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Versions

 @@ -492,7 +492,7 @@

Versions

flair.datasets.base#

-class flair.datasets.base.DataLoader(dataset, batch_size=1, shuffle=False, sampler=None, batch_sampler=None, drop_last=False, timeout=0, worker_init_fn=None)View on GitHub#
+class flair.datasets.base.DataLoader(dataset, batch_size=1, shuffle=False, sampler=None, batch_sampler=None, drop_last=False, timeout=0, worker_init_fn=None)View on GitHub#

Bases: DataLoader

@@ -543,12 +543,12 @@

Versions

-class flair.datasets.base.FlairDatapointDataset(datapoints)View on GitHub#
+class flair.datasets.base.FlairDatapointDataset(datapoints)View on GitHub#

Bases: FlairDataset, Generic[DT]

A simple Dataset object to wrap a List of Datapoints, for example Sentences.

-__init__(datapoints)View on GitHub#
+__init__(datapoints)View on GitHub#

Instantiate FlairDatapointDataset.

Parameters:
@@ -559,7 +559,7 @@

Versions

-is_in_memory()View on GitHub#
+is_in_memory()View on GitHub#
Return type:

bool

@@ -571,11 +571,11 @@

Versions

-class flair.datasets.base.SentenceDataset(sentences)View on GitHub#
+class flair.datasets.base.SentenceDataset(sentences)View on GitHub#

Bases: FlairDatapointDataset

-__init__(sentences)View on GitHub#
+__init__(sentences)View on GitHub#

Deprecated since version 0.11: The ‘SentenceDataset’ class was renamed to ‘FlairDatapointDataset’

@@ -586,12 +586,12 @@

Versions

-class flair.datasets.base.StringDataset(texts, use_tokenizer=<flair.tokenization.SpaceTokenizer object>)View on GitHub#
+class flair.datasets.base.StringDataset(texts, use_tokenizer=<flair.tokenization.SpaceTokenizer object>)View on GitHub#

Bases: FlairDataset

A Dataset taking string as input and returning Sentence during iteration.

-__init__(texts, use_tokenizer=<flair.tokenization.SpaceTokenizer object>)View on GitHub#
+__init__(texts, use_tokenizer=<flair.tokenization.SpaceTokenizer object>)View on GitHub#

Instantiate StringDataset.

Parameters:
@@ -606,7 +606,7 @@

Versions

-abstract is_in_memory()View on GitHub#
+abstract is_in_memory()View on GitHub#
Return type:

bool

@@ -618,11 +618,11 @@

Versions

-class flair.datasets.base.MongoDataset(query, host, port, database, collection, text_field, categories_field=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, tokenizer=<flair.tokenization.SegtokTokenizer object>, in_memory=True, tag_type='class')View on GitHub#
+class flair.datasets.base.MongoDataset(query, host, port, database, collection, text_field, categories_field=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, tokenizer=<flair.tokenization.SegtokTokenizer object>, in_memory=True, tag_type='class')View on GitHub#

Bases: FlairDataset

-__init__(query, host, port, database, collection, text_field, categories_field=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, tokenizer=<flair.tokenization.SegtokTokenizer object>, in_memory=True, tag_type='class')View on GitHub#
+__init__(query, host, port, database, collection, text_field, categories_field=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, tokenizer=<flair.tokenization.SegtokTokenizer object>, in_memory=True, tag_type='class')View on GitHub#

Reads Mongo collections.

Each collection should contain one document/text per item.

Each item should have the following format: @@ -657,7 +657,7 @@

Versions

-is_in_memory()View on GitHub#
+is_in_memory()View on GitHub#
Return type:

bool

@@ -669,7 +669,7 @@

Versions

-flair.datasets.base.find_train_dev_test_files(data_folder, dev_file, test_file, train_file, autofind_splits=True)View on GitHub#
+flair.datasets.base.find_train_dev_test_files(data_folder, dev_file, test_file, train_file, autofind_splits=True)View on GitHub#
diff --git a/doc-page/api/datasets/biomedical.html b/master/api/datasets/biomedical.html similarity index 85% rename from doc-page/api/datasets/biomedical.html rename to master/api/datasets/biomedical.html index 01a61b0ebc..9f0b04bb47 100644 --- a/doc-page/api/datasets/biomedical.html +++ b/master/api/datasets/biomedical.html @@ -424,7 +424,7 @@

Versions

@@ -492,14 +492,14 @@

Versions

flair.datasets.biomedical#

-class flair.datasets.biomedical.Entity(char_span, entity_type)View on GitHub#
+class flair.datasets.biomedical.Entity(char_span, entity_type)View on GitHub#

Bases: object

Internal class to represent entities while converting biomedical NER corpora to a standardized format.

Each entity consists of the char span it addresses in the original text as well as the type of entity (e.g. Chemical, Gene, and so on).

-is_before(other_entity)View on GitHub#
+is_before(other_entity)View on GitHub#

Checks whether this entity is located before the given one.

Parameters:
@@ -513,7 +513,7 @@

Versions

-contains(other_entity)View on GitHub#
+contains(other_entity)View on GitHub#

Checks whether the given entity is fully contained in this entity.

Parameters:
@@ -527,7 +527,7 @@

Versions

-overlaps(other_entity)View on GitHub#
+overlaps(other_entity)View on GitHub#

Checks whether this and the given entity overlap.

Parameters:
@@ -543,14 +543,14 @@

Versions

-class flair.datasets.biomedical.InternalBioNerDataset(documents, entities_per_document)View on GitHub#
+class flair.datasets.biomedical.InternalBioNerDataset(documents, entities_per_document)View on GitHub#

Bases: object

Internal class to represent a corpus and it’s entities.

-class flair.datasets.biomedical.DpEntry(position_end, entity_count, entity_lengths_sum, last_entity)View on GitHub#
+class flair.datasets.biomedical.DpEntry(position_end, entity_count, entity_lengths_sum, last_entity)View on GitHub#

Bases: tuple

@@ -580,12 +580,12 @@

Versions

-flair.datasets.biomedical.merge_datasets(data_sets)View on GitHub#
+flair.datasets.biomedical.merge_datasets(data_sets)View on GitHub#
-flair.datasets.biomedical.filter_and_map_entities(dataset, entity_type_to_canonical)View on GitHub#
+flair.datasets.biomedical.filter_and_map_entities(dataset, entity_type_to_canonical)View on GitHub#
Return type:

InternalBioNerDataset

@@ -595,7 +595,7 @@

Versions

-flair.datasets.biomedical.filter_nested_entities(dataset)View on GitHub#
+flair.datasets.biomedical.filter_nested_entities(dataset)View on GitHub#
Return type:

None

@@ -605,7 +605,7 @@

Versions

-flair.datasets.biomedical.bioc_to_internal(bioc_file)View on GitHub#
+flair.datasets.biomedical.bioc_to_internal(bioc_file)View on GitHub#

Helper function to parse corpora that are given in BIOC format. See.

http://bioc.sourceforge.net/

for details.

@@ -613,7 +613,7 @@

Versions

-flair.datasets.biomedical.brat_to_internal(corpus_dir, ann_file_suffixes=None)View on GitHub#
+flair.datasets.biomedical.brat_to_internal(corpus_dir, ann_file_suffixes=None)View on GitHub#

Helper function to parse corpora that are annotated using BRAT. See.

https://brat.nlplab.org/

for details.

@@ -626,12 +626,12 @@

Versions

-class flair.datasets.biomedical.CoNLLWriter(sentence_splitter)View on GitHub#
+class flair.datasets.biomedical.CoNLLWriter(sentence_splitter)View on GitHub#

Bases: object

Utility class for writing InternalBioNerDataset to CoNLL files.

-__init__(sentence_splitter)View on GitHub#
+__init__(sentence_splitter)View on GitHub#

Initialize CoNLLWriter.

Parameters:
@@ -642,19 +642,19 @@

Versions

-process_dataset(datasets, out_dir)View on GitHub#
+process_dataset(datasets, out_dir)View on GitHub#
-write_to_conll(dataset, output_file)View on GitHub#
+write_to_conll(dataset, output_file)View on GitHub#
-class flair.datasets.biomedical.HunerDataset(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+class flair.datasets.biomedical.HunerDataset(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Bases: ColumnCorpus, ABC

Base class for HUNER datasets.

@@ -671,7 +671,7 @@

Versions

-abstract to_internal(data_folder)View on GitHub#
+abstract to_internal(data_folder)View on GitHub#
Return type:

InternalBioNerDataset

@@ -681,7 +681,7 @@

Versions

-abstract static split_url()View on GitHub#
+abstract static split_url()View on GitHub#
Return type:

str

@@ -691,7 +691,7 @@

Versions

-get_corpus_sentence_splitter()View on GitHub#
+get_corpus_sentence_splitter()View on GitHub#

Return the pre-defined sentence splitter if defined, otherwise return None.

Return type:
@@ -702,7 +702,7 @@

Versions

-__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Initialize the HUNER corpus.

Parameters:
@@ -718,14 +718,14 @@

Versions

-get_subset(dataset, split, split_dir)View on GitHub#
+get_subset(dataset, split, split_dir)View on GitHub#
-class flair.datasets.biomedical.BIO_INFER(base_path=None, in_memory=True)View on GitHub#
+class flair.datasets.biomedical.BIO_INFER(base_path=None, in_memory=True)View on GitHub#

Bases: ColumnCorpus

Original BioInfer corpus.

@@ -735,7 +735,7 @@

Versions

-__init__(base_path=None, in_memory=True)View on GitHub#
+__init__(base_path=None, in_memory=True)View on GitHub#

Initialize the BioInfer corpus.

Parameters:
@@ -749,7 +749,7 @@

Versions

-classmethod download_dataset(data_dir)View on GitHub#
+classmethod download_dataset(data_dir)View on GitHub#
Return type:

Path

@@ -759,19 +759,19 @@

Versions

-classmethod parse_dataset(original_file)View on GitHub#
+classmethod parse_dataset(original_file)View on GitHub#
-class flair.datasets.biomedical.HUNER_GENE_BIO_INFER(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE_BIO_INFER(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the BioInfer corpus containing only gene/protein annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -781,7 +781,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -793,7 +793,7 @@

Versions

-class flair.datasets.biomedical.JNLPBA(base_path=None, in_memory=True)View on GitHub#
+class flair.datasets.biomedical.JNLPBA(base_path=None, in_memory=True)View on GitHub#

Bases: ColumnCorpus

Original corpus of the JNLPBA shared task.

For further information see Kim et al.: Introduction to the Bio- @@ -805,7 +805,7 @@

Versions

-__init__(base_path=None, in_memory=True)View on GitHub#
+__init__(base_path=None, in_memory=True)View on GitHub#

Initialize the JNLPBA corpus.

Parameters:
@@ -821,11 +821,11 @@

Versions

-class flair.datasets.biomedical.HunerJNLPBAView on GitHub#
+class flair.datasets.biomedical.HunerJNLPBAView on GitHub#

Bases: object

-classmethod download_and_prepare_train(data_folder, sentence_tag)View on GitHub#
+classmethod download_and_prepare_train(data_folder, sentence_tag)View on GitHub#
Return type:

InternalBioNerDataset

@@ -835,7 +835,7 @@

Versions

-classmethod download_and_prepare_test(data_folder, sentence_tag)View on GitHub#
+classmethod download_and_prepare_test(data_folder, sentence_tag)View on GitHub#
Return type:

InternalBioNerDataset

@@ -845,7 +845,7 @@

Versions

-classmethod read_file(input_iob_file, sentence_tag)View on GitHub#
+classmethod read_file(input_iob_file, sentence_tag)View on GitHub#
Return type:

InternalBioNerDataset

@@ -857,12 +857,12 @@

Versions

-class flair.datasets.biomedical.HUNER_GENE_JNLPBA(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE_JNLPBA(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the JNLPBA corpus containing gene annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -872,7 +872,7 @@

Versions

-get_corpus_sentence_splitter()View on GitHub#
+get_corpus_sentence_splitter()View on GitHub#

Return the pre-defined sentence splitter if defined, otherwise return None.

Return type:
@@ -883,7 +883,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -895,12 +895,12 @@

Versions

-class flair.datasets.biomedical.HUNER_CELL_LINE_JNLPBA(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_CELL_LINE_JNLPBA(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the JNLPBA corpus containing cell line annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -910,7 +910,7 @@

Versions

-get_corpus_sentence_splitter()View on GitHub#
+get_corpus_sentence_splitter()View on GitHub#

Return the pre-defined sentence splitter if defined, otherwise return None.

Return type:
@@ -921,7 +921,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -933,7 +933,7 @@

Versions

-class flair.datasets.biomedical.CELL_FINDER(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+class flair.datasets.biomedical.CELL_FINDER(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Bases: ColumnCorpus

Original CellFinder corpus containing cell line, species and gene annotations.

For futher information see Neves et al.: Annotating and @@ -941,7 +941,7 @@

Versions

https://pdfs.semanticscholar.org/38e3/75aeeeb1937d03c3c80128a70d8e7a74441f.pdf

-__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Initialize the CellFinder corpus.

Parameters:
@@ -957,7 +957,7 @@

Versions

-classmethod download_and_prepare(data_folder)View on GitHub#
+classmethod download_and_prepare(data_folder)View on GitHub#
Return type:

InternalBioNerDataset

@@ -967,7 +967,7 @@

Versions

-classmethod read_folder(data_folder)View on GitHub#
+classmethod read_folder(data_folder)View on GitHub#
Return type:

InternalBioNerDataset

@@ -979,12 +979,12 @@

Versions

-class flair.datasets.biomedical.HUNER_CELL_LINE_CELL_FINDER(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_CELL_LINE_CELL_FINDER(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the CellFinder corpus containing only cell line annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -994,7 +994,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -1006,12 +1006,12 @@

Versions

-class flair.datasets.biomedical.HUNER_SPECIES_CELL_FINDER(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_SPECIES_CELL_FINDER(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the CellFinder corpus containing only species annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -1021,7 +1021,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -1033,12 +1033,12 @@

Versions

-class flair.datasets.biomedical.HUNER_GENE_CELL_FINDER(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE_CELL_FINDER(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the CellFinder corpus containing only gene annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -1048,7 +1048,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -1060,7 +1060,7 @@

Versions

-class flair.datasets.biomedical.MIRNA(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+class flair.datasets.biomedical.MIRNA(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Bases: ColumnCorpus

Original miRNA corpus.

For further information see Bagewadi et al.: Detecting miRNA @@ -1072,7 +1072,7 @@

Versions

-__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Initialize the miRNA corpus.

Parameters:
@@ -1090,17 +1090,17 @@

Versions

-classmethod download_and_prepare_train(data_folder, sentence_separator)View on GitHub#
+classmethod download_and_prepare_train(data_folder, sentence_separator)View on GitHub#
-classmethod download_and_prepare_test(data_folder, sentence_separator)View on GitHub#
+classmethod download_and_prepare_test(data_folder, sentence_separator)View on GitHub#
-classmethod parse_file(input_file, split, sentence_separator)View on GitHub#
+classmethod parse_file(input_file, split, sentence_separator)View on GitHub#
Return type:

InternalBioNerDataset

@@ -1112,23 +1112,23 @@

Versions

-class flair.datasets.biomedical.HunerMiRNAHelperView on GitHub#
+class flair.datasets.biomedical.HunerMiRNAHelperView on GitHub#

Bases: object

-static get_mirna_subset(dataset, split_url, split_dir)View on GitHub#
+static get_mirna_subset(dataset, split_url, split_dir)View on GitHub#
-class flair.datasets.biomedical.HUNER_GENE_MIRNA(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE_MIRNA(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the miRNA corpus containing protein / gene annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -1138,18 +1138,18 @@

Versions

-get_subset(dataset, split, split_dir)View on GitHub#
+get_subset(dataset, split, split_dir)View on GitHub#
-get_corpus_sentence_splitter()View on GitHub#
+get_corpus_sentence_splitter()View on GitHub#

Return the pre-defined sentence splitter if defined, otherwise return None.

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -1161,12 +1161,12 @@

Versions

-class flair.datasets.biomedical.HUNER_SPECIES_MIRNA(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_SPECIES_MIRNA(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the miRNA corpus containing species annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -1176,12 +1176,12 @@

Versions

-get_subset(dataset, split, split_dir)View on GitHub#
+get_subset(dataset, split, split_dir)View on GitHub#
-get_corpus_sentence_splitter()View on GitHub#
+get_corpus_sentence_splitter()View on GitHub#

Return the pre-defined sentence splitter if defined, otherwise return None.

Return type:
@@ -1192,7 +1192,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -1204,12 +1204,12 @@

Versions

-class flair.datasets.biomedical.HUNER_DISEASE_MIRNA(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_DISEASE_MIRNA(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the miRNA corpus containing disease annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -1219,12 +1219,12 @@

Versions

-get_subset(dataset, split, split_dir)View on GitHub#
+get_subset(dataset, split, split_dir)View on GitHub#
-get_corpus_sentence_splitter()View on GitHub#
+get_corpus_sentence_splitter()View on GitHub#

Return the pre-defined sentence splitter if defined, otherwise return None.

Return type:
@@ -1235,7 +1235,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -1247,27 +1247,27 @@

Versions

-class flair.datasets.biomedical.KaewphanCorpusHelperView on GitHub#
+class flair.datasets.biomedical.KaewphanCorpusHelperView on GitHub#

Bases: object

Helper class for the corpora from Kaewphan et al., i.e. CLL and Gellus.

-static download_cll_dataset(data_folder)View on GitHub#
+static download_cll_dataset(data_folder)View on GitHub#
-static prepare_and_save_dataset(nersuite_folder, output_file)View on GitHub#
+static prepare_and_save_dataset(nersuite_folder, output_file)View on GitHub#
-static download_gellus_dataset(data_folder)View on GitHub#
+static download_gellus_dataset(data_folder)View on GitHub#
-static read_dataset(nersuite_folder, sentence_separator)View on GitHub#
+static read_dataset(nersuite_folder, sentence_separator)View on GitHub#
Return type:

InternalBioNerDataset

@@ -1279,7 +1279,7 @@

Versions

-class flair.datasets.biomedical.CLL(base_path=None, in_memory=True)View on GitHub#
+class flair.datasets.biomedical.CLL(base_path=None, in_memory=True)View on GitHub#

Bases: ColumnCorpus

Original CLL corpus containing cell line annotations.

For further information, see Kaewphan et al.: Cell line name @@ -1288,7 +1288,7 @@

Versions

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4708107/

-__init__(base_path=None, in_memory=True)View on GitHub#
+__init__(base_path=None, in_memory=True)View on GitHub#

Initialize the CLL corpus.

Parameters:
@@ -1304,12 +1304,12 @@

Versions

-class flair.datasets.biomedical.HUNER_CELL_LINE_CLL(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_CELL_LINE_CLL(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the CLL corpus containing cell line annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -1319,7 +1319,7 @@

Versions

-get_corpus_sentence_splitter()View on GitHub#
+get_corpus_sentence_splitter()View on GitHub#

Return the pre-defined sentence splitter if defined, otherwise return None.

Return type:
@@ -1330,7 +1330,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -1342,7 +1342,7 @@

Versions

-class flair.datasets.biomedical.GELLUS(base_path=None, in_memory=True)View on GitHub#
+class flair.datasets.biomedical.GELLUS(base_path=None, in_memory=True)View on GitHub#

Bases: ColumnCorpus

Original Gellus corpus containing cell line annotations.

For further information, see Kaewphan et al.: Cell line name @@ -1351,7 +1351,7 @@

Versions

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4708107/

-__init__(base_path=None, in_memory=True)View on GitHub#
+__init__(base_path=None, in_memory=True)View on GitHub#

Initialize the GELLUS corpus.

Parameters:
@@ -1367,12 +1367,12 @@

Versions

-class flair.datasets.biomedical.HUNER_CELL_LINE_GELLUS(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_CELL_LINE_GELLUS(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the Gellus corpus containing cell line annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -1382,7 +1382,7 @@

Versions

-get_corpus_sentence_splitter()View on GitHub#
+get_corpus_sentence_splitter()View on GitHub#

Return the pre-defined sentence splitter if defined, otherwise return None.

Return type:
@@ -1393,7 +1393,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -1405,7 +1405,7 @@

Versions

-class flair.datasets.biomedical.LOCTEXT(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+class flair.datasets.biomedical.LOCTEXT(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Bases: ColumnCorpus

Original LOCTEXT corpus containing species annotations.

@@ -1415,7 +1415,7 @@

Versions

-__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Initialize the LOCTEXT corpus.

Parameters:
@@ -1431,12 +1431,12 @@

Versions

-static download_dataset(data_dir)View on GitHub#
+static download_dataset(data_dir)View on GitHub#
-static parse_dataset(data_dir)View on GitHub#
+static parse_dataset(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -1448,12 +1448,12 @@

Versions

-class flair.datasets.biomedical.HUNER_SPECIES_LOCTEXT(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_SPECIES_LOCTEXT(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the Loctext corpus containing species annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -1463,7 +1463,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -1475,12 +1475,12 @@

Versions

-class flair.datasets.biomedical.HUNER_GENE_LOCTEXT(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE_LOCTEXT(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the Loctext corpus containing protein annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -1490,7 +1490,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -1502,7 +1502,7 @@

Versions

-class flair.datasets.biomedical.CHEMDNER(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+class flair.datasets.biomedical.CHEMDNER(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Bases: ColumnCorpus

Original corpus of the CHEMDNER shared task.

For further information see Krallinger et al.: The CHEMDNER corpus @@ -1514,7 +1514,7 @@

Versions

-__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Initialize the CHEMDNER corpus.

Parameters:
@@ -1530,19 +1530,19 @@

Versions

-static download_dataset(data_dir)View on GitHub#
+static download_dataset(data_dir)View on GitHub#
-class flair.datasets.biomedical.HUNER_CHEMICAL_CHEMDNER(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_CHEMICAL_CHEMDNER(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the CHEMDNER corpus containing chemical annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -1552,7 +1552,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -1564,7 +1564,7 @@

Versions

-class flair.datasets.biomedical.IEPA(base_path=None, in_memory=True)View on GitHub#
+class flair.datasets.biomedical.IEPA(base_path=None, in_memory=True)View on GitHub#

Bases: ColumnCorpus

IEPA corpus as provided by http://corpora.informatik.hu-berlin.de/.

For further information see Ding, Berleant, Nettleton, Wurtele: @@ -1576,7 +1576,7 @@

Versions

-__init__(base_path=None, in_memory=True)View on GitHub#
+__init__(base_path=None, in_memory=True)View on GitHub#

Initialize the IEPA corpus.

Parameters:
@@ -1590,24 +1590,24 @@

Versions

-static download_dataset(data_dir)View on GitHub#
+static download_dataset(data_dir)View on GitHub#
-classmethod parse_dataset(original_file)View on GitHub#
+classmethod parse_dataset(original_file)View on GitHub#
-class flair.datasets.biomedical.HUNER_GENE_IEPA(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE_IEPA(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the IEPA corpus containing gene annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -1617,7 +1617,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -1629,7 +1629,7 @@

Versions

-class flair.datasets.biomedical.LINNEAUS(base_path=None, in_memory=True, tokenizer=None)View on GitHub#
+class flair.datasets.biomedical.LINNEAUS(base_path=None, in_memory=True, tokenizer=None)View on GitHub#

Bases: ColumnCorpus

Original LINNEAUS corpus containing species annotations.

@@ -1643,7 +1643,7 @@

Versions

-__init__(base_path=None, in_memory=True, tokenizer=None)View on GitHub#
+__init__(base_path=None, in_memory=True, tokenizer=None)View on GitHub#

Initialize the LINNEAUS corpus.

Parameters:
@@ -1659,19 +1659,19 @@

Versions

-static download_and_parse_dataset(data_dir)View on GitHub#
+static download_and_parse_dataset(data_dir)View on GitHub#
-class flair.datasets.biomedical.HUNER_SPECIES_LINNEAUS(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_SPECIES_LINNEAUS(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the LINNEAUS corpus containing species annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -1681,7 +1681,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -1693,7 +1693,7 @@

Versions

-class flair.datasets.biomedical.CDR(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+class flair.datasets.biomedical.CDR(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Bases: ColumnCorpus

CDR corpus as provided by JHnlp/BioCreative-V-CDR-Corpus.

For further information see Li et al.: BioCreative V CDR task @@ -1705,7 +1705,7 @@

Versions

-__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Initialize the CDR corpus.

Parameters:
@@ -1721,19 +1721,19 @@

Versions

-static download_dataset(data_dir)View on GitHub#
+static download_dataset(data_dir)View on GitHub#
-class flair.datasets.biomedical.HUNER_DISEASE_CDR(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_DISEASE_CDR(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the IEPA corpus containing disease annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -1743,7 +1743,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -1755,12 +1755,12 @@

Versions

-class flair.datasets.biomedical.HUNER_CHEMICAL_CDR(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_CHEMICAL_CDR(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the IEPA corpus containing chemical annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -1770,7 +1770,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -1782,7 +1782,7 @@

Versions

-class flair.datasets.biomedical.VARIOME(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+class flair.datasets.biomedical.VARIOME(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Bases: ColumnCorpus

Variome corpus as provided by http://corpora.informatik.hu-berlin.de/corpora/brat2bioc/hvp_bioc.xml.zip.

For further information see Verspoor et al.: Annotating the @@ -1794,7 +1794,7 @@

Versions

-__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Initialize the Variome corpus.

Parameters:
@@ -1810,12 +1810,12 @@

Versions

-static download_dataset(data_dir)View on GitHub#
+static download_dataset(data_dir)View on GitHub#
-static parse_corpus(corpus_xml)View on GitHub#
+static parse_corpus(corpus_xml)View on GitHub#
Return type:

InternalBioNerDataset

@@ -1827,12 +1827,12 @@

Versions

-class flair.datasets.biomedical.HUNER_GENE_VARIOME(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE_VARIOME(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the Variome corpus containing gene annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -1842,7 +1842,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -1854,12 +1854,12 @@

Versions

-class flair.datasets.biomedical.HUNER_DISEASE_VARIOME(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_DISEASE_VARIOME(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the Variome corpus containing disease annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -1869,7 +1869,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -1881,12 +1881,12 @@

Versions

-class flair.datasets.biomedical.HUNER_SPECIES_VARIOME(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_SPECIES_VARIOME(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the Variome corpus containing species annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -1896,7 +1896,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -1908,7 +1908,7 @@

Versions

-class flair.datasets.biomedical.NCBI_DISEASE(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+class flair.datasets.biomedical.NCBI_DISEASE(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Bases: ColumnCorpus

Original NCBI disease corpus containing disease annotations.

For further information see @@ -1921,7 +1921,7 @@

Versions

-__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Initialize the NCBI disease corpus.

Parameters:
@@ -1937,7 +1937,7 @@

Versions

-classmethod download_corpus(data_dir)View on GitHub#
+classmethod download_corpus(data_dir)View on GitHub#
Return type:

Path

@@ -1947,24 +1947,24 @@

Versions

-static patch_training_file(orig_train_file, patched_file)View on GitHub#
+static patch_training_file(orig_train_file, patched_file)View on GitHub#
-static parse_input_file(input_file)View on GitHub#
+static parse_input_file(input_file)View on GitHub#
-class flair.datasets.biomedical.HUNER_DISEASE_NCBI(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_DISEASE_NCBI(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the NCBI corpus containing disease annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -1974,7 +1974,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -1986,12 +1986,12 @@

Versions

-class flair.datasets.biomedical.ScaiCorpus(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+class flair.datasets.biomedical.ScaiCorpus(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Bases: ColumnCorpus

Base class to support the SCAI chemicals and disease corpora.

-__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Initialize the SCAU corpus.

Parameters:
@@ -2007,7 +2007,7 @@

Versions

-download_corpus(data_folder)View on GitHub#
+download_corpus(data_folder)View on GitHub#
Return type:

Path

@@ -2017,14 +2017,14 @@

Versions

-static parse_input_file(input_file)View on GitHub#
+static parse_input_file(input_file)View on GitHub#
-class flair.datasets.biomedical.SCAI_CHEMICALS(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.SCAI_CHEMICALS(*args, **kwargs)View on GitHub#

Bases: ScaiCorpus

Original SCAI chemicals corpus containing chemical annotations.

For further information see Kolářik et al.: Chemical Names: @@ -2036,7 +2036,7 @@

Versions

-download_corpus(data_dir)View on GitHub#
+download_corpus(data_dir)View on GitHub#
Return type:

Path

@@ -2046,7 +2046,7 @@

Versions

-static perform_corpus_download(data_dir)View on GitHub#
+static perform_corpus_download(data_dir)View on GitHub#
Return type:

Path

@@ -2058,7 +2058,7 @@

Versions

-class flair.datasets.biomedical.SCAI_DISEASE(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.SCAI_DISEASE(*args, **kwargs)View on GitHub#

Bases: ScaiCorpus

Original SCAI disease corpus containing disease annotations.

For further information see Gurulingappa et al.: An Empirical @@ -2071,7 +2071,7 @@

Versions

-download_corpus(data_dir)View on GitHub#
+download_corpus(data_dir)View on GitHub#
Return type:

Path

@@ -2081,7 +2081,7 @@

Versions

-static perform_corpus_download(data_dir)View on GitHub#
+static perform_corpus_download(data_dir)View on GitHub#
Return type:

Path

@@ -2093,12 +2093,12 @@

Versions

-class flair.datasets.biomedical.HUNER_CHEMICAL_SCAI(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_CHEMICAL_SCAI(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the SCAI chemicals corpus containing chemical annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -2108,7 +2108,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -2120,12 +2120,12 @@

Versions

-class flair.datasets.biomedical.HUNER_DISEASE_SCAI(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_DISEASE_SCAI(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the SCAI chemicals corpus containing chemical annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -2135,7 +2135,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -2147,7 +2147,7 @@

Versions

-class flair.datasets.biomedical.OSIRIS(base_path=None, in_memory=True, sentence_splitter=None, load_original_unfixed_annotation=False)View on GitHub#
+class flair.datasets.biomedical.OSIRIS(base_path=None, in_memory=True, sentence_splitter=None, load_original_unfixed_annotation=False)View on GitHub#

Bases: ColumnCorpus

Original OSIRIS corpus containing variation and gene annotations.

For further information see Furlong et al.: Osiris v1.2: a named @@ -2160,7 +2160,7 @@

Versions

-__init__(base_path=None, in_memory=True, sentence_splitter=None, load_original_unfixed_annotation=False)View on GitHub#
+__init__(base_path=None, in_memory=True, sentence_splitter=None, load_original_unfixed_annotation=False)View on GitHub#

Initialize the OSIRIS corpus.

Parameters:
@@ -2179,7 +2179,7 @@

Versions

-classmethod download_dataset(data_dir)View on GitHub#
+classmethod download_dataset(data_dir)View on GitHub#
Return type:

Path

@@ -2189,19 +2189,19 @@

Versions

-classmethod parse_dataset(corpus_folder, fix_annotation=True)View on GitHub#
+classmethod parse_dataset(corpus_folder, fix_annotation=True)View on GitHub#
-class flair.datasets.biomedical.HUNER_GENE_OSIRIS(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE_OSIRIS(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the OSIRIS corpus containing (only) gene annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -2211,7 +2211,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -2223,7 +2223,7 @@

Versions

-class flair.datasets.biomedical.S800(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+class flair.datasets.biomedical.S800(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Bases: ColumnCorpus

S800 corpus.

For further information see @@ -2231,7 +2231,7 @@

Versions

http://www.plosone.org/article/info:doi%2F10.1371%2Fjournal.pone.0065390.

-__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Initialize the S800 corpus.

Parameters:
@@ -2247,12 +2247,12 @@

Versions

-static download_dataset(data_dir)View on GitHub#
+static download_dataset(data_dir)View on GitHub#
-static parse_dataset(data_dir)View on GitHub#
+static parse_dataset(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -2264,12 +2264,12 @@

Versions

-class flair.datasets.biomedical.HUNER_SPECIES_S800(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_SPECIES_S800(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the S800 corpus containing species annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -2279,7 +2279,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -2291,14 +2291,14 @@

Versions

-class flair.datasets.biomedical.GPRO(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+class flair.datasets.biomedical.GPRO(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Bases: ColumnCorpus

Original GPRO corpus containing gene annotations.

For further information see: https://biocreative.bioinformatics.udel.edu/tasks/biocreative-v/gpro-detailed-task-description/

-__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Initialize the GPRO corpus.

Parameters:
@@ -2314,7 +2314,7 @@

Versions

-classmethod download_train_corpus(data_dir)View on GitHub#
+classmethod download_train_corpus(data_dir)View on GitHub#
Return type:

Path

@@ -2324,7 +2324,7 @@

Versions

-classmethod download_dev_corpus(data_dir)View on GitHub#
+classmethod download_dev_corpus(data_dir)View on GitHub#
Return type:

Path

@@ -2334,7 +2334,7 @@

Versions

-static parse_input_file(text_file, ann_file)View on GitHub#
+static parse_input_file(text_file, ann_file)View on GitHub#
Return type:

InternalBioNerDataset

@@ -2346,12 +2346,12 @@

Versions

-class flair.datasets.biomedical.HUNER_GENE_GPRO(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE_GPRO(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the GPRO corpus containing gene annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -2361,7 +2361,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -2373,7 +2373,7 @@

Versions

-class flair.datasets.biomedical.DECA(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+class flair.datasets.biomedical.DECA(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Bases: ColumnCorpus

Original DECA corpus containing gene annotations.

For further information see Wang et al.: Disambiguating the @@ -2381,7 +2381,7 @@

Versions

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2828111/

-__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Initialize the DECA corpus.

Parameters:
@@ -2397,7 +2397,7 @@

Versions

-classmethod download_corpus(data_dir)View on GitHub#
+classmethod download_corpus(data_dir)View on GitHub#
Return type:

Path

@@ -2407,7 +2407,7 @@

Versions

-static parse_corpus(text_dir, gold_file)View on GitHub#
+static parse_corpus(text_dir, gold_file)View on GitHub#
Return type:

InternalBioNerDataset

@@ -2419,12 +2419,12 @@

Versions

-class flair.datasets.biomedical.HUNER_GENE_DECA(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE_DECA(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the DECA corpus containing gene annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -2434,7 +2434,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -2446,7 +2446,7 @@

Versions

-class flair.datasets.biomedical.FSU(base_path=None, in_memory=True)View on GitHub#
+class flair.datasets.biomedical.FSU(base_path=None, in_memory=True)View on GitHub#

Bases: ColumnCorpus

Original FSU corpus containing protein and derived annotations.

For further information see @@ -2454,7 +2454,7 @@

Versions

https://www.aclweb.org/anthology/W10-1838/

-__init__(base_path=None, in_memory=True)View on GitHub#
+__init__(base_path=None, in_memory=True)View on GitHub#

Initialize the FSU corpus.

Parameters:
@@ -2468,7 +2468,7 @@

Versions

-classmethod download_corpus(data_dir)View on GitHub#
+classmethod download_corpus(data_dir)View on GitHub#
Return type:

Path

@@ -2478,7 +2478,7 @@

Versions

-static parse_corpus(corpus_dir, sentence_separator)View on GitHub#
+static parse_corpus(corpus_dir, sentence_separator)View on GitHub#
Return type:

InternalBioNerDataset

@@ -2490,12 +2490,12 @@

Versions

-class flair.datasets.biomedical.HUNER_GENE_FSU(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE_FSU(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the FSU corpus containing (only) gene annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -2505,7 +2505,7 @@

Versions

-get_corpus_sentence_splitter()View on GitHub#
+get_corpus_sentence_splitter()View on GitHub#

Return the pre-defined sentence splitter if defined, otherwise return None.

Return type:
@@ -2516,7 +2516,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -2528,7 +2528,7 @@

Versions

-class flair.datasets.biomedical.CRAFT(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+class flair.datasets.biomedical.CRAFT(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Bases: ColumnCorpus

Original CRAFT corpus (version 2.0) containing all but the coreference and sections/typography annotations.

For further information see Bada et al.: Concept annotation in the @@ -2536,7 +2536,7 @@

Versions

https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-13-161

-__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Initialize the CRAFT corpus.

Parameters:
@@ -2552,7 +2552,7 @@

Versions

-classmethod download_corpus(data_dir)View on GitHub#
+classmethod download_corpus(data_dir)View on GitHub#
Return type:

Path

@@ -2562,7 +2562,7 @@

Versions

-static parse_corpus(corpus_dir)View on GitHub#
+static parse_corpus(corpus_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -2574,7 +2574,7 @@

Versions

-class flair.datasets.biomedical.BIOSEMANTICS(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+class flair.datasets.biomedical.BIOSEMANTICS(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Bases: ColumnCorpus

Original Biosemantics corpus.

For further information see Akhondi et al.: Annotated chemical @@ -2582,7 +2582,7 @@

Versions

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4182036/

-__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Initialize the Biosemantics corpus.

Parameters:
@@ -2598,7 +2598,7 @@

Versions

-static download_dataset(data_dir)View on GitHub#
+static download_dataset(data_dir)View on GitHub#
Return type:

Path

@@ -2608,7 +2608,7 @@

Versions

-static parse_dataset(data_dir)View on GitHub#
+static parse_dataset(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -2620,7 +2620,7 @@

Versions

-class flair.datasets.biomedical.BC2GM(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+class flair.datasets.biomedical.BC2GM(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Bases: ColumnCorpus

Original BioCreative-II-GM corpus containing gene annotations.

For further information see Smith et al.: Overview of @@ -2632,7 +2632,7 @@

Versions

-__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Initialize the BioCreative-II-GM corpus.

Parameters:
@@ -2648,7 +2648,7 @@

Versions

-static download_dataset(data_dir)View on GitHub#
+static download_dataset(data_dir)View on GitHub#
Return type:

Path

@@ -2658,7 +2658,7 @@

Versions

-classmethod parse_train_dataset(data_folder)View on GitHub#
+classmethod parse_train_dataset(data_folder)View on GitHub#
Return type:

InternalBioNerDataset

@@ -2668,7 +2668,7 @@

Versions

-classmethod parse_test_dataset(data_folder)View on GitHub#
+classmethod parse_test_dataset(data_folder)View on GitHub#
Return type:

InternalBioNerDataset

@@ -2678,7 +2678,7 @@

Versions

-static parse_dataset(text_file, ann_file)View on GitHub#
+static parse_dataset(text_file, ann_file)View on GitHub#
Return type:

InternalBioNerDataset

@@ -2690,12 +2690,12 @@

Versions

-class flair.datasets.biomedical.HUNER_GENE_BC2GM(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE_BC2GM(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the BioCreative-II-GM corpus containing gene annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -2705,7 +2705,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -2717,14 +2717,14 @@

Versions

-class flair.datasets.biomedical.CEMP(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+class flair.datasets.biomedical.CEMP(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Bases: ColumnCorpus

Original CEMP corpus containing chemical annotations.

For further information see: https://biocreative.bioinformatics.udel.edu/tasks/biocreative-v/cemp-detailed-task-description/

-__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Initialize the CEMP corpus.

Parameters:
@@ -2740,7 +2740,7 @@

Versions

-classmethod download_train_corpus(data_dir)View on GitHub#
+classmethod download_train_corpus(data_dir)View on GitHub#
Return type:

Path

@@ -2750,7 +2750,7 @@

Versions

-classmethod download_dev_corpus(data_dir)View on GitHub#
+classmethod download_dev_corpus(data_dir)View on GitHub#
Return type:

Path

@@ -2760,7 +2760,7 @@

Versions

-static parse_input_file(text_file, ann_file)View on GitHub#
+static parse_input_file(text_file, ann_file)View on GitHub#
Return type:

InternalBioNerDataset

@@ -2772,12 +2772,12 @@

Versions

-class flair.datasets.biomedical.HUNER_CHEMICAL_CEMP(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_CHEMICAL_CEMP(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the CEMP corpus containing chemical annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -2787,7 +2787,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -2799,7 +2799,7 @@

Versions

-class flair.datasets.biomedical.CHEBI(base_path=None, in_memory=True, sentence_splitter=None, annotator=0)View on GitHub#
+class flair.datasets.biomedical.CHEBI(base_path=None, in_memory=True, sentence_splitter=None, annotator=0)View on GitHub#

Bases: ColumnCorpus

Original CHEBI corpus containing all annotations.

For further information see Shardlow et al.: A New Corpus to @@ -2812,7 +2812,7 @@

Versions

-__init__(base_path=None, in_memory=True, sentence_splitter=None, annotator=0)View on GitHub#
+__init__(base_path=None, in_memory=True, sentence_splitter=None, annotator=0)View on GitHub#

Initialize the CHEBI corpus.

Parameters:
@@ -2830,7 +2830,7 @@

Versions

-static download_dataset(data_dir)View on GitHub#
+static download_dataset(data_dir)View on GitHub#
Return type:

Path

@@ -2840,7 +2840,7 @@

Versions

-static parse_dataset(data_dir, annotator)View on GitHub#
+static parse_dataset(data_dir, annotator)View on GitHub#
Return type:

InternalBioNerDataset

@@ -2850,19 +2850,19 @@

Versions

-static get_entities(f)View on GitHub#
+static get_entities(f)View on GitHub#
-class flair.datasets.biomedical.HUNER_CHEMICAL_CHEBI(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_CHEMICAL_CHEBI(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the CHEBI corpus containing chemical annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -2872,7 +2872,7 @@

Versions

-to_internal(data_dir, annotator=0)View on GitHub#
+to_internal(data_dir, annotator=0)View on GitHub#
Return type:

InternalBioNerDataset

@@ -2884,12 +2884,12 @@

Versions

-class flair.datasets.biomedical.HUNER_GENE_CHEBI(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE_CHEBI(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the CHEBI corpus containing gene annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -2899,7 +2899,7 @@

Versions

-to_internal(data_dir, annotator=0)View on GitHub#
+to_internal(data_dir, annotator=0)View on GitHub#
Return type:

InternalBioNerDataset

@@ -2911,12 +2911,12 @@

Versions

-class flair.datasets.biomedical.HUNER_SPECIES_CHEBI(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_SPECIES_CHEBI(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the CHEBI corpus containing species annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -2926,7 +2926,7 @@

Versions

-to_internal(data_dir, annotator=0)View on GitHub#
+to_internal(data_dir, annotator=0)View on GitHub#
Return type:

InternalBioNerDataset

@@ -2938,14 +2938,14 @@

Versions

-class flair.datasets.biomedical.BioNLPCorpus(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+class flair.datasets.biomedical.BioNLPCorpus(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Bases: ColumnCorpus

Base class for corpora from BioNLP event extraction shared tasks.

For further information see: http://2013.bionlp-st.org/Intro

-__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Initialize the BioNLP Corpus.

Parameters:
@@ -2961,7 +2961,7 @@

Versions

-abstract static download_corpus(data_folder)View on GitHub#
+abstract static download_corpus(data_folder)View on GitHub#
Return type:

Tuple[Path, Path, Path]

@@ -2971,7 +2971,7 @@

Versions

-static parse_input_files(input_folder)View on GitHub#
+static parse_input_files(input_folder)View on GitHub#
Return type:

InternalBioNerDataset

@@ -2983,7 +2983,7 @@

Versions

-class flair.datasets.biomedical.BIONLP2013_PC(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+class flair.datasets.biomedical.BIONLP2013_PC(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Bases: BioNLPCorpus

Corpus of the BioNLP’2013 Pathway Curation shared task.

For further information see Ohta et al. Overview of the pathway @@ -2995,7 +2995,7 @@

Versions

-static download_corpus(download_folder)View on GitHub#
+static download_corpus(download_folder)View on GitHub#
Return type:

Tuple[Path, Path, Path]

@@ -3007,7 +3007,7 @@

Versions

-class flair.datasets.biomedical.BIONLP2013_CG(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+class flair.datasets.biomedical.BIONLP2013_CG(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Bases: BioNLPCorpus

Corpus of the BioNLP’2013 Cancer Genetics shared task.

For further information see Pyysalo, Ohta & Ananiadou 2013 @@ -3019,7 +3019,7 @@

Versions

-static download_corpus(download_folder)View on GitHub#
+static download_corpus(download_folder)View on GitHub#
Return type:

Tuple[Path, Path, Path]

@@ -3031,7 +3031,7 @@

Versions

-class flair.datasets.biomedical.ANAT_EM(base_path=None, in_memory=True, tokenizer=None)View on GitHub#
+class flair.datasets.biomedical.ANAT_EM(base_path=None, in_memory=True, tokenizer=None)View on GitHub#

Bases: ColumnCorpus

Corpus for anatomical named entity mention recognition.

For further information see Pyysalo and Ananiadou: Anatomical @@ -3044,7 +3044,7 @@

Versions

-__init__(base_path=None, in_memory=True, tokenizer=None)View on GitHub#
+__init__(base_path=None, in_memory=True, tokenizer=None)View on GitHub#

Initialize the anatomical named entity mention recognition Corpus.

Parameters:
@@ -3060,12 +3060,12 @@

Versions

-abstract static download_corpus(data_folder)View on GitHub#
+abstract static download_corpus(data_folder)View on GitHub#
-static parse_input_files(input_dir, sentence_separator)View on GitHub#
+static parse_input_files(input_dir, sentence_separator)View on GitHub#
Return type:

InternalBioNerDataset

@@ -3077,7 +3077,7 @@

Versions

-class flair.datasets.biomedical.BioBertHelper(data_folder, column_format, train_file=None, test_file=None, dev_file=None, autofind_splits=True, name=None, comment_symbol='# ', **corpusargs)View on GitHub#
+class flair.datasets.biomedical.BioBertHelper(data_folder, column_format, train_file=None, test_file=None, dev_file=None, autofind_splits=True, name=None, comment_symbol='# ', **corpusargs)View on GitHub#

Bases: ColumnCorpus

Helper class to convert corpora and the respective train, dev and test split used by BioBERT.

For further details see Lee et al.: @@ -3085,19 +3085,19 @@

Versions

dmis-lab/biobert

-static download_corpora(download_dir)View on GitHub#
+static download_corpora(download_dir)View on GitHub#
-static convert_and_write(download_folder, data_folder, tag_type)View on GitHub#
+static convert_and_write(download_folder, data_folder, tag_type)View on GitHub#
-class flair.datasets.biomedical.BIOBERT_CHEMICAL_BC4CHEMD(base_path=None, in_memory=True)View on GitHub#
+class flair.datasets.biomedical.BIOBERT_CHEMICAL_BC4CHEMD(base_path=None, in_memory=True)View on GitHub#

Bases: ColumnCorpus

BC4CHEMD corpus with chemical annotations as used in the evaluation of BioBERT.

For further details regarding BioBERT and it’s evaluation, see Lee @@ -3108,7 +3108,7 @@

Versions

-class flair.datasets.biomedical.BIOBERT_GENE_BC2GM(base_path=None, in_memory=True)View on GitHub#
+class flair.datasets.biomedical.BIOBERT_GENE_BC2GM(base_path=None, in_memory=True)View on GitHub#

Bases: ColumnCorpus

BC4CHEMD corpus with gene annotations as used in the evaluation of BioBERT.

For further details regarding BioBERT and it’s evaluation, see Lee @@ -3119,7 +3119,7 @@

Versions

-class flair.datasets.biomedical.BIOBERT_GENE_JNLPBA(base_path=None, in_memory=True)View on GitHub#
+class flair.datasets.biomedical.BIOBERT_GENE_JNLPBA(base_path=None, in_memory=True)View on GitHub#

Bases: ColumnCorpus

JNLPBA corpus with gene annotations as used in the evaluation of BioBERT.

For further details regarding BioBERT and it’s evaluation, see Lee @@ -3130,7 +3130,7 @@

Versions

-class flair.datasets.biomedical.BIOBERT_CHEMICAL_BC5CDR(base_path=None, in_memory=True)View on GitHub#
+class flair.datasets.biomedical.BIOBERT_CHEMICAL_BC5CDR(base_path=None, in_memory=True)View on GitHub#

Bases: ColumnCorpus

BC5CDR corpus with chemical annotations as used in the evaluation of BioBERT.

For further details regarding BioBERT and it’s evaluation, see Lee @@ -3141,7 +3141,7 @@

Versions

-class flair.datasets.biomedical.BIOBERT_DISEASE_BC5CDR(base_path=None, in_memory=True)View on GitHub#
+class flair.datasets.biomedical.BIOBERT_DISEASE_BC5CDR(base_path=None, in_memory=True)View on GitHub#

Bases: ColumnCorpus

BC5CDR corpus with disease annotations as used in the evaluation of BioBERT.

For further details regarding BioBERT and it’s evaluation, see Lee @@ -3152,7 +3152,7 @@

Versions

-class flair.datasets.biomedical.BIOBERT_DISEASE_NCBI(base_path=None, in_memory=True)View on GitHub#
+class flair.datasets.biomedical.BIOBERT_DISEASE_NCBI(base_path=None, in_memory=True)View on GitHub#

Bases: ColumnCorpus

NCBI disease corpus as used in the evaluation of BioBERT.

For further details regarding BioBERT and it’s evaluation, see Lee @@ -3163,7 +3163,7 @@

Versions

-class flair.datasets.biomedical.BIOBERT_SPECIES_LINNAEUS(base_path=None, in_memory=True)View on GitHub#
+class flair.datasets.biomedical.BIOBERT_SPECIES_LINNAEUS(base_path=None, in_memory=True)View on GitHub#

Bases: ColumnCorpus

Linneaeus corpus with species annotations as used in the evaluation of BioBERT.

For further details regarding BioBERT and it’s evaluation, see Lee @@ -3174,7 +3174,7 @@

Versions

-class flair.datasets.biomedical.BIOBERT_SPECIES_S800(base_path=None, in_memory=True)View on GitHub#
+class flair.datasets.biomedical.BIOBERT_SPECIES_S800(base_path=None, in_memory=True)View on GitHub#

Bases: ColumnCorpus

S800 corpus with species annotations as used in the evaluation of BioBERT.

For further details regarding BioBERT and it’s evaluation, see Lee @@ -3185,14 +3185,14 @@

Versions

-class flair.datasets.biomedical.CRAFT_V4(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+class flair.datasets.biomedical.CRAFT_V4(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Bases: ColumnCorpus

Version 4.0.1 of the CRAFT corpus containing all but the co-reference and structural annotations.

For further information see: UCDenver-ccp/CRAFT

-__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Initializes version 4.0.1 of the CRAFT corpus.

Parameters:
@@ -3208,7 +3208,7 @@

Versions

-filter_entities(corpus)View on GitHub#
+filter_entities(corpus)View on GitHub#
Return type:

InternalBioNerDataset

@@ -3218,7 +3218,7 @@

Versions

-classmethod download_corpus(data_dir)View on GitHub#
+classmethod download_corpus(data_dir)View on GitHub#
Return type:

Path

@@ -3228,7 +3228,7 @@

Versions

-static prepare_splits(data_dir, corpus)View on GitHub#
+static prepare_splits(data_dir, corpus)View on GitHub#
Return type:

Tuple[InternalBioNerDataset, InternalBioNerDataset, InternalBioNerDataset]

@@ -3238,7 +3238,7 @@

Versions

-static parse_corpus(corpus_dir)View on GitHub#
+static parse_corpus(corpus_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -3250,12 +3250,12 @@

Versions

-class flair.datasets.biomedical.HUNER_CHEMICAL_CRAFT_V4(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_CHEMICAL_CRAFT_V4(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the CRAFT corpus containing (only) chemical annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -3265,7 +3265,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -3277,12 +3277,12 @@

Versions

-class flair.datasets.biomedical.HUNER_GENE_CRAFT_V4(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE_CRAFT_V4(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the CRAFT corpus containing (only) gene annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -3292,7 +3292,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -3304,12 +3304,12 @@

Versions

-class flair.datasets.biomedical.HUNER_SPECIES_CRAFT_V4(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_SPECIES_CRAFT_V4(*args, **kwargs)View on GitHub#

Bases: HunerDataset

HUNER version of the CRAFT corpus containing (only) species annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -3319,7 +3319,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -3331,11 +3331,11 @@

Versions

-class flair.datasets.biomedical.HUNER_CHEMICAL_BIONLP2013_CG(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_CHEMICAL_BIONLP2013_CG(*args, **kwargs)View on GitHub#

Bases: HunerDataset

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -3345,7 +3345,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -3357,11 +3357,11 @@

Versions

-class flair.datasets.biomedical.HUNER_DISEASE_BIONLP2013_CG(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_DISEASE_BIONLP2013_CG(*args, **kwargs)View on GitHub#

Bases: HunerDataset

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -3371,7 +3371,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -3383,11 +3383,11 @@

Versions

-class flair.datasets.biomedical.HUNER_GENE_BIONLP2013_CG(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE_BIONLP2013_CG(*args, **kwargs)View on GitHub#

Bases: HunerDataset

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -3397,7 +3397,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -3409,11 +3409,11 @@

Versions

-class flair.datasets.biomedical.HUNER_SPECIES_BIONLP2013_CG(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_SPECIES_BIONLP2013_CG(*args, **kwargs)View on GitHub#

Bases: HunerDataset

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -3423,7 +3423,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -3435,14 +3435,14 @@

Versions

-class flair.datasets.biomedical.AZDZ(base_path=None, in_memory=True, tokenizer=None)View on GitHub#
+class flair.datasets.biomedical.AZDZ(base_path=None, in_memory=True, tokenizer=None)View on GitHub#

Bases: ColumnCorpus

Arizona Disease Corpus from the Biomedical Informatics Lab at Arizona State University.

For further information see: http://diego.asu.edu/index.php

-__init__(base_path=None, in_memory=True, tokenizer=None)View on GitHub#
+__init__(base_path=None, in_memory=True, tokenizer=None)View on GitHub#

Initializes the Arizona Disease Corpus.

Parameters:
@@ -3458,7 +3458,7 @@

Versions

-classmethod download_corpus(data_dir)View on GitHub#
+classmethod download_corpus(data_dir)View on GitHub#
Return type:

Path

@@ -3468,7 +3468,7 @@

Versions

-static parse_corpus(input_file)View on GitHub#
+static parse_corpus(input_file)View on GitHub#
Return type:

InternalBioNerDataset

@@ -3480,7 +3480,7 @@

Versions

-class flair.datasets.biomedical.PDR(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+class flair.datasets.biomedical.PDR(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Bases: ColumnCorpus

Corpus of plant-disease relations.

For further information see Kim et al.: A corpus of plant-disease @@ -3493,7 +3493,7 @@

Versions

-__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#
+__init__(base_path=None, in_memory=True, sentence_splitter=None)View on GitHub#

Initialize the plant-disease relations Corpus.

Parameters:
@@ -3509,7 +3509,7 @@

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-classmethod download_corpus(data_dir)View on GitHub#
+classmethod download_corpus(data_dir)View on GitHub#
Return type:

Path

@@ -3521,12 +3521,12 @@

Versions

-class flair.datasets.biomedical.HUNER_DISEASE_PDR(*args, **kwargs)View on GitHub#
+class flair.datasets.biomedical.HUNER_DISEASE_PDR(*args, **kwargs)View on GitHub#

Bases: HunerDataset

PDR Dataset with only Disease annotations.

-static split_url()View on GitHub#
+static split_url()View on GitHub#
Return type:

str

@@ -3536,7 +3536,7 @@

Versions

-to_internal(data_dir)View on GitHub#
+to_internal(data_dir)View on GitHub#
Return type:

InternalBioNerDataset

@@ -3548,49 +3548,49 @@

Versions

-class flair.datasets.biomedical.HunerMultiCorpus(entity_type, sentence_splitter=None)View on GitHub#
+class flair.datasets.biomedical.HunerMultiCorpus(entity_type, sentence_splitter=None)View on GitHub#

Bases: MultiCorpus

Base class to build the union of all HUNER data sets considering a particular entity type.

-class flair.datasets.biomedical.HUNER_CELL_LINE(sentence_splitter=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_CELL_LINE(sentence_splitter=None)View on GitHub#

Bases: HunerMultiCorpus

Union of all HUNER cell line data sets.

-class flair.datasets.biomedical.HUNER_CHEMICAL(sentence_splitter=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_CHEMICAL(sentence_splitter=None)View on GitHub#

Bases: HunerMultiCorpus

Union of all HUNER chemical data sets.

-class flair.datasets.biomedical.HUNER_DISEASE(sentence_splitter=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_DISEASE(sentence_splitter=None)View on GitHub#

Bases: HunerMultiCorpus

Union of all HUNER disease data sets.

-class flair.datasets.biomedical.HUNER_GENE(sentence_splitter=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE(sentence_splitter=None)View on GitHub#

Bases: HunerMultiCorpus

Union of all HUNER gene data sets.

-class flair.datasets.biomedical.HUNER_SPECIES(sentence_splitter=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_SPECIES(sentence_splitter=None)View on GitHub#

Bases: HunerMultiCorpus

Union of all HUNER species data sets.

-class flair.datasets.biomedical.BIGBIO_NER_CORPUS(dataset_name, base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.BIGBIO_NER_CORPUS(dataset_name, base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: ColumnCorpus

This class implements an adapter to data sets implemented in the BigBio framework.

see bigscience-workshop/biomedical

@@ -3599,7 +3599,7 @@

Versions

data sets by using the bigbio_kb schema.

-__init__(dataset_name, base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+__init__(dataset_name, base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Initialize the BigBio Corpus.

Parameters:
@@ -3619,7 +3619,7 @@

Versions

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -3631,7 +3631,7 @@

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-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -3642,7 +3642,7 @@

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-to_internal_dataset(dataset, split)View on GitHub#
+to_internal_dataset(dataset, split)View on GitHub#

Converts a dataset given in hugging datasets format to our internal corpus representation.

Return type:
@@ -3653,7 +3653,7 @@

Versions

-bin_search_passage(passages, low, high, entity)View on GitHub#
+bin_search_passage(passages, low, high, entity)View on GitHub#

Helper methods to find the passage to a given entity mention inclusive offset.

The implementation uses binary search to find the passage in the ordered sequence passages.

@@ -3662,11 +3662,11 @@

Versions

-class flair.datasets.biomedical.HUNER_GENE_NLM_GENE(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE_NLM_GENE(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -3678,7 +3678,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -3691,11 +3691,11 @@

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-class flair.datasets.biomedical.HUNER_GENE_DRUGPROT(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE_DRUGPROT(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -3707,7 +3707,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -3720,11 +3720,11 @@

Versions

-class flair.datasets.biomedical.HUNER_CHEMICAL_DRUGPROT(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_CHEMICAL_DRUGPROT(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -3736,7 +3736,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -3749,11 +3749,11 @@

Versions

-class flair.datasets.biomedical.HUNER_GENE_BIORED(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE_BIORED(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -3765,7 +3765,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -3778,11 +3778,11 @@

Versions

-class flair.datasets.biomedical.HUNER_CHEMICAL_BIORED(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_CHEMICAL_BIORED(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -3794,7 +3794,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -3807,11 +3807,11 @@

Versions

-class flair.datasets.biomedical.HUNER_DISEASE_BIORED(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_DISEASE_BIORED(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -3823,7 +3823,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -3836,11 +3836,11 @@

Versions

-class flair.datasets.biomedical.HUNER_SPECIES_BIORED(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_SPECIES_BIORED(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -3852,7 +3852,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -3865,11 +3865,11 @@

Versions

-class flair.datasets.biomedical.HUNER_CELL_LINE_BIORED(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_CELL_LINE_BIORED(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -3881,7 +3881,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -3894,11 +3894,11 @@

Versions

-class flair.datasets.biomedical.HUNER_GENE_CPI(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE_CPI(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -3910,7 +3910,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -3923,11 +3923,11 @@

Versions

-class flair.datasets.biomedical.HUNER_CHEMICAL_CPI(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_CHEMICAL_CPI(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -3939,7 +3939,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -3952,11 +3952,11 @@

Versions

-class flair.datasets.biomedical.HUNER_GENE_BIONLP_ST_2013_PC(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE_BIONLP_ST_2013_PC(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -3968,7 +3968,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -3981,11 +3981,11 @@

Versions

-class flair.datasets.biomedical.HUNER_CHEMICAL_BIONLP_ST_2013_PC(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_CHEMICAL_BIONLP_ST_2013_PC(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -3997,7 +3997,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -4010,11 +4010,11 @@

Versions

-class flair.datasets.biomedical.HUNER_GENE_BIONLP_ST_2013_GE(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE_BIONLP_ST_2013_GE(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -4026,7 +4026,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -4039,11 +4039,11 @@

Versions

-class flair.datasets.biomedical.HUNER_GENE_BIONLP_ST_2011_GE(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE_BIONLP_ST_2011_GE(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -4055,7 +4055,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -4068,11 +4068,11 @@

Versions

-class flair.datasets.biomedical.HUNER_GENE_BIONLP_ST_2011_ID(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE_BIONLP_ST_2011_ID(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -4084,7 +4084,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -4097,11 +4097,11 @@

Versions

-class flair.datasets.biomedical.HUNER_CHEMICAL_BIONLP_ST_2011_ID(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_CHEMICAL_BIONLP_ST_2011_ID(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -4113,7 +4113,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -4126,11 +4126,11 @@

Versions

-class flair.datasets.biomedical.HUNER_SPECIES_BIONLP_ST_2011_ID(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_SPECIES_BIONLP_ST_2011_ID(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -4142,7 +4142,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -4155,11 +4155,11 @@

Versions

-class flair.datasets.biomedical.HUNER_GENE_BIONLP_ST_2011_REL(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE_BIONLP_ST_2011_REL(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -4171,7 +4171,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -4184,11 +4184,11 @@

Versions

-class flair.datasets.biomedical.HUNER_GENE_BIONLP_ST_2011_EPI(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE_BIONLP_ST_2011_EPI(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -4200,7 +4200,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -4213,11 +4213,11 @@

Versions

-class flair.datasets.biomedical.HUNER_SPECIES_BIONLP_ST_2019_BB(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_SPECIES_BIONLP_ST_2019_BB(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -4229,7 +4229,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -4242,11 +4242,11 @@

Versions

-class flair.datasets.biomedical.HUNER_GENE_BIOID(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE_BIOID(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -4258,7 +4258,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -4271,11 +4271,11 @@

Versions

-class flair.datasets.biomedical.HUNER_CHEMICAL_BIOID(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_CHEMICAL_BIOID(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -4287,7 +4287,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -4300,11 +4300,11 @@

Versions

-class flair.datasets.biomedical.HUNER_SPECIES_BIOID(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_SPECIES_BIOID(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -4316,7 +4316,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -4329,11 +4329,11 @@

Versions

-class flair.datasets.biomedical.HUNER_CELL_LINE_BIOID(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_CELL_LINE_BIOID(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -4345,7 +4345,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -4358,11 +4358,11 @@

Versions

-class flair.datasets.biomedical.HUNER_GENE_GNORMPLUS(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE_GNORMPLUS(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -4374,7 +4374,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -4387,11 +4387,11 @@

Versions

-class flair.datasets.biomedical.HUNER_GENE_PROGENE(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE_PROGENE(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -4403,7 +4403,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -4416,11 +4416,11 @@

Versions

-class flair.datasets.biomedical.HUNER_CHEMICAL_NLM_CHEM(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_CHEMICAL_NLM_CHEM(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -4432,7 +4432,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -4445,11 +4445,11 @@

Versions

-class flair.datasets.biomedical.HUNER_GENE_SETH_CORPUS(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE_SETH_CORPUS(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -4461,7 +4461,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -4474,11 +4474,11 @@

Versions

-class flair.datasets.biomedical.HUNER_GENE_TMVAR_V3(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_GENE_TMVAR_V3(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -4490,7 +4490,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -4503,11 +4503,11 @@

Versions

-class flair.datasets.biomedical.HUNER_SPECIES_TMVAR_V3(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_SPECIES_TMVAR_V3(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -4519,7 +4519,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
@@ -4532,11 +4532,11 @@

Versions

-class flair.datasets.biomedical.HUNER_CELL_LINE_TMVAR_V3(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#
+class flair.datasets.biomedical.HUNER_CELL_LINE_TMVAR_V3(base_path=None, in_memory=True, sentence_splitter=None, train_split_name=None, dev_split_name=None, test_split_name=None)View on GitHub#

Bases: BIGBIO_NER_CORPUS

-get_entity_type_mapping()View on GitHub#
+get_entity_type_mapping()View on GitHub#

Return the mapping of entity type given in the dataset to canonical types.

Note, if a entity type is not present in the map it is discarded.

@@ -4548,7 +4548,7 @@

Versions

-build_corpus_directory_name(dataset_name)View on GitHub#
+build_corpus_directory_name(dataset_name)View on GitHub#

Builds the directory name for the given data set.

Return type:
diff --git a/doc-page/api/datasets/document_classification.html b/master/api/datasets/document_classification.html similarity index 90% rename from doc-page/api/datasets/document_classification.html rename to master/api/datasets/document_classification.html index 32c76275d7..7c6d16a016 100644 --- a/doc-page/api/datasets/document_classification.html +++ b/master/api/datasets/document_classification.html @@ -424,7 +424,7 @@

Versions

@@ -492,12 +492,12 @@

Versions

flair.datasets.document_classification#

-class flair.datasets.document_classification.ClassificationCorpus(data_folder, label_type='class', train_file=None, test_file=None, dev_file=None, truncate_to_max_tokens=-1, truncate_to_max_chars=-1, filter_if_longer_than=-1, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', label_name_map=None, skip_labels=None, allow_examples_without_labels=False, sample_missing_splits=True, encoding='utf-8')View on GitHub#
+class flair.datasets.document_classification.ClassificationCorpus(data_folder, label_type='class', train_file=None, test_file=None, dev_file=None, truncate_to_max_tokens=-1, truncate_to_max_chars=-1, filter_if_longer_than=-1, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', label_name_map=None, skip_labels=None, allow_examples_without_labels=False, sample_missing_splits=True, encoding='utf-8')View on GitHub#

Bases: Corpus

A classification corpus from FastText-formatted text files.

-__init__(data_folder, label_type='class', train_file=None, test_file=None, dev_file=None, truncate_to_max_tokens=-1, truncate_to_max_chars=-1, filter_if_longer_than=-1, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', label_name_map=None, skip_labels=None, allow_examples_without_labels=False, sample_missing_splits=True, encoding='utf-8')View on GitHub#
+__init__(data_folder, label_type='class', train_file=None, test_file=None, dev_file=None, truncate_to_max_tokens=-1, truncate_to_max_chars=-1, filter_if_longer_than=-1, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', label_name_map=None, skip_labels=None, allow_examples_without_labels=False, sample_missing_splits=True, encoding='utf-8')View on GitHub#

Instantiates a Corpus from text classification-formatted task data.

Parameters:
@@ -524,12 +524,12 @@

Versions

-class flair.datasets.document_classification.ClassificationDataset(path_to_file, label_type, truncate_to_max_tokens=-1, truncate_to_max_chars=-1, filter_if_longer_than=-1, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', label_name_map=None, skip_labels=None, allow_examples_without_labels=False, encoding='utf-8')View on GitHub#
+class flair.datasets.document_classification.ClassificationDataset(path_to_file, label_type, truncate_to_max_tokens=-1, truncate_to_max_chars=-1, filter_if_longer_than=-1, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', label_name_map=None, skip_labels=None, allow_examples_without_labels=False, encoding='utf-8')View on GitHub#

Bases: FlairDataset

Dataset for classification instantiated from a single FastText-formatted file.

-__init__(path_to_file, label_type, truncate_to_max_tokens=-1, truncate_to_max_chars=-1, filter_if_longer_than=-1, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', label_name_map=None, skip_labels=None, allow_examples_without_labels=False, encoding='utf-8')View on GitHub#
+__init__(path_to_file, label_type, truncate_to_max_tokens=-1, truncate_to_max_chars=-1, filter_if_longer_than=-1, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', label_name_map=None, skip_labels=None, allow_examples_without_labels=False, encoding='utf-8')View on GitHub#

Reads a data file for text classification.

The file should contain one document/text per line. The line should have the following format: @@ -563,7 +563,7 @@

Versions

-is_in_memory()View on GitHub#
+is_in_memory()View on GitHub#
Return type:

bool

@@ -575,12 +575,12 @@

Versions

-class flair.datasets.document_classification.CSVClassificationCorpus(data_folder, column_name_map, label_type, name='csv_corpus', train_file=None, test_file=None, dev_file=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, tokenizer=<flair.tokenization.SegtokTokenizer object>, in_memory=False, skip_header=False, encoding='utf-8', no_class_label=None, sample_missing_splits=True, **fmtparams)View on GitHub#
+class flair.datasets.document_classification.CSVClassificationCorpus(data_folder, column_name_map, label_type, name='csv_corpus', train_file=None, test_file=None, dev_file=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, tokenizer=<flair.tokenization.SegtokTokenizer object>, in_memory=False, skip_header=False, encoding='utf-8', no_class_label=None, sample_missing_splits=True, **fmtparams)View on GitHub#

Bases: Corpus

Classification corpus instantiated from CSV data files.

-__init__(data_folder, column_name_map, label_type, name='csv_corpus', train_file=None, test_file=None, dev_file=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, tokenizer=<flair.tokenization.SegtokTokenizer object>, in_memory=False, skip_header=False, encoding='utf-8', no_class_label=None, sample_missing_splits=True, **fmtparams)View on GitHub#
+__init__(data_folder, column_name_map, label_type, name='csv_corpus', train_file=None, test_file=None, dev_file=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, tokenizer=<flair.tokenization.SegtokTokenizer object>, in_memory=False, skip_header=False, encoding='utf-8', no_class_label=None, sample_missing_splits=True, **fmtparams)View on GitHub#

Instantiates a Corpus for text classification from CSV column formatted data.

Parameters:
@@ -610,12 +610,12 @@

Versions

-class flair.datasets.document_classification.CSVClassificationDataset(path_to_file, column_name_map, label_type, max_tokens_per_doc=-1, max_chars_per_doc=-1, tokenizer=<flair.tokenization.SegtokTokenizer object>, in_memory=True, skip_header=False, encoding='utf-8', no_class_label=None, **fmtparams)View on GitHub#
+class flair.datasets.document_classification.CSVClassificationDataset(path_to_file, column_name_map, label_type, max_tokens_per_doc=-1, max_chars_per_doc=-1, tokenizer=<flair.tokenization.SegtokTokenizer object>, in_memory=True, skip_header=False, encoding='utf-8', no_class_label=None, **fmtparams)View on GitHub#

Bases: FlairDataset

Dataset for text classification from CSV column formatted data.

-__init__(path_to_file, column_name_map, label_type, max_tokens_per_doc=-1, max_chars_per_doc=-1, tokenizer=<flair.tokenization.SegtokTokenizer object>, in_memory=True, skip_header=False, encoding='utf-8', no_class_label=None, **fmtparams)View on GitHub#
+__init__(path_to_file, column_name_map, label_type, max_tokens_per_doc=-1, max_chars_per_doc=-1, tokenizer=<flair.tokenization.SegtokTokenizer object>, in_memory=True, skip_header=False, encoding='utf-8', no_class_label=None, **fmtparams)View on GitHub#

Instantiates a Dataset for text classification from CSV column formatted data.

Parameters:
@@ -640,7 +640,7 @@

Versions

-is_in_memory()View on GitHub#
+is_in_memory()View on GitHub#
Return type:

bool

@@ -652,7 +652,7 @@

Versions

-class flair.datasets.document_classification.AMAZON_REVIEWS(split_max=30000, label_name_map={'1.0': 'NEGATIVE', '2.0': 'NEGATIVE', '3.0': 'NEGATIVE', '4.0': 'POSITIVE', '5.0': 'POSITIVE'}, skip_labels=['3.0', '4.0'], fraction_of_5_star_reviews=10, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', **corpusargs)View on GitHub#
+class flair.datasets.document_classification.AMAZON_REVIEWS(split_max=30000, label_name_map={'1.0': 'NEGATIVE', '2.0': 'NEGATIVE', '3.0': 'NEGATIVE', '4.0': 'POSITIVE', '5.0': 'POSITIVE'}, skip_labels=['3.0', '4.0'], fraction_of_5_star_reviews=10, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', **corpusargs)View on GitHub#

Bases: ClassificationCorpus

A very large corpus of Amazon reviews with positivity ratings.

Corpus is downloaded from and documented at @@ -661,7 +661,7 @@

Versions

reviews.

-__init__(split_max=30000, label_name_map={'1.0': 'NEGATIVE', '2.0': 'NEGATIVE', '3.0': 'NEGATIVE', '4.0': 'POSITIVE', '5.0': 'POSITIVE'}, skip_labels=['3.0', '4.0'], fraction_of_5_star_reviews=10, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', **corpusargs)View on GitHub#
+__init__(split_max=30000, label_name_map={'1.0': 'NEGATIVE', '2.0': 'NEGATIVE', '3.0': 'NEGATIVE', '4.0': 'POSITIVE', '5.0': 'POSITIVE'}, skip_labels=['3.0', '4.0'], fraction_of_5_star_reviews=10, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', **corpusargs)View on GitHub#

Constructs corpus object.

Split_max indicates how many data points from each of the 28 splits are used, so set this higher or lower to increase/decrease corpus size. @@ -683,20 +683,20 @@

Versions

-download_and_prepare_amazon_product_file(data_folder, part_name, max_data_points=None, fraction_of_5_star_reviews=None)View on GitHub#
+download_and_prepare_amazon_product_file(data_folder, part_name, max_data_points=None, fraction_of_5_star_reviews=None)View on GitHub#
-class flair.datasets.document_classification.IMDB(base_path=None, rebalance_corpus=True, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', **corpusargs)View on GitHub#
+class flair.datasets.document_classification.IMDB(base_path=None, rebalance_corpus=True, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', **corpusargs)View on GitHub#

Bases: ClassificationCorpus

Corpus of IMDB movie reviews labeled by sentiment (POSITIVE, NEGATIVE).

Downloaded from and documented at http://ai.stanford.edu/~amaas/data/sentiment/.

-__init__(base_path=None, rebalance_corpus=True, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', **corpusargs)View on GitHub#
+__init__(base_path=None, rebalance_corpus=True, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', **corpusargs)View on GitHub#

Initialize the IMDB move review sentiment corpus.

Parameters:
@@ -719,7 +719,7 @@

Versions

-class flair.datasets.document_classification.NEWSGROUPS(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', **corpusargs)View on GitHub#
+class flair.datasets.document_classification.NEWSGROUPS(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', **corpusargs)View on GitHub#

Bases: ClassificationCorpus

20 newsgroups corpus, classifying news items into one of 20 categories.

Downloaded from http://qwone.com/~jason/20Newsgroups

@@ -729,7 +729,7 @@

Versions

-__init__(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', **corpusargs)View on GitHub#
+__init__(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', **corpusargs)View on GitHub#

Instantiates 20 newsgroups corpus.

Parameters:
@@ -748,14 +748,14 @@

Versions

-class flair.datasets.document_classification.STACKOVERFLOW(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', **corpusargs)View on GitHub#
+class flair.datasets.document_classification.STACKOVERFLOW(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', **corpusargs)View on GitHub#

Bases: ClassificationCorpus

Stackoverflow corpus classifying questions into one of 20 labels.

The data will be downloaded from “jacoxu/StackOverflow”,

Each data point is a question.

-__init__(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', **corpusargs)View on GitHub#
+__init__(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', **corpusargs)View on GitHub#

Instantiates Stackoverflow corpus.

Parameters:
@@ -774,7 +774,7 @@

Versions

-class flair.datasets.document_classification.SENTIMENT_140(label_name_map=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', **corpusargs)View on GitHub#
+class flair.datasets.document_classification.SENTIMENT_140(label_name_map=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', **corpusargs)View on GitHub#

Bases: ClassificationCorpus

Twitter sentiment corpus.

See http://help.sentiment140.com/for-students

@@ -782,7 +782,7 @@

Versions

sentiments in test data (POSITIVE, NEGATIVE, NEUTRAL).

-__init__(label_name_map=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', **corpusargs)View on GitHub#
+__init__(label_name_map=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', **corpusargs)View on GitHub#

Instantiates twitter sentiment corpus.

Parameters:
@@ -801,13 +801,13 @@

Versions

-class flair.datasets.document_classification.SENTEVAL_CR(tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#
+class flair.datasets.document_classification.SENTEVAL_CR(tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#

Bases: ClassificationCorpus

The customer reviews dataset of SentEval, classified into NEGATIVE or POSITIVE sentiment.

see facebookresearch/SentEval

-__init__(tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#
+__init__(tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#

Instantiates SentEval customer reviews dataset.

Parameters:
@@ -824,13 +824,13 @@

Versions

-class flair.datasets.document_classification.SENTEVAL_MR(tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#
+class flair.datasets.document_classification.SENTEVAL_MR(tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#

Bases: ClassificationCorpus

The movie reviews dataset of SentEval, classified into NEGATIVE or POSITIVE sentiment.

see facebookresearch/SentEval

-__init__(tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#
+__init__(tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#

Instantiates SentEval movie reviews dataset.

Parameters:
@@ -847,13 +847,13 @@

Versions

-class flair.datasets.document_classification.SENTEVAL_SUBJ(tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#
+class flair.datasets.document_classification.SENTEVAL_SUBJ(tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#

Bases: ClassificationCorpus

The subjectivity dataset of SentEval, classified into SUBJECTIVE or OBJECTIVE sentiment.

see facebookresearch/SentEval

-__init__(tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#
+__init__(tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#

Instantiates SentEval subjectivity dataset.

Parameters:
@@ -870,13 +870,13 @@

Versions

-class flair.datasets.document_classification.SENTEVAL_MPQA(tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#
+class flair.datasets.document_classification.SENTEVAL_MPQA(tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#

Bases: ClassificationCorpus

The opinion-polarity dataset of SentEval, classified into NEGATIVE or POSITIVE polarity.

see facebookresearch/SentEval

-__init__(tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#
+__init__(tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#

Instantiates SentEval opinion polarity dataset.

Parameters:
@@ -893,13 +893,13 @@

Versions

-class flair.datasets.document_classification.SENTEVAL_SST_BINARY(tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#
+class flair.datasets.document_classification.SENTEVAL_SST_BINARY(tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#

Bases: ClassificationCorpus

The Stanford sentiment treebank dataset of SentEval, classified into NEGATIVE or POSITIVE sentiment.

see facebookresearch/SentEval

-__init__(tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#
+__init__(tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#

Instantiates SentEval Stanford sentiment treebank dataset.

Parameters:
@@ -916,13 +916,13 @@

Versions

-class flair.datasets.document_classification.SENTEVAL_SST_GRANULAR(tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#
+class flair.datasets.document_classification.SENTEVAL_SST_GRANULAR(tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#

Bases: ClassificationCorpus

The Stanford sentiment treebank dataset of SentEval, classified into 5 sentiment classes.

see facebookresearch/SentEval

-__init__(tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#
+__init__(tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#

Instantiates SentEval Stanford sentiment treebank dataset.

Parameters:
@@ -939,7 +939,7 @@

Versions

-class flair.datasets.document_classification.GLUE_COLA(label_type='acceptability', base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, **corpusargs)View on GitHub#
+class flair.datasets.document_classification.GLUE_COLA(label_type='acceptability', base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, **corpusargs)View on GitHub#

Bases: ClassificationCorpus

Corpus of Linguistic Acceptability from GLUE benchmark.

see https://gluebenchmark.com/tasks

@@ -948,7 +948,7 @@

Versions

the unlabeled test data for Glue evaluation.

-__init__(label_type='acceptability', base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, **corpusargs)View on GitHub#
+__init__(label_type='acceptability', base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, **corpusargs)View on GitHub#

Instantiates CoLA dataset.

Parameters:
@@ -963,7 +963,7 @@

Versions

-tsv_from_eval_dataset(folder_path)View on GitHub#
+tsv_from_eval_dataset(folder_path)View on GitHub#

Create eval prediction file.

This function creates a tsv file with predictions of the eval_dataset (after calling classifier.predict(corpus.eval_dataset, label_name=’acceptability’)). The resulting file @@ -974,7 +974,7 @@

Versions

-class flair.datasets.document_classification.GLUE_SST2(label_type='sentiment', base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, tokenizer=<flair.tokenization.SegtokTokenizer object>, in_memory=False, encoding='utf-8', sample_missing_splits=True, **datasetargs)View on GitHub#
+class flair.datasets.document_classification.GLUE_SST2(label_type='sentiment', base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, tokenizer=<flair.tokenization.SegtokTokenizer object>, in_memory=False, encoding='utf-8', sample_missing_splits=True, **datasetargs)View on GitHub#

Bases: CSVClassificationCorpus

@@ -983,7 +983,7 @@

Versions

-tsv_from_eval_dataset(folder_path)View on GitHub#
+tsv_from_eval_dataset(folder_path)View on GitHub#

Create eval prediction file.

@@ -991,13 +991,13 @@

Versions

-class flair.datasets.document_classification.GO_EMOTIONS(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', **corpusargs)View on GitHub#
+class flair.datasets.document_classification.GO_EMOTIONS(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', **corpusargs)View on GitHub#

Bases: ClassificationCorpus

GoEmotions dataset containing 58k Reddit comments labeled with 27 emotion categories.

see google-research/google-research

-__init__(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', **corpusargs)View on GitHub#
+__init__(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='partial', **corpusargs)View on GitHub#

Initializes the GoEmotions corpus.

Parameters:
@@ -1016,12 +1016,12 @@

Versions

-class flair.datasets.document_classification.TREC_50(base_path=None, tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#
+class flair.datasets.document_classification.TREC_50(base_path=None, tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#

Bases: ClassificationCorpus

The TREC Question Classification Corpus, classifying questions into 50 fine-grained answer types.

-__init__(base_path=None, tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#
+__init__(base_path=None, tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#

Instantiates TREC Question Classification Corpus with 6 classes.

Parameters:
@@ -1039,12 +1039,12 @@

Versions

-class flair.datasets.document_classification.TREC_6(base_path=None, tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#
+class flair.datasets.document_classification.TREC_6(base_path=None, tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#

Bases: ClassificationCorpus

The TREC Question Classification Corpus, classifying questions into 6 coarse-grained answer types.

-__init__(base_path=None, tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#
+__init__(base_path=None, tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='full', **corpusargs)View on GitHub#

Instantiates TREC Question Classification Corpus with 6 classes.

Parameters:
@@ -1062,12 +1062,12 @@

Versions

-class flair.datasets.document_classification.YAHOO_ANSWERS(base_path=None, tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='partial', **corpusargs)View on GitHub#
+class flair.datasets.document_classification.YAHOO_ANSWERS(base_path=None, tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='partial', **corpusargs)View on GitHub#

Bases: ClassificationCorpus

The YAHOO Question Classification Corpus, classifying questions into 10 coarse-grained answer types.

-__init__(base_path=None, tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='partial', **corpusargs)View on GitHub#
+__init__(base_path=None, tokenizer=<flair.tokenization.SpaceTokenizer object>, memory_mode='partial', **corpusargs)View on GitHub#

Instantiates YAHOO Question Classification Corpus with 10 classes.

Parameters:
@@ -1085,7 +1085,7 @@

Versions

-class flair.datasets.document_classification.GERMEVAL_2018_OFFENSIVE_LANGUAGE(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='full', fine_grained_classes=False, **corpusargs)View on GitHub#
+class flair.datasets.document_classification.GERMEVAL_2018_OFFENSIVE_LANGUAGE(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='full', fine_grained_classes=False, **corpusargs)View on GitHub#

Bases: ClassificationCorpus

GermEval 2018 corpus for identification of offensive language.

Classifying German tweets into 2 coarse-grained categories OFFENSIVE @@ -1093,7 +1093,7 @@

Versions

OTHER.

-__init__(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='full', fine_grained_classes=False, **corpusargs)View on GitHub#
+__init__(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, memory_mode='full', fine_grained_classes=False, **corpusargs)View on GitHub#

Instantiates GermEval 2018 Offensive Language Classification Corpus.

Parameters:
@@ -1112,13 +1112,13 @@

Versions

-class flair.datasets.document_classification.COMMUNICATIVE_FUNCTIONS(base_path=None, memory_mode='full', tokenizer=<flair.tokenization.SpaceTokenizer object>, **corpusargs)View on GitHub#
+class flair.datasets.document_classification.COMMUNICATIVE_FUNCTIONS(base_path=None, memory_mode='full', tokenizer=<flair.tokenization.SpaceTokenizer object>, **corpusargs)View on GitHub#

Bases: ClassificationCorpus

The Communicative Functions Classification Corpus.

Classifying sentences from scientific papers into 39 communicative functions.

-__init__(base_path=None, memory_mode='full', tokenizer=<flair.tokenization.SpaceTokenizer object>, **corpusargs)View on GitHub#
+__init__(base_path=None, memory_mode='full', tokenizer=<flair.tokenization.SpaceTokenizer object>, **corpusargs)View on GitHub#

Instantiates Communicative Functions Classification Corpus with 39 classes.

Parameters:
@@ -1136,13 +1136,13 @@

Versions

-class flair.datasets.document_classification.WASSA_ANGER(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, **corpusargs)View on GitHub#
+class flair.datasets.document_classification.WASSA_ANGER(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, **corpusargs)View on GitHub#

Bases: ClassificationCorpus

WASSA-2017 anger emotion-intensity corpus.

see https://saifmohammad.com/WebPages/EmotionIntensity-SharedTask.html.

-__init__(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, **corpusargs)View on GitHub#
+__init__(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, **corpusargs)View on GitHub#

Instantiates WASSA-2017 anger emotion-intensity corpus.

Parameters:
@@ -1159,13 +1159,13 @@

Versions

-class flair.datasets.document_classification.WASSA_FEAR(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, **corpusargs)View on GitHub#
+class flair.datasets.document_classification.WASSA_FEAR(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, **corpusargs)View on GitHub#

Bases: ClassificationCorpus

WASSA-2017 fear emotion-intensity corpus.

see https://saifmohammad.com/WebPages/EmotionIntensity-SharedTask.html.

-__init__(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, **corpusargs)View on GitHub#
+__init__(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, **corpusargs)View on GitHub#

Instantiates WASSA-2017 fear emotion-intensity corpus.

Parameters:
@@ -1182,13 +1182,13 @@

Versions

-class flair.datasets.document_classification.WASSA_JOY(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, **corpusargs)View on GitHub#
+class flair.datasets.document_classification.WASSA_JOY(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, **corpusargs)View on GitHub#

Bases: ClassificationCorpus

WASSA-2017 joy emotion-intensity dataset corpus.

see https://saifmohammad.com/WebPages/EmotionIntensity-SharedTask.html

-__init__(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, **corpusargs)View on GitHub#
+__init__(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, **corpusargs)View on GitHub#

Instantiates WASSA-2017 joy emotion-intensity corpus.

Parameters:
@@ -1205,13 +1205,13 @@

Versions

-class flair.datasets.document_classification.WASSA_SADNESS(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, **corpusargs)View on GitHub#
+class flair.datasets.document_classification.WASSA_SADNESS(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, **corpusargs)View on GitHub#

Bases: ClassificationCorpus

WASSA-2017 sadness emotion-intensity corpus.

see https://saifmohammad.com/WebPages/EmotionIntensity-SharedTask.html.

-__init__(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, **corpusargs)View on GitHub#
+__init__(base_path=None, tokenizer=<flair.tokenization.SegtokTokenizer object>, **corpusargs)View on GitHub#

Instantiates WASSA-2017 sadness emotion-intensity dataset.

Parameters:
diff --git a/doc-page/api/datasets/entity_linking.html b/master/api/datasets/entity_linking.html similarity index 91% rename from doc-page/api/datasets/entity_linking.html rename to master/api/datasets/entity_linking.html index 1935a8cf54..b1245219a2 100644 --- a/doc-page/api/datasets/entity_linking.html +++ b/master/api/datasets/entity_linking.html @@ -424,7 +424,7 @@

Versions

@@ -492,11 +492,11 @@

Versions

flair.datasets.entity_linking#

-class flair.datasets.entity_linking.ZELDA(base_path=None, in_memory=False, column_format={0: 'text', 2: 'nel'}, **corpusargs)View on GitHub#
+class flair.datasets.entity_linking.ZELDA(base_path=None, in_memory=False, column_format={0: 'text', 2: 'nel'}, **corpusargs)View on GitHub#

Bases: MultiFileColumnCorpus

-__init__(base_path=None, in_memory=False, column_format={0: 'text', 2: 'nel'}, **corpusargs)View on GitHub#
+__init__(base_path=None, in_memory=False, column_format={0: 'text', 2: 'nel'}, **corpusargs)View on GitHub#

Initialize ZELDA Entity Linking corpus.

introduced in “ZELDA: A Comprehensive Benchmark for Supervised Entity Disambiguation” (Milich and Akbik, 2023). When calling the constructor for the first time, the dataset gets automatically downloaded.

@@ -516,11 +516,11 @@

Versions

-class flair.datasets.entity_linking.NEL_ENGLISH_AQUAINT(base_path=None, in_memory=True, agreement_threshold=0.5, sentence_splitter=<flair.splitter.SegtokSentenceSplitter object>, **corpusargs)View on GitHub#
+class flair.datasets.entity_linking.NEL_ENGLISH_AQUAINT(base_path=None, in_memory=True, agreement_threshold=0.5, sentence_splitter=<flair.splitter.SegtokSentenceSplitter object>, **corpusargs)View on GitHub#

Bases: ColumnCorpus

-__init__(base_path=None, in_memory=True, agreement_threshold=0.5, sentence_splitter=<flair.splitter.SegtokSentenceSplitter object>, **corpusargs)View on GitHub#
+__init__(base_path=None, in_memory=True, agreement_threshold=0.5, sentence_splitter=<flair.splitter.SegtokSentenceSplitter object>, **corpusargs)View on GitHub#

Initialize Aquaint Entity Linking corpus.

introduced in: D. Milne and I. H. Witten. Learning to link with wikipedia https://www.cms.waikato.ac.nz/~ihw/papers/08-DNM-IHW-LearningToLinkWithWikipedia.pdf . If you call the constructor the first @@ -544,11 +544,11 @@

Versions

-class flair.datasets.entity_linking.NEL_GERMAN_HIPE(base_path=None, in_memory=True, wiki_language='dewiki', **corpusargs)View on GitHub#
+class flair.datasets.entity_linking.NEL_GERMAN_HIPE(base_path=None, in_memory=True, wiki_language='dewiki', **corpusargs)View on GitHub#

Bases: ColumnCorpus

-__init__(base_path=None, in_memory=True, wiki_language='dewiki', **corpusargs)View on GitHub#
+__init__(base_path=None, in_memory=True, wiki_language='dewiki', **corpusargs)View on GitHub#

Initialize a sentence-segmented version of the HIPE entity linking corpus for historical German.

see description of HIPE at https://impresso.github.io/CLEF-HIPE-2020/.

This version was segmented by @stefan-it and is hosted at stefan-it/clef-hipe. @@ -570,11 +570,11 @@

Versions

-class flair.datasets.entity_linking.NEL_ENGLISH_AIDA(base_path=None, in_memory=True, use_ids_and_check_existence=False, **corpusargs)View on GitHub#
+class flair.datasets.entity_linking.NEL_ENGLISH_AIDA(base_path=None, in_memory=True, use_ids_and_check_existence=False, **corpusargs)View on GitHub#

Bases: ColumnCorpus

-__init__(base_path=None, in_memory=True, use_ids_and_check_existence=False, **corpusargs)View on GitHub#
+__init__(base_path=None, in_memory=True, use_ids_and_check_existence=False, **corpusargs)View on GitHub#

Initialize AIDA CoNLL-YAGO Entity Linking corpus.

The corpus got introduced here https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/ambiverse-nlu/aida/downloads. License: https://creativecommons.org/licenses/by-sa/3.0/deed.en_US @@ -596,11 +596,11 @@

Versions

-class flair.datasets.entity_linking.NEL_ENGLISH_IITB(base_path=None, in_memory=True, ignore_disagreements=False, sentence_splitter=<flair.splitter.SegtokSentenceSplitter object>, **corpusargs)View on GitHub#
+class flair.datasets.entity_linking.NEL_ENGLISH_IITB(base_path=None, in_memory=True, ignore_disagreements=False, sentence_splitter=<flair.splitter.SegtokSentenceSplitter object>, **corpusargs)View on GitHub#

Bases: ColumnCorpus

-__init__(base_path=None, in_memory=True, ignore_disagreements=False, sentence_splitter=<flair.splitter.SegtokSentenceSplitter object>, **corpusargs)View on GitHub#
+__init__(base_path=None, in_memory=True, ignore_disagreements=False, sentence_splitter=<flair.splitter.SegtokSentenceSplitter object>, **corpusargs)View on GitHub#

Initialize ITTB Entity Linking corpus.

The corpus got introduced in “Collective Annotation of Wikipedia Entities in Web Text” Sayali Kulkarni, Amit Singh, Ganesh Ramakrishnan, and Soumen Chakrabarti.

If you call the constructor the first time the dataset gets automatically downloaded.

@@ -621,11 +621,11 @@

Versions

-class flair.datasets.entity_linking.NEL_ENGLISH_TWEEKI(base_path=None, in_memory=True, **corpusargs)View on GitHub#
+class flair.datasets.entity_linking.NEL_ENGLISH_TWEEKI(base_path=None, in_memory=True, **corpusargs)View on GitHub#

Bases: ColumnCorpus

-__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#
+__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#

Initialize Tweeki Entity Linking corpus.

The dataset got introduced in “Tweeki: Linking Named Entities on Twitter to a Knowledge Graph” Harandizadeh, @@ -648,11 +648,11 @@

Versions

-class flair.datasets.entity_linking.NEL_ENGLISH_REDDIT(base_path=None, in_memory=True, **corpusargs)View on GitHub#
+class flair.datasets.entity_linking.NEL_ENGLISH_REDDIT(base_path=None, in_memory=True, **corpusargs)View on GitHub#

Bases: ColumnCorpus

-__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#
+__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#

Initialize the Reddit Entity Linking corpus containing gold annotations only.

see https://arxiv.org/abs/2101.01228v2

The first time you call this constructor it will automatically download the dataset.

@@ -669,7 +669,7 @@

Versions

-_text_to_cols(sentence, links, outfile)View on GitHub#
+_text_to_cols(sentence, links, outfile)View on GitHub#

Convert a tokenized sentence into column format.

Parameters:
@@ -684,7 +684,7 @@

Versions

-_fill_annot_array(annot_array, key, post_flag)View on GitHub#
+_fill_annot_array(annot_array, key, post_flag)View on GitHub#

Fills the array containing information about the entity mention annotations.

Parameters:
@@ -702,7 +702,7 @@

Versions

-_fill_curr_comment(fix_flag)View on GitHub#
+_fill_curr_comment(fix_flag)View on GitHub#

Extends the string containing the current comment thread, which is passed to _text_to_cols method, when the comments are parsed.

Parameters:
@@ -715,7 +715,7 @@

Versions

-flair.datasets.entity_linking.from_ufsac_to_tsv(xml_file, conll_file, datasetname, encoding='utf8', cut_multisense=True)View on GitHub#
+flair.datasets.entity_linking.from_ufsac_to_tsv(xml_file, conll_file, datasetname, encoding='utf8', cut_multisense=True)View on GitHub#

Function that converts the UFSAC format into tab separated column format in a new file.

Parameters:
@@ -734,7 +734,7 @@

Versions

-flair.datasets.entity_linking.determine_tsv_file(filename, data_folder, cut_multisense=True)View on GitHub#
+flair.datasets.entity_linking.determine_tsv_file(filename, data_folder, cut_multisense=True)View on GitHub#

Checks if the converted .tsv file already exists and if not, creates it.

Parameters:
@@ -757,11 +757,11 @@

Versions

-class flair.datasets.entity_linking.WSD_UFSAC(filenames=['masc', 'semcor'], base_path=None, in_memory=True, cut_multisense=True, columns={0: 'text', 3: 'sense'}, banned_sentences=None, sample_missing_splits_in_multicorpus=True, sample_missing_splits_in_each_corpus=True, use_raganato_ALL_as_test_data=False, name='multicorpus')View on GitHub#
+class flair.datasets.entity_linking.WSD_UFSAC(filenames=['masc', 'semcor'], base_path=None, in_memory=True, cut_multisense=True, columns={0: 'text', 3: 'sense'}, banned_sentences=None, sample_missing_splits_in_multicorpus=True, sample_missing_splits_in_each_corpus=True, use_raganato_ALL_as_test_data=False, name='multicorpus')View on GitHub#

Bases: MultiCorpus

-__init__(filenames=['masc', 'semcor'], base_path=None, in_memory=True, cut_multisense=True, columns={0: 'text', 3: 'sense'}, banned_sentences=None, sample_missing_splits_in_multicorpus=True, sample_missing_splits_in_each_corpus=True, use_raganato_ALL_as_test_data=False, name='multicorpus')View on GitHub#
+__init__(filenames=['masc', 'semcor'], base_path=None, in_memory=True, cut_multisense=True, columns={0: 'text', 3: 'sense'}, banned_sentences=None, sample_missing_splits_in_multicorpus=True, sample_missing_splits_in_each_corpus=True, use_raganato_ALL_as_test_data=False, name='multicorpus')View on GitHub#

Initialize a custom corpus with any Word Sense Disambiguation (WSD) datasets in the UFSAC format.

see getalp/UFSAC.

@@ -791,11 +791,11 @@

Versions

-class flair.datasets.entity_linking.WSD_RAGANATO_ALL(base_path=None, in_memory=True, columns={0: 'text', 3: 'sense'}, label_name_map=None, banned_sentences=None, sample_missing_splits=True, cut_multisense=True)View on GitHub#
+class flair.datasets.entity_linking.WSD_RAGANATO_ALL(base_path=None, in_memory=True, columns={0: 'text', 3: 'sense'}, label_name_map=None, banned_sentences=None, sample_missing_splits=True, cut_multisense=True)View on GitHub#

Bases: ColumnCorpus

-__init__(base_path=None, in_memory=True, columns={0: 'text', 3: 'sense'}, label_name_map=None, banned_sentences=None, sample_missing_splits=True, cut_multisense=True)View on GitHub#
+__init__(base_path=None, in_memory=True, columns={0: 'text', 3: 'sense'}, label_name_map=None, banned_sentences=None, sample_missing_splits=True, cut_multisense=True)View on GitHub#

Initialize ragnato_ALL (concatenation of all SensEval and SemEval all-words tasks) provided in UFSAC.

see getalp/UFSAC When first initializing the corpus the whole UFSAC data is downloaded.

@@ -805,11 +805,11 @@

Versions

-class flair.datasets.entity_linking.WSD_SEMCOR(base_path=None, in_memory=True, columns={0: 'text', 3: 'sense'}, label_name_map=None, banned_sentences=None, sample_missing_splits=True, cut_multisense=True, use_raganato_ALL_as_test_data=False)View on GitHub#
+class flair.datasets.entity_linking.WSD_SEMCOR(base_path=None, in_memory=True, columns={0: 'text', 3: 'sense'}, label_name_map=None, banned_sentences=None, sample_missing_splits=True, cut_multisense=True, use_raganato_ALL_as_test_data=False)View on GitHub#

Bases: ColumnCorpus

-__init__(base_path=None, in_memory=True, columns={0: 'text', 3: 'sense'}, label_name_map=None, banned_sentences=None, sample_missing_splits=True, cut_multisense=True, use_raganato_ALL_as_test_data=False)View on GitHub#
+__init__(base_path=None, in_memory=True, columns={0: 'text', 3: 'sense'}, label_name_map=None, banned_sentences=None, sample_missing_splits=True, cut_multisense=True, use_raganato_ALL_as_test_data=False)View on GitHub#

Initialize SemCor provided in UFSAC.

see getalp/UFSAC When first initializing the corpus the whole UFSAC data is downloaded.

@@ -819,11 +819,11 @@

Versions

-class flair.datasets.entity_linking.WSD_WORDNET_GLOSS_TAGGED(base_path=None, in_memory=True, columns={0: 'text', 3: 'sense'}, label_name_map=None, banned_sentences=None, sample_missing_splits=True, use_raganato_ALL_as_test_data=False)View on GitHub#
+class flair.datasets.entity_linking.WSD_WORDNET_GLOSS_TAGGED(base_path=None, in_memory=True, columns={0: 'text', 3: 'sense'}, label_name_map=None, banned_sentences=None, sample_missing_splits=True, use_raganato_ALL_as_test_data=False)View on GitHub#

Bases: ColumnCorpus

-__init__(base_path=None, in_memory=True, columns={0: 'text', 3: 'sense'}, label_name_map=None, banned_sentences=None, sample_missing_splits=True, use_raganato_ALL_as_test_data=False)View on GitHub#
+__init__(base_path=None, in_memory=True, columns={0: 'text', 3: 'sense'}, label_name_map=None, banned_sentences=None, sample_missing_splits=True, use_raganato_ALL_as_test_data=False)View on GitHub#

Initialize Princeton WordNet Gloss Corpus provided in UFSAC.

see getalp/UFSAC When first initializing the corpus the whole UFSAC data is downloaded.

@@ -833,11 +833,11 @@

Versions

-class flair.datasets.entity_linking.WSD_MASC(base_path=None, in_memory=True, columns={0: 'text', 3: 'sense'}, label_name_map=None, banned_sentences=None, sample_missing_splits=True, cut_multisense=True, use_raganato_ALL_as_test_data=False)View on GitHub#
+class flair.datasets.entity_linking.WSD_MASC(base_path=None, in_memory=True, columns={0: 'text', 3: 'sense'}, label_name_map=None, banned_sentences=None, sample_missing_splits=True, cut_multisense=True, use_raganato_ALL_as_test_data=False)View on GitHub#

Bases: ColumnCorpus

-__init__(base_path=None, in_memory=True, columns={0: 'text', 3: 'sense'}, label_name_map=None, banned_sentences=None, sample_missing_splits=True, cut_multisense=True, use_raganato_ALL_as_test_data=False)View on GitHub#
+__init__(base_path=None, in_memory=True, columns={0: 'text', 3: 'sense'}, label_name_map=None, banned_sentences=None, sample_missing_splits=True, cut_multisense=True, use_raganato_ALL_as_test_data=False)View on GitHub#

Initialize MASC (Manually Annotated Sub-Corpus) provided in UFSAC.

see getalp/UFSAC When first initializing the corpus the whole UFSAC data is downloaded.

@@ -847,11 +847,11 @@

Versions

-class flair.datasets.entity_linking.WSD_OMSTI(base_path=None, in_memory=True, columns={0: 'text', 3: 'sense'}, label_name_map=None, banned_sentences=None, sample_missing_splits=True, cut_multisense=True, use_raganato_ALL_as_test_data=False)View on GitHub#
+class flair.datasets.entity_linking.WSD_OMSTI(base_path=None, in_memory=True, columns={0: 'text', 3: 'sense'}, label_name_map=None, banned_sentences=None, sample_missing_splits=True, cut_multisense=True, use_raganato_ALL_as_test_data=False)View on GitHub#

Bases: ColumnCorpus

-__init__(base_path=None, in_memory=True, columns={0: 'text', 3: 'sense'}, label_name_map=None, banned_sentences=None, sample_missing_splits=True, cut_multisense=True, use_raganato_ALL_as_test_data=False)View on GitHub#
+__init__(base_path=None, in_memory=True, columns={0: 'text', 3: 'sense'}, label_name_map=None, banned_sentences=None, sample_missing_splits=True, cut_multisense=True, use_raganato_ALL_as_test_data=False)View on GitHub#

Initialize OMSTI (One Million Sense-Tagged Instances) provided in UFSAC.

see getalp/UFSAC When first initializing the corpus the whole UFSAC data is downloaded.

@@ -861,11 +861,11 @@

Versions

-class flair.datasets.entity_linking.WSD_TRAINOMATIC(base_path=None, in_memory=True, columns={0: 'text', 3: 'sense'}, label_name_map=None, banned_sentences=None, sample_missing_splits=True, use_raganato_ALL_as_test_data=False)View on GitHub#
+class flair.datasets.entity_linking.WSD_TRAINOMATIC(base_path=None, in_memory=True, columns={0: 'text', 3: 'sense'}, label_name_map=None, banned_sentences=None, sample_missing_splits=True, use_raganato_ALL_as_test_data=False)View on GitHub#

Bases: ColumnCorpus

-__init__(base_path=None, in_memory=True, columns={0: 'text', 3: 'sense'}, label_name_map=None, banned_sentences=None, sample_missing_splits=True, use_raganato_ALL_as_test_data=False)View on GitHub#
+__init__(base_path=None, in_memory=True, columns={0: 'text', 3: 'sense'}, label_name_map=None, banned_sentences=None, sample_missing_splits=True, use_raganato_ALL_as_test_data=False)View on GitHub#

Initialize Train-O-Matic provided in UFSAC.

see getalp/UFSAC When first initializing the corpus the whole UFSAC data is downloaded.

diff --git a/doc-page/api/datasets/ocr.html b/master/api/datasets/ocr.html similarity index 94% rename from doc-page/api/datasets/ocr.html rename to master/api/datasets/ocr.html index 0fa82d95fe..0e3183fec3 100644 --- a/doc-page/api/datasets/ocr.html +++ b/master/api/datasets/ocr.html @@ -424,7 +424,7 @@

Versions

@@ -492,11 +492,11 @@

Versions

flair.datasets.ocr#

-class flair.datasets.ocr.OcrJsonDataset(path_to_split_directory, label_type='ner', in_memory=True, encoding='utf-8', load_images=False, normalize_coords_to_thousands=True, label_name_map=None)View on GitHub#
+class flair.datasets.ocr.OcrJsonDataset(path_to_split_directory, label_type='ner', in_memory=True, encoding='utf-8', load_images=False, normalize_coords_to_thousands=True, label_name_map=None)View on GitHub#

Bases: FlairDataset

-__init__(path_to_split_directory, label_type='ner', in_memory=True, encoding='utf-8', load_images=False, normalize_coords_to_thousands=True, label_name_map=None)View on GitHub#
+__init__(path_to_split_directory, label_type='ner', in_memory=True, encoding='utf-8', load_images=False, normalize_coords_to_thousands=True, label_name_map=None)View on GitHub#

Instantiates a Dataset from a OCR-Json format.

The folder is structured with a “images” folder and a “tagged” folder. Those folders contain respectively .jpg and .json files with matching file name. @@ -523,7 +523,7 @@

Versions

-is_in_memory()View on GitHub#
+is_in_memory()View on GitHub#
Return type:

bool

@@ -535,11 +535,11 @@

Versions

-class flair.datasets.ocr.OcrCorpus(train_path=None, dev_path=None, test_path=None, encoding='utf-8', label_type='ner', in_memory=True, load_images=False, normalize_coords_to_thousands=True, label_name_map=None, **corpusargs)View on GitHub#
+class flair.datasets.ocr.OcrCorpus(train_path=None, dev_path=None, test_path=None, encoding='utf-8', label_type='ner', in_memory=True, load_images=False, normalize_coords_to_thousands=True, label_name_map=None, **corpusargs)View on GitHub#

Bases: Corpus

-__init__(train_path=None, dev_path=None, test_path=None, encoding='utf-8', label_type='ner', in_memory=True, load_images=False, normalize_coords_to_thousands=True, label_name_map=None, **corpusargs)View on GitHub#
+__init__(train_path=None, dev_path=None, test_path=None, encoding='utf-8', label_type='ner', in_memory=True, load_images=False, normalize_coords_to_thousands=True, label_name_map=None, **corpusargs)View on GitHub#

Instantiates a Corpus from a OCR-Json format.

Parameters:
@@ -566,11 +566,11 @@

Versions

-class flair.datasets.ocr.SROIE(base_path=None, encoding='utf-8', label_type='ner', in_memory=True, load_images=False, normalize_coords_to_thousands=True, label_name_map=None, **corpusargs)View on GitHub#
+class flair.datasets.ocr.SROIE(base_path=None, encoding='utf-8', label_type='ner', in_memory=True, load_images=False, normalize_coords_to_thousands=True, label_name_map=None, **corpusargs)View on GitHub#

Bases: OcrCorpus

-__init__(base_path=None, encoding='utf-8', label_type='ner', in_memory=True, load_images=False, normalize_coords_to_thousands=True, label_name_map=None, **corpusargs)View on GitHub#
+__init__(base_path=None, encoding='utf-8', label_type='ner', in_memory=True, load_images=False, normalize_coords_to_thousands=True, label_name_map=None, **corpusargs)View on GitHub#

Instantiates the SROIE corpus with perfect ocr boxes.

Parameters:
diff --git a/doc-page/api/datasets/relation_extraction.html b/master/api/datasets/relation_extraction.html similarity index 89% rename from doc-page/api/datasets/relation_extraction.html rename to master/api/datasets/relation_extraction.html index 4dea964c35..00fc457c52 100644 --- a/doc-page/api/datasets/relation_extraction.html +++ b/master/api/datasets/relation_extraction.html @@ -424,7 +424,7 @@

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@@ -492,7 +492,7 @@

Versions

flair.datasets.relation_extraction#

-flair.datasets.relation_extraction.convert_ptb_token(token)View on GitHub#
+flair.datasets.relation_extraction.convert_ptb_token(token)View on GitHub#

Convert PTB tokens to normal tokens.

Return type:
@@ -503,29 +503,29 @@

Versions

-class flair.datasets.relation_extraction.RE_ENGLISH_SEMEVAL2010(base_path=None, in_memory=True, augment_train=False, **corpusargs)View on GitHub#
+class flair.datasets.relation_extraction.RE_ENGLISH_SEMEVAL2010(base_path=None, in_memory=True, augment_train=False, **corpusargs)View on GitHub#

Bases: ColumnCorpus

-__init__(base_path=None, in_memory=True, augment_train=False, **corpusargs)View on GitHub#
+__init__(base_path=None, in_memory=True, augment_train=False, **corpusargs)View on GitHub#

SemEval-2010 Task 8 on Multi-Way Classification of Semantic Relations Between Pairs of Nominals.

see https://aclanthology.org/S10-1006.pdf

-extract_and_convert_to_conllu(data_file, data_folder, augment_train)View on GitHub#
+extract_and_convert_to_conllu(data_file, data_folder, augment_train)View on GitHub#
-class flair.datasets.relation_extraction.RE_ENGLISH_TACRED(base_path=None, in_memory=True, **corpusargs)View on GitHub#
+class flair.datasets.relation_extraction.RE_ENGLISH_TACRED(base_path=None, in_memory=True, **corpusargs)View on GitHub#

Bases: ColumnCorpus

-__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#
+__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#

TAC Relation Extraction Dataset.

with 41 relations from https://nlp.stanford.edu/projects/tacred/. Manual download is required for this dataset.

@@ -533,29 +533,29 @@

Versions

-extract_and_convert_to_conllu(data_file, data_folder)View on GitHub#
+extract_and_convert_to_conllu(data_file, data_folder)View on GitHub#
-class flair.datasets.relation_extraction.RE_ENGLISH_CONLL04(base_path=None, in_memory=True, **corpusargs)View on GitHub#
+class flair.datasets.relation_extraction.RE_ENGLISH_CONLL04(base_path=None, in_memory=True, **corpusargs)View on GitHub#

Bases: ColumnCorpus

-convert_to_conllu(source_data_folder, data_folder)View on GitHub#
+convert_to_conllu(source_data_folder, data_folder)View on GitHub#
-class flair.datasets.relation_extraction.RE_ENGLISH_DRUGPROT(base_path=None, in_memory=True, sentence_splitter=<flair.splitter.SegtokSentenceSplitter object>, **corpusargs)View on GitHub#
+class flair.datasets.relation_extraction.RE_ENGLISH_DRUGPROT(base_path=None, in_memory=True, sentence_splitter=<flair.splitter.SegtokSentenceSplitter object>, **corpusargs)View on GitHub#

Bases: ColumnCorpus

-__init__(base_path=None, in_memory=True, sentence_splitter=<flair.splitter.SegtokSentenceSplitter object>, **corpusargs)View on GitHub#
+__init__(base_path=None, in_memory=True, sentence_splitter=<flair.splitter.SegtokSentenceSplitter object>, **corpusargs)View on GitHub#

Initialize the DrugProt corpus.

Biocreative VII Track 1 from https://zenodo.org/record/5119892#.YSdSaVuxU5k/ on drug and chemical-protein interactions.

@@ -563,22 +563,22 @@

Versions

-extract_and_convert_to_conllu(data_file, data_folder)View on GitHub#
+extract_and_convert_to_conllu(data_file, data_folder)View on GitHub#
-char_spans_to_token_spans(char_spans, token_offsets)View on GitHub#
+char_spans_to_token_spans(char_spans, token_offsets)View on GitHub#
-has_overlap(a, b)View on GitHub#
+has_overlap(a, b)View on GitHub#
-drugprot_document_to_tokenlists(pmid, title_sentences, abstract_sentences, abstract_offset, entities, relations)View on GitHub#
+drugprot_document_to_tokenlists(pmid, title_sentences, abstract_sentences, abstract_offset, entities, relations)View on GitHub#
Return type:

List[TokenList]

diff --git a/doc-page/api/datasets/sequence_labeling.html b/master/api/datasets/sequence_labeling.html similarity index 89% rename from doc-page/api/datasets/sequence_labeling.html rename to master/api/datasets/sequence_labeling.html index fe95a9b095..fc0c73e45a 100644 --- a/doc-page/api/datasets/sequence_labeling.html +++ b/master/api/datasets/sequence_labeling.html @@ -424,7 +424,7 @@

Versions

@@ -492,12 +492,12 @@

Versions

flair.datasets.sequence_labeling#

-class flair.datasets.sequence_labeling.MultiFileJsonlCorpus(train_files=None, test_files=None, dev_files=None, encoding='utf-8', text_column_name='data', label_column_name='label', label_type='ner', **corpusargs)View on GitHub#
+class flair.datasets.sequence_labeling.MultiFileJsonlCorpus(train_files=None, test_files=None, dev_files=None, encoding='utf-8', text_column_name='data', label_column_name='label', label_type='ner', **corpusargs)View on GitHub#

Bases: Corpus

This class represents a generic Jsonl corpus with multiple train, dev, and test files.

-__init__(train_files=None, test_files=None, dev_files=None, encoding='utf-8', text_column_name='data', label_column_name='label', label_type='ner', **corpusargs)View on GitHub#
+__init__(train_files=None, test_files=None, dev_files=None, encoding='utf-8', text_column_name='data', label_column_name='label', label_type='ner', **corpusargs)View on GitHub#

Instantiates a MuliFileJsonlCorpus as, e.g., created with doccanos JSONL export.

Note that at least one of train_files, test_files, and dev_files must contain one path. Otherwise, the initialization will fail.

@@ -522,11 +522,11 @@

Versions

-class flair.datasets.sequence_labeling.JsonlCorpus(data_folder, train_file=None, test_file=None, dev_file=None, encoding='utf-8', text_column_name='data', label_column_name='label', label_type='ner', autofind_splits=True, name=None, **corpusargs)View on GitHub#
+class flair.datasets.sequence_labeling.JsonlCorpus(data_folder, train_file=None, test_file=None, dev_file=None, encoding='utf-8', text_column_name='data', label_column_name='label', label_type='ner', autofind_splits=True, name=None, **corpusargs)View on GitHub#

Bases: MultiFileJsonlCorpus

-__init__(data_folder, train_file=None, test_file=None, dev_file=None, encoding='utf-8', text_column_name='data', label_column_name='label', label_type='ner', autofind_splits=True, name=None, **corpusargs)View on GitHub#
+__init__(data_folder, train_file=None, test_file=None, dev_file=None, encoding='utf-8', text_column_name='data', label_column_name='label', label_type='ner', autofind_splits=True, name=None, **corpusargs)View on GitHub#

Instantiates a JsonlCorpus with one file per Dataset (train, dev, and test).

Parameters:
@@ -548,11 +548,11 @@

Versions

-class flair.datasets.sequence_labeling.JsonlDataset(path_to_jsonl_file, encoding='utf-8', text_column_name='data', label_column_name='label', label_type='ner')View on GitHub#
+class flair.datasets.sequence_labeling.JsonlDataset(path_to_jsonl_file, encoding='utf-8', text_column_name='data', label_column_name='label', label_type='ner')View on GitHub#

Bases: FlairDataset

-__init__(path_to_jsonl_file, encoding='utf-8', text_column_name='data', label_column_name='label', label_type='ner')View on GitHub#
+__init__(path_to_jsonl_file, encoding='utf-8', text_column_name='data', label_column_name='label', label_type='ner')View on GitHub#

Instantiates a JsonlDataset and converts all annotated char spans to token tags using the IOB scheme.

The expected file format is: { “<text_column_name>”: “<text>”, “label_column_name”: [[<start_char_index>, <end_char_index>, <label>],…] }

@@ -569,7 +569,7 @@

Versions

-_add_label_to_sentence(text, sentence, start, end, label)View on GitHub#
+_add_label_to_sentence(text, sentence, start, end, label)View on GitHub#

Adds a NE label to a given sentence.

Parameters:
@@ -589,7 +589,7 @@

Versions

-is_in_memory()View on GitHub#
+is_in_memory()View on GitHub#
Return type:

bool

@@ -601,11 +601,11 @@

Versions

-class flair.datasets.sequence_labeling.MultiFileColumnCorpus(column_format, train_files=None, test_files=None, dev_files=None, column_delimiter='\\\\s+', comment_symbol=None, encoding='utf-8', document_separator_token=None, skip_first_line=False, in_memory=True, label_name_map=None, banned_sentences=None, default_whitespace_after=1, **corpusargs)View on GitHub#
+class flair.datasets.sequence_labeling.MultiFileColumnCorpus(column_format, train_files=None, test_files=None, dev_files=None, column_delimiter='\\\\s+', comment_symbol=None, encoding='utf-8', document_separator_token=None, skip_first_line=False, in_memory=True, label_name_map=None, banned_sentences=None, default_whitespace_after=1, **corpusargs)View on GitHub#

Bases: Corpus

-__init__(column_format, train_files=None, test_files=None, dev_files=None, column_delimiter='\\\\s+', comment_symbol=None, encoding='utf-8', document_separator_token=None, skip_first_line=False, in_memory=True, label_name_map=None, banned_sentences=None, default_whitespace_after=1, **corpusargs)View on GitHub#
+__init__(column_format, train_files=None, test_files=None, dev_files=None, column_delimiter='\\\\s+', comment_symbol=None, encoding='utf-8', document_separator_token=None, skip_first_line=False, in_memory=True, label_name_map=None, banned_sentences=None, default_whitespace_after=1, **corpusargs)View on GitHub#

Instantiates a Corpus from CoNLL column-formatted task data such as CoNLL03 or CoNLL2000.

Parameters:
@@ -631,11 +631,11 @@

Versions

-class flair.datasets.sequence_labeling.ColumnCorpus(data_folder, column_format, train_file=None, test_file=None, dev_file=None, autofind_splits=True, name=None, comment_symbol='# ', **corpusargs)View on GitHub#
+class flair.datasets.sequence_labeling.ColumnCorpus(data_folder, column_format, train_file=None, test_file=None, dev_file=None, autofind_splits=True, name=None, comment_symbol='# ', **corpusargs)View on GitHub#

Bases: MultiFileColumnCorpus

-__init__(data_folder, column_format, train_file=None, test_file=None, dev_file=None, autofind_splits=True, name=None, comment_symbol='# ', **corpusargs)View on GitHub#
+__init__(data_folder, column_format, train_file=None, test_file=None, dev_file=None, autofind_splits=True, name=None, comment_symbol='# ', **corpusargs)View on GitHub#

Instantiates a Corpus from CoNLL column-formatted task data such as CoNLL03 or CoNLL2000.

Parameters:
@@ -661,7 +661,7 @@

Versions

-class flair.datasets.sequence_labeling.ColumnDataset(path_to_column_file, column_name_map, column_delimiter='\\\\s+', comment_symbol=None, banned_sentences=None, in_memory=True, document_separator_token=None, encoding='utf-8', skip_first_line=False, label_name_map=None, default_whitespace_after=1)View on GitHub#
+class flair.datasets.sequence_labeling.ColumnDataset(path_to_column_file, column_name_map, column_delimiter='\\\\s+', comment_symbol=None, banned_sentences=None, in_memory=True, document_separator_token=None, encoding='utf-8', skip_first_line=False, label_name_map=None, default_whitespace_after=1)View on GitHub#

Bases: FlairDataset

@@ -680,7 +680,7 @@

Versions

-__init__(path_to_column_file, column_name_map, column_delimiter='\\\\s+', comment_symbol=None, banned_sentences=None, in_memory=True, document_separator_token=None, encoding='utf-8', skip_first_line=False, label_name_map=None, default_whitespace_after=1)View on GitHub#
+__init__(path_to_column_file, column_name_map, column_delimiter='\\\\s+', comment_symbol=None, banned_sentences=None, in_memory=True, document_separator_token=None, encoding='utf-8', skip_first_line=False, label_name_map=None, default_whitespace_after=1)View on GitHub#

Instantiates a column dataset.

Parameters:
@@ -701,7 +701,7 @@

Versions

-is_in_memory()View on GitHub#
+is_in_memory()View on GitHub#
Return type:

bool

@@ -713,7 +713,7 @@

Versions

-class flair.datasets.sequence_labeling.ONTONOTES(base_path=None, version='v4', language='english', domain=None, in_memory=True, **corpusargs)View on GitHub#
+class flair.datasets.sequence_labeling.ONTONOTES(base_path=None, version='v4', language='english', domain=None, in_memory=True, **corpusargs)View on GitHub#

Bases: MultiFileColumnCorpus

@@ -722,7 +722,7 @@

Versions

-classmethod get_available_domains(base_path=None, version='v4', language='english', split='train')View on GitHub#
+classmethod get_available_domains(base_path=None, version='v4', language='english', split='train')View on GitHub#
Return type:

List[str]

@@ -732,7 +732,7 @@

Versions

-classmethod _process_coref_span_annotations_for_word(label, word_index, clusters, coref_stacks)View on GitHub#
+classmethod _process_coref_span_annotations_for_word(label, word_index, clusters, coref_stacks)View on GitHub#

For a given coref label, add it to a currently open span(s), complete a span(s) or ignore it, if it is outside of all spans.

This method mutates the clusters and coref_stacks dictionaries.

@@ -752,7 +752,7 @@

Versions

-classmethod dataset_document_iterator(file_path)View on GitHub#
+classmethod dataset_document_iterator(file_path)View on GitHub#

An iterator over CONLL formatted files which yields documents, regardless of the number of document annotations in a particular file.

This is useful for conll data which has been preprocessed, such as the preprocessing which takes place for the 2012 CONLL @@ -766,7 +766,7 @@

Versions

-classmethod sentence_iterator(file_path)View on GitHub#
+classmethod sentence_iterator(file_path)View on GitHub#

An iterator over the sentences in an individual CONLL formatted file.

Return type:
@@ -779,11 +779,11 @@

Versions

-class flair.datasets.sequence_labeling.CONLL_03(base_path=None, column_format={0: 'text', 1: 'pos', 3: 'ner'}, in_memory=True, **corpusargs)View on GitHub#
+class flair.datasets.sequence_labeling.CONLL_03(base_path=None, column_format={0: 'text', 1: 'pos', 3: 'ner'}, in_memory=True, **corpusargs)View on GitHub#

Bases: ColumnCorpus

-__init__(base_path=None, column_format={0: 'text', 1: 'pos', 3: 'ner'}, in_memory=True, **corpusargs)View on GitHub#
+__init__(base_path=None, column_format={0: 'text', 1: 'pos', 3: 'ner'}, in_memory=True, **corpusargs)View on GitHub#

Initialize the CoNLL-03 corpus.

This is only possible if you’ve manually downloaded it to your machine. Obtain the corpus from https://www.clips.uantwerpen.be/conll2003/ner/ and put the eng.testa, .testb, .train @@ -802,11 +802,11 @@

Versions

-class flair.datasets.sequence_labeling.CONLL_03_GERMAN(base_path=None, in_memory=True, **corpusargs)View on GitHub#
+class flair.datasets.sequence_labeling.CONLL_03_GERMAN(base_path=None, in_memory=True, **corpusargs)View on GitHub#

Bases: ColumnCorpus

-__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#
+__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#

Initialize the CoNLL-03 corpus for German.

This is only possible if you’ve manually downloaded it to your machine. Obtain the corpus from https://www.clips.uantwerpen.be/conll2003/ner/ and put the respective files in a folder called @@ -824,11 +824,11 @@

Versions

-class flair.datasets.sequence_labeling.CONLL_03_DUTCH(base_path=None, in_memory=True, **corpusargs)View on GitHub#
+class flair.datasets.sequence_labeling.CONLL_03_DUTCH(base_path=None, in_memory=True, **corpusargs)View on GitHub#

Bases: ColumnCorpus

-__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#
+__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#

Initialize the CoNLL-03 corpus for Dutch.

The first time you call this constructor it will automatically download the dataset.

@@ -845,11 +845,11 @@

Versions

-class flair.datasets.sequence_labeling.CONLL_03_SPANISH(base_path=None, in_memory=True, **corpusargs)View on GitHub#
+class flair.datasets.sequence_labeling.CONLL_03_SPANISH(base_path=None, in_memory=True, **corpusargs)View on GitHub#

Bases: ColumnCorpus

-__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#
+__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#

Initialize the CoNLL-03 corpus for Spanish.

The first time you call this constructor it will automatically download the dataset.

@@ -866,11 +866,11 @@

Versions

-class flair.datasets.sequence_labeling.CONLL_2000(base_path=None, in_memory=True, **corpusargs)View on GitHub#
+class flair.datasets.sequence_labeling.CONLL_2000(base_path=None, in_memory=True, **corpusargs)View on GitHub#

Bases: ColumnCorpus

-__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#
+__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#

Initialize the CoNLL-2000 corpus for English chunking.

The first time you call this constructor it will automatically download the dataset. :type base_path: Union[str, Path, None] @@ -884,29 +884,29 @@

Versions

-class flair.datasets.sequence_labeling.WNUT_17(base_path=None, in_memory=True, **corpusargs)View on GitHub#
+class flair.datasets.sequence_labeling.WNUT_17(base_path=None, in_memory=True, **corpusargs)View on GitHub#

Bases: ColumnCorpus

-class flair.datasets.sequence_labeling.FEWNERD(setting='supervised', **corpusargs)View on GitHub#
+class flair.datasets.sequence_labeling.FEWNERD(setting='supervised', **corpusargs)View on GitHub#

Bases: ColumnCorpus

-class flair.datasets.sequence_labeling.BIOSCOPE(base_path=None, in_memory=True, **corpusargs)View on GitHub#
+class flair.datasets.sequence_labeling.BIOSCOPE(base_path=None, in_memory=True, **corpusargs)View on GitHub#

Bases: ColumnCorpus

-class flair.datasets.sequence_labeling.NER_ARABIC_ANER(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#
+class flair.datasets.sequence_labeling.NER_ARABIC_ANER(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#

Bases: ColumnCorpus

-__init__(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#
+__init__(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#

Initialize a preprocessed version of the Arabic Named Entity Recognition Corpus (ANERCorp).

The dataset is downloaded from http://curtis.ml.cmu.edu/w/courses/index.php/ANERcorp Column order is swapped @@ -926,11 +926,11 @@

Versions

-class flair.datasets.sequence_labeling.NER_ARABIC_AQMAR(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#
+class flair.datasets.sequence_labeling.NER_ARABIC_AQMAR(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#

Bases: ColumnCorpus

-__init__(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#
+__init__(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#

Initialize a preprocessed and modified version of the American and Qatari Modeling of Arabic (AQMAR) dataset.

The dataset is downloaded from http://www.cs.cmu.edu/~ark/AQMAR/

    @@ -956,17 +956,17 @@

    Versions

    -class flair.datasets.sequence_labeling.NER_BASQUE(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_BASQUE(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -class flair.datasets.sequence_labeling.NER_CHINESE_WEIBO(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_CHINESE_WEIBO(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -__init__(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#
    +__init__(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#

    Initialize the WEIBO_NER corpus.

    The first time you call this constructor it will automatically download the dataset.

    @@ -984,17 +984,17 @@

    Versions

    -class flair.datasets.sequence_labeling.NER_DANISH_DANE(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_DANISH_DANE(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -class flair.datasets.sequence_labeling.NER_ENGLISH_MOVIE_SIMPLE(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_ENGLISH_MOVIE_SIMPLE(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Initialize the eng corpus of the MIT Movie Corpus.

    The first time you call this constructor it will automatically download the dataset.

    @@ -1011,11 +1011,11 @@

    Versions

    -class flair.datasets.sequence_labeling.NER_ENGLISH_MOVIE_COMPLEX(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_ENGLISH_MOVIE_COMPLEX(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Initialize the trivia10k13 corpus of the MIT Movie Corpus.

    The first time you call this constructor it will automatically download the dataset.

    @@ -1032,11 +1032,11 @@

    Versions

    -class flair.datasets.sequence_labeling.NER_ENGLISH_SEC_FILLINGS(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_ENGLISH_SEC_FILLINGS(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Initialize corpus of SEC-fillings annotated with English NER tags.

    See paper “Domain Adaption of Named Entity Recognition to Support Credit Risk Assessment” by Alvarado et al, 2015: https://aclanthology.org/U15-1010/

    @@ -1053,11 +1053,11 @@

    Versions

    -class flair.datasets.sequence_labeling.NER_ENGLISH_RESTAURANT(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_ENGLISH_RESTAURANT(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Initialize the MIT Restaurant corpus.

    The corpus will be downloaded from https://groups.csail.mit.edu/sls/downloads/restaurant/. The first time you call this constructor it will automatically download the dataset. @@ -1074,11 +1074,11 @@

    Versions

    -class flair.datasets.sequence_labeling.NER_ENGLISH_STACKOVERFLOW(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_ENGLISH_STACKOVERFLOW(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Initialize the STACKOVERFLOW_NER corpus.

    The first time you call this constructor it will automatically download the dataset.

    @@ -1096,11 +1096,11 @@

    Versions

    -class flair.datasets.sequence_labeling.NER_ENGLISH_TWITTER(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_ENGLISH_TWITTER(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Initialize the twitter_ner corpus.

    The corpus will be downoaded from https://raw.githubusercontent.com/aritter/twitter_nlp/master/data/annotated/ner.txt. The first time you call this constructor it will automatically download the dataset.

    @@ -1119,11 +1119,11 @@

    Versions

    -class flair.datasets.sequence_labeling.NER_ENGLISH_PERSON(base_path=None, in_memory=True)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_ENGLISH_PERSON(base_path=None, in_memory=True)View on GitHub#

    Bases: ColumnCorpus

    -__init__(base_path=None, in_memory=True)View on GitHub#
    +__init__(base_path=None, in_memory=True)View on GitHub#

    Initialize the PERSON_NER corpus for person names.

    The first time you call this constructor it will automatically download the dataset.

    @@ -1140,11 +1140,11 @@

    Versions

    -class flair.datasets.sequence_labeling.NER_ENGLISH_WEBPAGES(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_ENGLISH_WEBPAGES(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Initialize the WEBPAGES_NER corpus.

    The corpus was introduced in the paper “Design Challenges and Misconceptions in Named Entity Recognition” by Ratinov and Roth (2009): https://aclanthology.org/W09-1119/. The first time you call this constructor it will automatically download the dataset.

    @@ -1163,11 +1163,11 @@

    Versions

    -class flair.datasets.sequence_labeling.NER_ENGLISH_WNUT_2020(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_ENGLISH_WNUT_2020(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -__init__(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#
    +__init__(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#

    Initialize the WNUT_2020_NER corpus.

    The first time you call this constructor it will automatically download the dataset.

    @@ -1185,11 +1185,11 @@

    Versions

    -class flair.datasets.sequence_labeling.NER_ENGLISH_WIKIGOLD(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_ENGLISH_WIKIGOLD(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -__init__(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#
    +__init__(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#

    Initialize the wikigold corpus.

    The first time you call this constructor it will automatically download the dataset.

    @@ -1207,23 +1207,23 @@

    Versions

    -class flair.datasets.sequence_labeling.NER_FINNISH(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_FINNISH(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -class flair.datasets.sequence_labeling.NER_GERMAN_BIOFID(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_GERMAN_BIOFID(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -class flair.datasets.sequence_labeling.NER_GERMAN_EUROPARL(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_GERMAN_EUROPARL(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Initialize the EUROPARL_NER_GERMAN corpus.

    The first time you call this constructor it will automatically download the dataset.

    @@ -1239,7 +1239,7 @@

    Versions

    -_add_IOB_tags(data_file, encoding='utf8', ner_column=1)View on GitHub#
    +_add_IOB_tags(data_file, encoding='utf8', ner_column=1)View on GitHub#

    Function that adds IOB tags if only chunk names are provided.

    e.g. words are tagged PER instead of B-PER or I-PER. Replaces ‘0’ with ‘O’ as the no-chunk tag since ColumnCorpus expects the letter ‘O’. Additionally it removes lines with no tags in the data file and can also @@ -1259,11 +1259,11 @@

    Versions

    +class flair.datasets.sequence_labeling.NER_GERMAN_LEGAL(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Initialize the LER_GERMAN (Legal Entity Recognition) corpus.

    The first time you call this constructor it will automatically download the dataset. :type base_path: Union[str, Path, None] @@ -1277,11 +1277,11 @@

    Versions

    -class flair.datasets.sequence_labeling.NER_GERMAN_GERMEVAL(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_GERMAN_GERMEVAL(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Initialize the GermEval NER corpus for German.

    This is only possible if you’ve manually downloaded it to your machine. Obtain the corpus from https://sites.google.com/site/germeval2014ner/data and put it into some folder. @@ -1296,11 +1296,11 @@

    Versions

    -class flair.datasets.sequence_labeling.NER_GERMAN_POLITICS(base_path=None, column_delimiter='\\\\s+', in_memory=True, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_GERMAN_POLITICS(base_path=None, column_delimiter='\\\\s+', in_memory=True, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -__init__(base_path=None, column_delimiter='\\\\s+', in_memory=True, **corpusargs)View on GitHub#
    +__init__(base_path=None, column_delimiter='\\\\s+', in_memory=True, **corpusargs)View on GitHub#

    Initialize corpus with Named Entity Model for German Politics (NEMGP).

    data from https://www.thomas-zastrow.de/nlp/.

    The first time you call this constructor it will automatically download the @@ -1318,11 +1318,11 @@

    Versions

    -class flair.datasets.sequence_labeling.NER_HUNGARIAN(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_HUNGARIAN(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -__init__(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#
    +__init__(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#

    Initialize the NER Business corpus for Hungarian.

    The first time you call this constructor it will automatically download the dataset. :type base_path: Union[str, Path, None] @@ -1339,11 +1339,11 @@

    Versions

    -class flair.datasets.sequence_labeling.NER_ICELANDIC(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_ICELANDIC(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Initialize the ICELANDIC_NER corpus.

    The first time you call this constructor it will automatically download the dataset. :type base_path: Union[str, Path, None] @@ -1359,11 +1359,11 @@

    Versions

    -class flair.datasets.sequence_labeling.NER_JAPANESE(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_JAPANESE(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Initialize the Hironsan/IOB2 corpus for Japanese.

    The first time you call this constructor it will automatically download the dataset.

    @@ -1380,11 +1380,11 @@

    Versions

    -class flair.datasets.sequence_labeling.NER_MASAKHANE(languages='luo', version='v2', base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_MASAKHANE(languages='luo', version='v2', base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Bases: MultiCorpus

    -__init__(languages='luo', version='v2', base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +__init__(languages='luo', version='v2', base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Initialize the Masakhane corpus available on masakhane-io/masakhane-ner.

    It consists of ten African languages. Pass a language code or a list of language codes to initialize the corpus with the languages you require. If you pass “all”, all languages will be initialized. @@ -1401,11 +1401,11 @@

    Versions

    -class flair.datasets.sequence_labeling.NER_MULTI_CONER(task='multi', base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_MULTI_CONER(task='multi', base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Bases: MultiFileColumnCorpus

    -__init__(task='multi', base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +__init__(task='multi', base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Download and Initialize the MultiCoNer corpus.

    Parameters:
    @@ -1422,11 +1422,11 @@

    Versions

    -class flair.datasets.sequence_labeling.NER_MULTI_CONER_V2(task='multi', base_path=None, in_memory=True, use_dev_as_test=True, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_MULTI_CONER_V2(task='multi', base_path=None, in_memory=True, use_dev_as_test=True, **corpusargs)View on GitHub#

    Bases: MultiFileColumnCorpus

    -__init__(task='multi', base_path=None, in_memory=True, use_dev_as_test=True, **corpusargs)View on GitHub#
    +__init__(task='multi', base_path=None, in_memory=True, use_dev_as_test=True, **corpusargs)View on GitHub#

    Initialize the MultiCoNer V2 corpus for the Semeval2023 workshop.

    This is only possible if you’ve applied and downloaded it to your machine. Apply for the corpus from here https://multiconer.github.io/dataset and unpack the .zip file’s content into @@ -1448,11 +1448,11 @@

    Versions

    -class flair.datasets.sequence_labeling.NER_MULTI_WIKIANN(languages='en', base_path=None, in_memory=False, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_MULTI_WIKIANN(languages='en', base_path=None, in_memory=False, **corpusargs)View on GitHub#

    Bases: MultiCorpus

    -__init__(languages='en', base_path=None, in_memory=False, **corpusargs)View on GitHub#
    +__init__(languages='en', base_path=None, in_memory=False, **corpusargs)View on GitHub#

    Initialize the WkiAnn corpus for cross-lingual NER consisting of datasets from 282 languages that exist in Wikipedia.

    See https://elisa-ie.github.io/wikiann/ for details and for the languages and their respective abbreveations, i.e. “en” for english. (license: https://opendatacommons.org/licenses/by/)

    @@ -1477,11 +1477,11 @@

    Versions

    -class flair.datasets.sequence_labeling.NER_MULTI_XTREME(languages='en', base_path=None, in_memory=False, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_MULTI_XTREME(languages='en', base_path=None, in_memory=False, **corpusargs)View on GitHub#

    Bases: MultiCorpus

    -__init__(languages='en', base_path=None, in_memory=False, **corpusargs)View on GitHub#
    +__init__(languages='en', base_path=None, in_memory=False, **corpusargs)View on GitHub#

    Xtreme corpus for cross-lingual NER consisting of datasets of a total of 40 languages.

    The data comes from the google research work XTREME google-research/xtreme. The data is derived from the wikiann dataset https://elisa-ie.github.io/wikiann/ (license: https://opendatacommons.org/licenses/by/)

    @@ -1500,17 +1500,17 @@

    Versions

    -class flair.datasets.sequence_labeling.NER_MULTI_WIKINER(languages='en', base_path=None, in_memory=False, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_MULTI_WIKINER(languages='en', base_path=None, in_memory=False, **corpusargs)View on GitHub#

    Bases: MultiCorpus

    -class flair.datasets.sequence_labeling.NER_SWEDISH(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_SWEDISH(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Initialize the NER_SWEDISH corpus for Swedish.

    The first time you call this constructor it will automatically download the dataset. :type base_path: Union[str, Path, None] @@ -1523,7 +1523,7 @@

    Versions

    -_add_IOB2_tags(data_file, encoding='utf8')View on GitHub#
    +_add_IOB2_tags(data_file, encoding='utf8')View on GitHub#

    Function that adds IOB2 tags if only chunk names are provided.

    e.g. words are tagged PER instead of B-PER or I-PER. Replaces ‘0’ with ‘O’ as the no-chunk tag since ColumnCorpus expects the letter ‘O’. Additionally it removes lines with no tags in the data file and can also @@ -1542,11 +1542,11 @@

    Versions

    -class flair.datasets.sequence_labeling.NER_TURKU(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_TURKU(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Initialize the Finnish TurkuNER corpus.

    The first time you call this constructor it will automatically download the dataset. :type base_path: Union[str, Path, None] @@ -1562,11 +1562,11 @@

    Versions

    -class flair.datasets.sequence_labeling.NER_UKRAINIAN(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_UKRAINIAN(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +__init__(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Initialize the Ukrainian NER corpus from lang-uk project.

    The first time you call this constructor it will automatically download the dataset. :type base_path: Union[str, Path, None] @@ -1582,29 +1582,29 @@

    Versions

    -class flair.datasets.sequence_labeling.KEYPHRASE_SEMEVAL2017(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.KEYPHRASE_SEMEVAL2017(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -class flair.datasets.sequence_labeling.KEYPHRASE_INSPEC(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.KEYPHRASE_INSPEC(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -class flair.datasets.sequence_labeling.KEYPHRASE_SEMEVAL2010(base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.KEYPHRASE_SEMEVAL2010(base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -class flair.datasets.sequence_labeling.UP_CHINESE(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.UP_CHINESE(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -__init__(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#
    +__init__(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#

    Initialize the Chinese dataset from the Universal Propositions Bank.

    The dataset is downloaded from System-T/UniversalPropositions

    @@ -1622,11 +1622,11 @@

    Versions

    -class flair.datasets.sequence_labeling.UP_ENGLISH(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.UP_ENGLISH(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -__init__(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#
    +__init__(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#

    Initialize the English dataset from the Universal Propositions Bank.

    The dataset is downloaded from System-T/UniversalPropositions

    @@ -1644,11 +1644,11 @@

    Versions

    -class flair.datasets.sequence_labeling.UP_FRENCH(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.UP_FRENCH(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -__init__(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#
    +__init__(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#

    Initialize the French dataset from the Universal Propositions Bank.

    The dataset is downloaded from System-T/UniversalPropositions

    @@ -1666,11 +1666,11 @@

    Versions

    -class flair.datasets.sequence_labeling.UP_FINNISH(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.UP_FINNISH(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -__init__(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#
    +__init__(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#

    Initialize the Finnish dataset from the Universal Propositions Bank.

    The dataset is downloaded from System-T/UniversalPropositions

    @@ -1688,11 +1688,11 @@

    Versions

    -class flair.datasets.sequence_labeling.UP_GERMAN(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.UP_GERMAN(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -__init__(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#
    +__init__(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#

    Initialize the German dataset from the Universal Propositions Bank.

    The dataset is downloaded from System-T/UniversalPropositions

    @@ -1710,11 +1710,11 @@

    Versions

    -class flair.datasets.sequence_labeling.UP_ITALIAN(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.UP_ITALIAN(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -__init__(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#
    +__init__(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#

    Initialize the Italian dataset from the Universal Propositions Bank.

    The dataset is downloaded from System-T/UniversalPropositions

    @@ -1732,11 +1732,11 @@

    Versions

    -class flair.datasets.sequence_labeling.UP_SPANISH(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.UP_SPANISH(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -__init__(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#
    +__init__(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#

    Initialize the Spanish dataset from the Universal Propositions Bank.

    The dataset is downloaded from System-T/UniversalPropositions

    @@ -1754,11 +1754,11 @@

    Versions

    -class flair.datasets.sequence_labeling.UP_SPANISH_ANCORA(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.UP_SPANISH_ANCORA(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -__init__(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#
    +__init__(base_path=None, in_memory=True, document_as_sequence=False, **corpusargs)View on GitHub#

    Initialize the Spanish AnCora dataset from the Universal Propositions Bank.

    The dataset is downloaded from System-T/UniversalPropositions

    @@ -1776,11 +1776,11 @@

    Versions

    -class flair.datasets.sequence_labeling.NER_HIPE_2022(dataset_name, language, base_path=None, in_memory=True, version='v2.1', branch_name='main', dev_split_name='dev', add_document_separator=False, sample_missing_splits=False, preproc_fn=None, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_HIPE_2022(dataset_name, language, base_path=None, in_memory=True, version='v2.1', branch_name='main', dev_split_name='dev', add_document_separator=False, sample_missing_splits=False, preproc_fn=None, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -__init__(dataset_name, language, base_path=None, in_memory=True, version='v2.1', branch_name='main', dev_split_name='dev', add_document_separator=False, sample_missing_splits=False, preproc_fn=None, **corpusargs)View on GitHub#
    +__init__(dataset_name, language, base_path=None, in_memory=True, version='v2.1', branch_name='main', dev_split_name='dev', add_document_separator=False, sample_missing_splits=False, preproc_fn=None, **corpusargs)View on GitHub#

    Initialize the CLEF-HIPE 2022 NER dataset.

    The first time you call this constructor it will automatically download the specified dataset (by given a language). @@ -1803,11 +1803,11 @@

    Versions

    -class flair.datasets.sequence_labeling.NER_ICDAR_EUROPEANA(language, base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_ICDAR_EUROPEANA(language, base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Bases: ColumnCorpus

    -__init__(language, base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +__init__(language, base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Initialize the ICDAR Europeana NER dataset.

    The dataset is based on the French and Dutch Europeana NER corpora from the Europeana Newspapers NER dataset (https://lab.kb.nl/dataset/europeana-newspapers-ner), with additional @@ -1827,11 +1827,11 @@

    Versions

    -class flair.datasets.sequence_labeling.NER_NERMUD(domains='all', base_path=None, in_memory=False, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.NER_NERMUD(domains='all', base_path=None, in_memory=False, **corpusargs)View on GitHub#

    Bases: MultiCorpus

    -__init__(domains='all', base_path=None, in_memory=False, **corpusargs)View on GitHub#
    +__init__(domains='all', base_path=None, in_memory=False, **corpusargs)View on GitHub#

    Initilize the NERMuD 2023 dataset.

    NERMuD is a task presented at EVALITA 2023 consisting in the extraction and classification of named-entities in a document, such as persons, organizations, and locations. NERMuD 2023 will include two different sub-tasks:

    @@ -1856,11 +1856,11 @@

    Versions

    -class flair.datasets.sequence_labeling.MASAKHA_POS(languages='bam', version='v1', base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +class flair.datasets.sequence_labeling.MASAKHA_POS(languages='bam', version='v1', base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Bases: MultiCorpus

    -__init__(languages='bam', version='v1', base_path=None, in_memory=True, **corpusargs)View on GitHub#
    +__init__(languages='bam', version='v1', base_path=None, in_memory=True, **corpusargs)View on GitHub#

    Initialize the MasakhaPOS corpus available on masakhane-io/masakhane-pos.

    It consists of 20 African languages. Pass a language code or a list of language codes to initialize the corpus with the languages you require. If you pass “all”, all languages will be initialized. diff --git a/doc-page/api/datasets/text_image.html b/master/api/datasets/text_image.html similarity index 96% rename from doc-page/api/datasets/text_image.html rename to master/api/datasets/text_image.html index 5ddd56dd43..bfbb874fbf 100644 --- a/doc-page/api/datasets/text_image.html +++ b/master/api/datasets/text_image.html @@ -424,7 +424,7 @@

    Versions

    @@ -492,17 +492,17 @@

    Versions

    flair.datasets.text_image#

    -class flair.datasets.text_image.FeideggerCorpus(**kwargs)View on GitHub#
    +class flair.datasets.text_image.FeideggerCorpus(**kwargs)View on GitHub#

    Bases: Corpus

    -class flair.datasets.text_image.FeideggerDataset(dataset_info, **kwargs)View on GitHub#
    +class flair.datasets.text_image.FeideggerDataset(dataset_info, **kwargs)View on GitHub#

    Bases: FlairDataset

    -is_in_memory()View on GitHub#
    +is_in_memory()View on GitHub#
    Return type:

    bool

    diff --git a/doc-page/api/datasets/text_text.html b/master/api/datasets/text_text.html similarity index 90% rename from doc-page/api/datasets/text_text.html rename to master/api/datasets/text_text.html index 495cd0691a..3927a54168 100644 --- a/doc-page/api/datasets/text_text.html +++ b/master/api/datasets/text_text.html @@ -424,7 +424,7 @@

    Versions

    @@ -492,11 +492,11 @@

    Versions

    flair.datasets.text_text#

    -class flair.datasets.text_text.ParallelTextCorpus(source_file, target_file, name, use_tokenizer=True, max_tokens_per_doc=-1, max_chars_per_doc=-1, in_memory=True, **corpusargs)View on GitHub#
    +class flair.datasets.text_text.ParallelTextCorpus(source_file, target_file, name, use_tokenizer=True, max_tokens_per_doc=-1, max_chars_per_doc=-1, in_memory=True, **corpusargs)View on GitHub#

    Bases: Corpus

    -__init__(source_file, target_file, name, use_tokenizer=True, max_tokens_per_doc=-1, max_chars_per_doc=-1, in_memory=True, **corpusargs)View on GitHub#
    +__init__(source_file, target_file, name, use_tokenizer=True, max_tokens_per_doc=-1, max_chars_per_doc=-1, in_memory=True, **corpusargs)View on GitHub#

    Instantiates a Corpus for text classification from CSV column formatted data.

    Parameters:
    @@ -515,7 +515,7 @@

    Versions

    -is_in_memory()View on GitHub#
    +is_in_memory()View on GitHub#
    Return type:

    bool

    @@ -527,11 +527,11 @@

    Versions

    -class flair.datasets.text_text.OpusParallelCorpus(dataset, l1, l2, use_tokenizer=True, max_tokens_per_doc=-1, max_chars_per_doc=-1, in_memory=True, **corpusargs)View on GitHub#
    +class flair.datasets.text_text.OpusParallelCorpus(dataset, l1, l2, use_tokenizer=True, max_tokens_per_doc=-1, max_chars_per_doc=-1, in_memory=True, **corpusargs)View on GitHub#

    Bases: ParallelTextCorpus

    -__init__(dataset, l1, l2, use_tokenizer=True, max_tokens_per_doc=-1, max_chars_per_doc=-1, in_memory=True, **corpusargs)View on GitHub#
    +__init__(dataset, l1, l2, use_tokenizer=True, max_tokens_per_doc=-1, max_chars_per_doc=-1, in_memory=True, **corpusargs)View on GitHub#

    Instantiates a Parallel Corpus from OPUS.

    see http://opus.nlpl.eu/ :type dataset: str @@ -554,11 +554,11 @@

    Versions

    -class flair.datasets.text_text.ParallelTextDataset(path_to_source, path_to_target, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True)View on GitHub#
    +class flair.datasets.text_text.ParallelTextDataset(path_to_source, path_to_target, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True)View on GitHub#

    Bases: FlairDataset

    -is_in_memory()View on GitHub#
    +is_in_memory()View on GitHub#
    Return type:

    bool

    @@ -570,11 +570,11 @@

    Versions

    -class flair.datasets.text_text.DataPairCorpus(data_folder, columns=[0, 1, 2], train_file=None, test_file=None, dev_file=None, use_tokenizer=True, max_tokens_per_doc=-1, max_chars_per_doc=-1, in_memory=True, label_type=None, autofind_splits=True, sample_missing_splits=True, skip_first_line=False, separator='\\t', encoding='utf-8')View on GitHub#
    +class flair.datasets.text_text.DataPairCorpus(data_folder, columns=[0, 1, 2], train_file=None, test_file=None, dev_file=None, use_tokenizer=True, max_tokens_per_doc=-1, max_chars_per_doc=-1, in_memory=True, label_type=None, autofind_splits=True, sample_missing_splits=True, skip_first_line=False, separator='\\t', encoding='utf-8')View on GitHub#

    Bases: Corpus

    -__init__(data_folder, columns=[0, 1, 2], train_file=None, test_file=None, dev_file=None, use_tokenizer=True, max_tokens_per_doc=-1, max_chars_per_doc=-1, in_memory=True, label_type=None, autofind_splits=True, sample_missing_splits=True, skip_first_line=False, separator='\\t', encoding='utf-8')View on GitHub#
    +__init__(data_folder, columns=[0, 1, 2], train_file=None, test_file=None, dev_file=None, use_tokenizer=True, max_tokens_per_doc=-1, max_chars_per_doc=-1, in_memory=True, label_type=None, autofind_splits=True, sample_missing_splits=True, skip_first_line=False, separator='\\t', encoding='utf-8')View on GitHub#

    Corpus for tasks involving pairs of sentences or paragraphs.

    The data files are expected to be in column format where each line has a column for the first sentence/paragraph, the second sentence/paragraph and the labels, respectively. The columns must be separated by a given separator (default: ‘t’).

    @@ -609,11 +609,11 @@

    Versions

    -class flair.datasets.text_text.DataPairDataset(path_to_data, columns=[0, 1, 2], max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, label_type=None, skip_first_line=False, separator='\\t', encoding='utf-8', label=True)View on GitHub#
    +class flair.datasets.text_text.DataPairDataset(path_to_data, columns=[0, 1, 2], max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, label_type=None, skip_first_line=False, separator='\\t', encoding='utf-8', label=True)View on GitHub#

    Bases: FlairDataset

    -__init__(path_to_data, columns=[0, 1, 2], max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, label_type=None, skip_first_line=False, separator='\\t', encoding='utf-8', label=True)View on GitHub#
    +__init__(path_to_data, columns=[0, 1, 2], max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, label_type=None, skip_first_line=False, separator='\\t', encoding='utf-8', label=True)View on GitHub#

    Creates a Dataset for pairs of sentences/paragraphs.

    The file needs to be in a column format, where each line has a column for the first sentence/paragraph, the second sentence/paragraph and the label @@ -640,7 +640,7 @@

    Versions

    -is_in_memory()View on GitHub#
    +is_in_memory()View on GitHub#
    Return type:

    bool

    @@ -652,11 +652,11 @@

    Versions

    -class flair.datasets.text_text.GLUE_RTE(label_type='entailment', base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, sample_missing_splits=True)View on GitHub#
    +class flair.datasets.text_text.GLUE_RTE(label_type='entailment', base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, sample_missing_splits=True)View on GitHub#

    Bases: DataPairCorpus

    -__init__(label_type='entailment', base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, sample_missing_splits=True)View on GitHub#
    +__init__(label_type='entailment', base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, sample_missing_splits=True)View on GitHub#

    Creates a DataPairCorpus for the Glue Recognizing Textual Entailment (RTE) data.

    See https://gluebenchmark.com/tasks Additionally to the Corpus we have a eval_dataset containing the test file of the Glue data. @@ -665,18 +665,18 @@

    Versions

    -tsv_from_eval_dataset(folder_path)View on GitHub#
    +tsv_from_eval_dataset(folder_path)View on GitHub#
    -class flair.datasets.text_text.GLUE_MNLI(label_type='entailment', evaluate_on_matched=True, base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, sample_missing_splits=True)View on GitHub#
    +class flair.datasets.text_text.GLUE_MNLI(label_type='entailment', evaluate_on_matched=True, base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, sample_missing_splits=True)View on GitHub#

    Bases: DataPairCorpus

    -__init__(label_type='entailment', evaluate_on_matched=True, base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, sample_missing_splits=True)View on GitHub#
    +__init__(label_type='entailment', evaluate_on_matched=True, base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, sample_missing_splits=True)View on GitHub#

    Creates a DataPairCorpus for the Multi-Genre Natural Language Inference Corpus (MNLI) from GLUE benchmark.

    see https://gluebenchmark.com/tasks Entailment annotations are: entailment, contradiction, neutral. @@ -686,18 +686,18 @@

    Versions

    -tsv_from_eval_dataset(folder_path)View on GitHub#
    +tsv_from_eval_dataset(folder_path)View on GitHub#
    -class flair.datasets.text_text.GLUE_MRPC(label_type='paraphrase', base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, sample_missing_splits=True)View on GitHub#
    +class flair.datasets.text_text.GLUE_MRPC(label_type='paraphrase', base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, sample_missing_splits=True)View on GitHub#

    Bases: DataPairCorpus

    -__init__(label_type='paraphrase', base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, sample_missing_splits=True)View on GitHub#
    +__init__(label_type='paraphrase', base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, sample_missing_splits=True)View on GitHub#

    Creates a DataPairCorpus for the Microsoft Research Paraphrase Corpus (MRPC) from Glue benchmark.

    See https://gluebenchmark.com/tasks MRPC includes annotated train and test sets. Dev set is sampled each time when creating this corpus.

    @@ -705,18 +705,18 @@

    Versions

    -tsv_from_eval_dataset(folder_path)View on GitHub#
    +tsv_from_eval_dataset(folder_path)View on GitHub#
    -class flair.datasets.text_text.GLUE_QNLI(label_type='entailment', base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, sample_missing_splits=True)View on GitHub#
    +class flair.datasets.text_text.GLUE_QNLI(label_type='entailment', base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, sample_missing_splits=True)View on GitHub#

    Bases: DataPairCorpus

    -__init__(label_type='entailment', base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, sample_missing_splits=True)View on GitHub#
    +__init__(label_type='entailment', base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, sample_missing_splits=True)View on GitHub#

    Creates a DataPairCorpus for the Question-answering Natural Language Inference dataset (QNLI) from GLUE.

    see https://gluebenchmark.com/tasks Additionally, to the Corpus we have an eval_dataset containing the test file of the Glue data. @@ -725,18 +725,18 @@

    Versions

    -tsv_from_eval_dataset(folder_path)View on GitHub#
    +tsv_from_eval_dataset(folder_path)View on GitHub#
    -class flair.datasets.text_text.GLUE_QQP(label_type='paraphrase', base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, sample_missing_splits=True)View on GitHub#
    +class flair.datasets.text_text.GLUE_QQP(label_type='paraphrase', base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, sample_missing_splits=True)View on GitHub#

    Bases: DataPairCorpus

    -__init__(label_type='paraphrase', base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, sample_missing_splits=True)View on GitHub#
    +__init__(label_type='paraphrase', base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, sample_missing_splits=True)View on GitHub#

    Creates a Quora Question Pairs (QQP) Corpus from the Glue benchmark.

    See https://gluebenchmark.com/tasks The task is to determine whether a pair of questions are semantically equivalent. @@ -746,18 +746,18 @@

    Versions

    -tsv_from_eval_dataset(folder_path)View on GitHub#
    +tsv_from_eval_dataset(folder_path)View on GitHub#
    -class flair.datasets.text_text.GLUE_WNLI(label_type='entailment', base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, sample_missing_splits=True)View on GitHub#
    +class flair.datasets.text_text.GLUE_WNLI(label_type='entailment', base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, sample_missing_splits=True)View on GitHub#

    Bases: DataPairCorpus

    -__init__(label_type='entailment', base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, sample_missing_splits=True)View on GitHub#
    +__init__(label_type='entailment', base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, sample_missing_splits=True)View on GitHub#

    Creates a Winograd Schema Challenge Corpus formated as Natural Language Inference task (WNLI).

    The task is to predict if the sentence with the pronoun substituted is entailed by the original sentence. Additionaly to the Corpus we have a eval_dataset containing the test file of the Glue data. @@ -766,18 +766,18 @@

    Versions

    -tsv_from_eval_dataset(folder_path)View on GitHub#
    +tsv_from_eval_dataset(folder_path)View on GitHub#
    -class flair.datasets.text_text.GLUE_STSB(label_type='similarity', base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, sample_missing_splits=True)View on GitHub#
    +class flair.datasets.text_text.GLUE_STSB(label_type='similarity', base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, sample_missing_splits=True)View on GitHub#

    Bases: DataPairCorpus

    -tsv_from_eval_dataset(folder_path)View on GitHub#
    +tsv_from_eval_dataset(folder_path)View on GitHub#

    Create a tsv file of the predictions of the eval_dataset.

    After calling classifier.predict(corpus.eval_dataset, label_name=’similarity’), this function can be used to produce a file called STS-B.tsv suitable for submission to the Glue Benchmark.

    @@ -787,11 +787,11 @@

    Versions

    -class flair.datasets.text_text.SUPERGLUE_RTE(base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, sample_missing_splits=True)View on GitHub#
    +class flair.datasets.text_text.SUPERGLUE_RTE(base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, sample_missing_splits=True)View on GitHub#

    Bases: DataPairCorpus

    -__init__(base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, sample_missing_splits=True)View on GitHub#
    +__init__(base_path=None, max_tokens_per_doc=-1, max_chars_per_doc=-1, use_tokenizer=True, in_memory=True, sample_missing_splits=True)View on GitHub#

    Creates a DataPairCorpus for the SuperGlue Recognizing Textual Entailment (RTE) data.

    See https://super.gluebenchmark.com/tasks Additionaly to the Corpus we have a eval_dataset containing the test file of the SuperGlue data. @@ -800,14 +800,14 @@

    Versions

    -jsonl_from_eval_dataset(folder_path)View on GitHub#
    +jsonl_from_eval_dataset(folder_path)View on GitHub#
    -flair.datasets.text_text.rte_jsonl_to_tsv(file_path, label=True, remove=False, encoding='utf-8')View on GitHub#
    +flair.datasets.text_text.rte_jsonl_to_tsv(file_path, label=True, remove=False, encoding='utf-8')View on GitHub#
    diff --git a/doc-page/api/datasets/treebanks.html b/master/api/datasets/treebanks.html similarity index 88% rename from doc-page/api/datasets/treebanks.html rename to master/api/datasets/treebanks.html index 0c9f535ee8..ca54dfd2bc 100644 --- a/doc-page/api/datasets/treebanks.html +++ b/master/api/datasets/treebanks.html @@ -424,7 +424,7 @@

    Versions

    @@ -492,11 +492,11 @@

    Versions

    flair.datasets.treebanks#

    -class flair.datasets.treebanks.UniversalDependenciesCorpus(data_folder, train_file=None, test_file=None, dev_file=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UniversalDependenciesCorpus(data_folder, train_file=None, test_file=None, dev_file=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: Corpus

    -__init__(data_folder, train_file=None, test_file=None, dev_file=None, in_memory=True, split_multiwords=True)View on GitHub#
    +__init__(data_folder, train_file=None, test_file=None, dev_file=None, in_memory=True, split_multiwords=True)View on GitHub#

    Instantiates a Corpus from CoNLL-U column-formatted task data such as the UD corpora.

    Parameters:
    @@ -519,11 +519,11 @@

    Versions

    -class flair.datasets.treebanks.UniversalDependenciesDataset(path_to_conll_file, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UniversalDependenciesDataset(path_to_conll_file, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: FlairDataset

    -__init__(path_to_conll_file, in_memory=True, split_multiwords=True)View on GitHub#
    +__init__(path_to_conll_file, in_memory=True, split_multiwords=True)View on GitHub#

    Instantiates a column dataset in CoNLL-U format.

    Parameters:
    @@ -537,7 +537,7 @@

    Versions

    -is_in_memory()View on GitHub#
    +is_in_memory()View on GitHub#
    Return type:

    bool

    @@ -549,67 +549,67 @@

    Versions

    -class flair.datasets.treebanks.UD_ENGLISH(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_ENGLISH(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_GALICIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_GALICIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_ANCIENT_GREEK(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_ANCIENT_GREEK(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_KAZAKH(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_KAZAKH(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_OLD_CHURCH_SLAVONIC(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_OLD_CHURCH_SLAVONIC(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_ARMENIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_ARMENIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_ESTONIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_ESTONIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_GERMAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_GERMAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_GERMAN_HDT(base_path=None, in_memory=False, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_GERMAN_HDT(base_path=None, in_memory=False, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_DUTCH(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_DUTCH(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_FAROESE(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_FAROESE(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    This treebank includes the Faroese treebank dataset.

    The data is obtained from the following link: @@ -619,283 +619,283 @@

    Versions

    -class flair.datasets.treebanks.UD_FRENCH(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_FRENCH(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_ITALIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_ITALIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_LATIN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_LATIN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_SPANISH(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_SPANISH(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_PORTUGUESE(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_PORTUGUESE(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_ROMANIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_ROMANIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_CATALAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_CATALAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_POLISH(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_POLISH(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_CZECH(base_path=None, in_memory=False, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_CZECH(base_path=None, in_memory=False, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_SLOVAK(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_SLOVAK(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_SWEDISH(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_SWEDISH(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_DANISH(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_DANISH(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_NORWEGIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_NORWEGIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_FINNISH(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_FINNISH(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_SLOVENIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_SLOVENIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_CROATIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_CROATIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_SERBIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_SERBIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_BULGARIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_BULGARIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_ARABIC(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_ARABIC(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_HEBREW(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_HEBREW(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_TURKISH(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_TURKISH(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_UKRAINIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_UKRAINIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_PERSIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_PERSIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_RUSSIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_RUSSIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_HINDI(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_HINDI(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_INDONESIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_INDONESIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_JAPANESE(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_JAPANESE(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_CHINESE(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_CHINESE(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_KOREAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_KOREAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_BASQUE(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_BASQUE(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_CHINESE_KYOTO(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_CHINESE_KYOTO(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_GREEK(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_GREEK(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_NAIJA(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_NAIJA(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_LIVVI(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_LIVVI(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_BURYAT(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_BURYAT(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_NORTH_SAMI(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_NORTH_SAMI(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_MARATHI(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_MARATHI(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_MALTESE(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_MALTESE(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_AFRIKAANS(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_AFRIKAANS(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_GOTHIC(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_GOTHIC(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_OLD_FRENCH(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_OLD_FRENCH(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_WOLOF(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_WOLOF(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_BELARUSIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_BELARUSIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_COPTIC(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_COPTIC(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_IRISH(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_IRISH(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_LATVIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_LATVIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    -class flair.datasets.treebanks.UD_LITHUANIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#
    +class flair.datasets.treebanks.UD_LITHUANIAN(base_path=None, in_memory=True, split_multiwords=True)View on GitHub#

    Bases: UniversalDependenciesCorpus

    diff --git a/doc-page/api/embeddings/base.html b/master/api/embeddings/base.html similarity index 90% rename from doc-page/api/embeddings/base.html rename to master/api/embeddings/base.html index 6891088f90..0204a86d7a 100644 --- a/doc-page/api/embeddings/base.html +++ b/master/api/embeddings/base.html @@ -420,7 +420,7 @@

    Versions

    @@ -488,7 +488,7 @@

    Versions

    flair.embeddings.base#

    -class flair.embeddings.base.EmbeddingsView on GitHub#
    +class flair.embeddings.base.EmbeddingsView on GitHub#

    Bases: Module, Generic[DT]

    Abstract base class for all embeddings. Every new type of embedding must implement these methods.

    @@ -498,7 +498,7 @@

    Versions

    -__init__()View on GitHub#
    +__init__()View on GitHub#

    Set some attributes that would otherwise result in errors. Overwrite these in your embedding class.

    @@ -515,7 +515,7 @@

    Versions

    -embed(data_points)View on GitHub#
    +embed(data_points)View on GitHub#

    Add embeddings to all words in a list of sentences.

    If embeddings are already added, updates only if embeddings are non-static.

    @@ -527,13 +527,13 @@

    Versions

    -abstract _add_embeddings_internal(sentences)View on GitHub#
    +abstract _add_embeddings_internal(sentences)View on GitHub#

    Private method for adding embeddings to all words in a list of sentences.

    -get_names()View on GitHub#
    +get_names()View on GitHub#

    Returns a list of embedding names.

    In most cases, it is just a list with one item, namely the name of this embedding. But in some cases, the embedding is made up by different embeddings (StackedEmbedding). @@ -547,7 +547,7 @@

    Versions

    -get_named_embeddings_dict()View on GitHub#
    +get_named_embeddings_dict()View on GitHub#
    Return type:

    Dict

    @@ -557,7 +557,7 @@

    Versions

    -static get_instance_parameters(locals)View on GitHub#
    +static get_instance_parameters(locals)View on GitHub#
    Return type:

    dict

    @@ -567,7 +567,7 @@

    Versions

    -classmethod from_params(params)View on GitHub#
    +classmethod from_params(params)View on GitHub#
    Return type:

    Embeddings

    @@ -577,7 +577,7 @@

    Versions

    -to_params()View on GitHub#
    +to_params()View on GitHub#
    Return type:

    Dict[str, Any]

    @@ -587,19 +587,19 @@

    Versions

    -classmethod load_embedding(params)View on GitHub#
    +classmethod load_embedding(params)View on GitHub#
    -save_embeddings(use_state_dict=True)View on GitHub#
    +save_embeddings(use_state_dict=True)View on GitHub#
    -class flair.embeddings.base.ScalarMix(mixture_size, trainable=False)View on GitHub#
    +class flair.embeddings.base.ScalarMix(mixture_size, trainable=False)View on GitHub#

    Bases: Module

    Mixes several tensors by a learned weighting.

    Computes a parameterised scalar mixture of N tensors. @@ -610,7 +610,7 @@

    Versions

    allenai/allennlp.

    -__init__(mixture_size, trainable=False)View on GitHub#
    +__init__(mixture_size, trainable=False)View on GitHub#

    Inits scalar mix implementation.

    mixture = gamma * sum(s_k * tensor_k) where s = softmax(w), with w and gamma scalar parameters.

    @@ -625,7 +625,7 @@

    Versions

    -forward(tensors)View on GitHub#
    +forward(tensors)View on GitHub#

    Forward pass of scalar mix.

    Computes a weighted average of the tensors. The input tensors an be any shape with at least two dimensions, but must all be the same shape.

    @@ -649,7 +649,7 @@

    Versions

    -class flair.embeddings.base.DocumentEmbeddingsView on GitHub#
    +class flair.embeddings.base.DocumentEmbeddingsView on GitHub#

    Bases: Embeddings[Sentence]

    Abstract base class for all document-level embeddings. Every new type of document embedding must implement these methods.

    @@ -676,7 +676,7 @@

    Versions

    -class flair.embeddings.base.TokenEmbeddingsView on GitHub#
    +class flair.embeddings.base.TokenEmbeddingsView on GitHub#

    Bases: Embeddings[Sentence]

    Abstract base class for all token-level embeddings. Ever new type of word embedding must implement these methods.

    @@ -703,12 +703,12 @@

    Versions

    -flair.embeddings.base.register_embeddings(*args)View on GitHub#
    +flair.embeddings.base.register_embeddings(*args)View on GitHub#
    -flair.embeddings.base.load_embeddings(params)View on GitHub#
    +flair.embeddings.base.load_embeddings(params)View on GitHub#
    Return type:

    Embeddings

    diff --git a/doc-page/api/embeddings/document.html b/master/api/embeddings/document.html similarity index 89% rename from doc-page/api/embeddings/document.html rename to master/api/embeddings/document.html index 0be571dfe1..6644f73840 100644 --- a/doc-page/api/embeddings/document.html +++ b/master/api/embeddings/document.html @@ -420,7 +420,7 @@

    Versions

    @@ -488,17 +488,17 @@

    Versions

    flair.embeddings.document#

    -class flair.embeddings.document.TransformerDocumentEmbeddings(model='bert-base-uncased', layers='-1', layer_mean=False, is_token_embedding=False, **kwargs)View on GitHub#
    +class flair.embeddings.document.TransformerDocumentEmbeddings(model='bert-base-uncased', layers='-1', layer_mean=False, is_token_embedding=False, **kwargs)View on GitHub#

    Bases: DocumentEmbeddings, TransformerEmbeddings

    -onnx_clsView on GitHub#
    +onnx_clsView on GitHub#

    alias of TransformerOnnxDocumentEmbeddings

    -__init__(model='bert-base-uncased', layers='-1', layer_mean=False, is_token_embedding=False, **kwargs)View on GitHub#
    +__init__(model='bert-base-uncased', layers='-1', layer_mean=False, is_token_embedding=False, **kwargs)View on GitHub#

    Bidirectional transformer embeddings of words from various transformer architectures.

    Parameters:
    @@ -517,7 +517,7 @@

    Versions

    -classmethod create_from_state(**state)View on GitHub#
    +classmethod create_from_state(**state)View on GitHub#
    @@ -539,11 +539,11 @@

    Versions

    -class flair.embeddings.document.DocumentPoolEmbeddings(embeddings, fine_tune_mode='none', pooling='mean')View on GitHub#
    +class flair.embeddings.document.DocumentPoolEmbeddings(embeddings, fine_tune_mode='none', pooling='mean')View on GitHub#

    Bases: DocumentEmbeddings

    -__init__(embeddings, fine_tune_mode='none', pooling='mean')View on GitHub#
    +__init__(embeddings, fine_tune_mode='none', pooling='mean')View on GitHub#

    The constructor takes a list of embeddings to be combined.

    Parameters:
    @@ -569,14 +569,14 @@

    Versions

    -embed(sentences)View on GitHub#
    +embed(sentences)View on GitHub#

    Add embeddings to every sentence in the given list of sentences.

    If embeddings are already added, updates only if embeddings are non-static.

    -extra_repr()View on GitHub#
    +extra_repr()View on GitHub#

    Set the extra representation of the module

    To print customized extra information, you should re-implement this method in your own modules. Both single-line and multi-line @@ -585,7 +585,7 @@

    Versions

    -classmethod from_params(params)View on GitHub#
    +classmethod from_params(params)View on GitHub#
    Return type:

    DocumentPoolEmbeddings

    @@ -595,7 +595,7 @@

    Versions

    -to_params()View on GitHub#
    +to_params()View on GitHub#
    Return type:

    Dict[str, Any]

    @@ -617,11 +617,11 @@

    Versions

    -class flair.embeddings.document.DocumentTFIDFEmbeddings(train_dataset, vectorizer=None, **vectorizer_params)View on GitHub#
    +class flair.embeddings.document.DocumentTFIDFEmbeddings(train_dataset, vectorizer=None, **vectorizer_params)View on GitHub#

    Bases: DocumentEmbeddings

    -__init__(train_dataset, vectorizer=None, **vectorizer_params)View on GitHub#
    +__init__(train_dataset, vectorizer=None, **vectorizer_params)View on GitHub#

    The constructor for DocumentTFIDFEmbeddings.

    Parameters:
    @@ -647,13 +647,13 @@

    Versions

    -embed(sentences)View on GitHub#
    +embed(sentences)View on GitHub#

    Add embeddings to every sentence in the given list of sentences.

    -classmethod from_params(params)View on GitHub#
    +classmethod from_params(params)View on GitHub#
    Return type:

    DocumentTFIDFEmbeddings

    @@ -663,7 +663,7 @@

    Versions

    -to_params()View on GitHub#
    +to_params()View on GitHub#
    Return type:

    Dict[str, Any]

    @@ -685,11 +685,11 @@

    Versions

    -class flair.embeddings.document.DocumentRNNEmbeddings(embeddings, hidden_size=128, rnn_layers=1, reproject_words=True, reproject_words_dimension=None, bidirectional=False, dropout=0.5, word_dropout=0.0, locked_dropout=0.0, rnn_type='GRU', fine_tune=True)View on GitHub#
    +class flair.embeddings.document.DocumentRNNEmbeddings(embeddings, hidden_size=128, rnn_layers=1, reproject_words=True, reproject_words_dimension=None, bidirectional=False, dropout=0.5, word_dropout=0.0, locked_dropout=0.0, rnn_type='GRU', fine_tune=True)View on GitHub#

    Bases: DocumentEmbeddings

    -__init__(embeddings, hidden_size=128, rnn_layers=1, reproject_words=True, reproject_words_dimension=None, bidirectional=False, dropout=0.5, word_dropout=0.0, locked_dropout=0.0, rnn_type='GRU', fine_tune=True)View on GitHub#
    +__init__(embeddings, hidden_size=128, rnn_layers=1, reproject_words=True, reproject_words_dimension=None, bidirectional=False, dropout=0.5, word_dropout=0.0, locked_dropout=0.0, rnn_type='GRU', fine_tune=True)View on GitHub#

    Instantiates an RNN that works upon some token embeddings.

    Parameters:
    @@ -723,19 +723,19 @@

    Versions

    -_add_embeddings_internal(sentences)View on GitHub#
    +_add_embeddings_internal(sentences)View on GitHub#

    Add embeddings to all sentences in the given list of sentences.

    If embeddings are already added, update only if embeddings are non-static.

    -to_params()View on GitHub#
    +to_params()View on GitHub#
    -classmethod from_params(params)View on GitHub#
    +classmethod from_params(params)View on GitHub#
    Return type:

    DocumentRNNEmbeddings

    @@ -757,7 +757,7 @@

    Versions

    -class flair.embeddings.document.DocumentLMEmbeddings(flair_embeddings)View on GitHub#
    +class flair.embeddings.document.DocumentLMEmbeddings(flair_embeddings)View on GitHub#

    Bases: DocumentEmbeddings

    @@ -772,7 +772,7 @@

    Versions

    -get_names()View on GitHub#
    +get_names()View on GitHub#

    Returns a list of embedding names.

    In most cases, it is just a list with one item, namely the name of this embedding. But in some cases, the embedding is made up by different embeddings (StackedEmbedding). @@ -786,7 +786,7 @@

    Versions

    -to_params()View on GitHub#
    +to_params()View on GitHub#
    Return type:

    Dict[str, Any]

    @@ -796,7 +796,7 @@

    Versions

    -classmethod from_params(params)View on GitHub#
    +classmethod from_params(params)View on GitHub#
    Return type:

    DocumentLMEmbeddings

    @@ -818,11 +818,11 @@

    Versions

    -class flair.embeddings.document.SentenceTransformerDocumentEmbeddings(model='bert-base-nli-mean-tokens', batch_size=1)View on GitHub#
    +class flair.embeddings.document.SentenceTransformerDocumentEmbeddings(model='bert-base-nli-mean-tokens', batch_size=1)View on GitHub#

    Bases: DocumentEmbeddings

    -__init__(model='bert-base-nli-mean-tokens', batch_size=1)View on GitHub#
    +__init__(model='bert-base-nli-mean-tokens', batch_size=1)View on GitHub#

    Instantiates a document embedding using the SentenceTransformer Embeddings.

    Parameters:
    @@ -847,7 +847,7 @@

    Versions

    -classmethod from_params(params)View on GitHub#
    +classmethod from_params(params)View on GitHub#
    Return type:

    SentenceTransformerDocumentEmbeddings

    @@ -857,7 +857,7 @@

    Versions

    -to_params()View on GitHub#
    +to_params()View on GitHub#
    Return type:

    Dict[str, Any]

    @@ -879,11 +879,11 @@

    Versions

    -class flair.embeddings.document.DocumentCNNEmbeddings(embeddings, kernels=((100, 3), (100, 4), (100, 5)), reproject_words=True, reproject_words_dimension=None, dropout=0.5, word_dropout=0.0, locked_dropout=0.0, fine_tune=True)View on GitHub#
    +class flair.embeddings.document.DocumentCNNEmbeddings(embeddings, kernels=((100, 3), (100, 4), (100, 5)), reproject_words=True, reproject_words_dimension=None, dropout=0.5, word_dropout=0.0, locked_dropout=0.0, fine_tune=True)View on GitHub#

    Bases: DocumentEmbeddings

    -__init__(embeddings, kernels=((100, 3), (100, 4), (100, 5)), reproject_words=True, reproject_words_dimension=None, dropout=0.5, word_dropout=0.0, locked_dropout=0.0, fine_tune=True)View on GitHub#
    +__init__(embeddings, kernels=((100, 3), (100, 4), (100, 5)), reproject_words=True, reproject_words_dimension=None, dropout=0.5, word_dropout=0.0, locked_dropout=0.0, fine_tune=True)View on GitHub#

    Instantiates a CNN that works upon some token embeddings.

    Parameters:
    @@ -924,14 +924,14 @@

    Versions

    -_add_embeddings_internal(sentences)View on GitHub#
    +_add_embeddings_internal(sentences)View on GitHub#

    Add embeddings to all sentences in the given list of sentences.

    If embeddings are already added, update only if embeddings are non-static.

    -classmethod from_params(params)View on GitHub#
    +classmethod from_params(params)View on GitHub#
    Return type:

    DocumentCNNEmbeddings

    @@ -941,7 +941,7 @@

    Versions

    -to_params()View on GitHub#
    +to_params()View on GitHub#
    Return type:

    Dict[str, Any]

    diff --git a/doc-page/api/embeddings/image.html b/master/api/embeddings/image.html similarity index 94% rename from doc-page/api/embeddings/image.html rename to master/api/embeddings/image.html index 9a7b1d20c9..ed3b2a9f62 100644 --- a/doc-page/api/embeddings/image.html +++ b/master/api/embeddings/image.html @@ -420,7 +420,7 @@

    Versions

    @@ -488,7 +488,7 @@

    Versions

    flair.embeddings.image#

    -class flair.embeddings.image.ImageEmbeddingsView on GitHub#
    +class flair.embeddings.image.ImageEmbeddingsView on GitHub#

    Bases: Embeddings[Image]

    @@ -497,7 +497,7 @@

    Versions

    -to_params()View on GitHub#
    +to_params()View on GitHub#
    Return type:

    Dict[str, Any]

    @@ -507,7 +507,7 @@

    Versions

    -classmethod from_params(params)View on GitHub#
    +classmethod from_params(params)View on GitHub#
    Return type:

    Embeddings

    @@ -534,7 +534,7 @@

    Versions

    -class flair.embeddings.image.IdentityImageEmbeddings(transforms)View on GitHub#
    +class flair.embeddings.image.IdentityImageEmbeddings(transforms)View on GitHub#

    Bases: ImageEmbeddings

    @@ -561,7 +561,7 @@

    Versions

    -class flair.embeddings.image.PrecomputedImageEmbeddings(url2tensor_dict, name)View on GitHub#
    +class flair.embeddings.image.PrecomputedImageEmbeddings(url2tensor_dict, name)View on GitHub#

    Bases: ImageEmbeddings

    @@ -588,7 +588,7 @@

    Versions

    -class flair.embeddings.image.NetworkImageEmbeddings(name, pretrained=True, transforms=None)View on GitHub#
    +class flair.embeddings.image.NetworkImageEmbeddings(name, pretrained=True, transforms=None)View on GitHub#

    Bases: ImageEmbeddings

    @@ -615,11 +615,11 @@

    Versions

    -class flair.embeddings.image.ConvTransformNetworkImageEmbeddings(feats_in, convnet_parms, posnet_parms, transformer_parms)View on GitHub#
    +class flair.embeddings.image.ConvTransformNetworkImageEmbeddings(feats_in, convnet_parms, posnet_parms, transformer_parms)View on GitHub#

    Bases: ImageEmbeddings

    -forward(x)View on GitHub#
    +forward(x)View on GitHub#

    Defines the computation performed at every call.

    Should be overridden by all subclasses.

    diff --git a/doc-page/api/embeddings/legacy.html b/master/api/embeddings/legacy.html similarity index 92% rename from doc-page/api/embeddings/legacy.html rename to master/api/embeddings/legacy.html index 100e160525..11630efb8d 100644 --- a/doc-page/api/embeddings/legacy.html +++ b/master/api/embeddings/legacy.html @@ -420,7 +420,7 @@

    Versions

    @@ -493,7 +493,7 @@

    flair.embeddings.legacy
    -class flair.embeddings.legacy.ELMoEmbeddings(model='original', options_file=None, weight_file=None, embedding_mode='all')View on GitHub#
    +class flair.embeddings.legacy.ELMoEmbeddings(model='original', options_file=None, weight_file=None, embedding_mode='all')View on GitHub#

    Bases: TokenEmbeddings

    Contextual word embeddings using word-level LM, as proposed in Peters et al., 2018. ELMo word vectors can be constructed by combining layers in different ways. @@ -511,22 +511,22 @@

    flair.embeddings.legacy
    -use_layers_all(x)View on GitHub#
    +use_layers_all(x)View on GitHub#

    -use_layers_top(x)View on GitHub#
    +use_layers_top(x)View on GitHub#
    -use_layers_average(x)View on GitHub#
    +use_layers_average(x)View on GitHub#
    -extra_repr()View on GitHub#
    +extra_repr()View on GitHub#

    Set the extra representation of the module

    To print customized extra information, you should re-implement this method in your own modules. Both single-line and multi-line @@ -547,12 +547,12 @@

    flair.embeddings.legacy
    -class flair.embeddings.legacy.CharLMEmbeddings(model, detach=True, use_cache=False, cache_directory=None)View on GitHub#
    +class flair.embeddings.legacy.CharLMEmbeddings(model, detach=True, use_cache=False, cache_directory=None)View on GitHub#

    Bases: TokenEmbeddings

    Contextual string embeddings of words, as proposed in Akbik et al., 2018.

    -__init__(model, detach=True, use_cache=False, cache_directory=None)View on GitHub#
    +__init__(model, detach=True, use_cache=False, cache_directory=None)View on GitHub#

    Initializes contextual string embeddings using a character-level language model.

    Parameters:
    @@ -581,7 +581,7 @@

    flair.embeddings.legacy
    -train(mode=True)View on GitHub#
    +train(mode=True)View on GitHub#

    Sets the module in training mode.

    This has any effect only on certain modules. See documentations of particular modules for details of their behaviors in training/evaluation @@ -621,11 +621,11 @@

    flair.embeddings.legacy
    -class flair.embeddings.legacy.DocumentMeanEmbeddings(token_embeddings)View on GitHub#
    +class flair.embeddings.legacy.DocumentMeanEmbeddings(token_embeddings)View on GitHub#

    Bases: DocumentEmbeddings

    -__init__(token_embeddings)View on GitHub#
    +__init__(token_embeddings)View on GitHub#

    The constructor takes a list of embeddings to be combined.

    Deprecated since version 0.3.1: The functionality of this class is moved to @@ -646,7 +646,7 @@

    flair.embeddings.legacy
    -embed(sentences)View on GitHub#
    +embed(sentences)View on GitHub#

    Add embeddings to every sentence in the given list of sentences. If embeddings are already added, updates only if embeddings are non-static.

    @@ -665,11 +665,11 @@

    flair.embeddings.legacy
    -class flair.embeddings.legacy.DocumentLSTMEmbeddings(embeddings, hidden_size=128, rnn_layers=1, reproject_words=True, reproject_words_dimension=None, bidirectional=False, dropout=0.5, word_dropout=0.0, locked_dropout=0.0)View on GitHub#
    +class flair.embeddings.legacy.DocumentLSTMEmbeddings(embeddings, hidden_size=128, rnn_layers=1, reproject_words=True, reproject_words_dimension=None, bidirectional=False, dropout=0.5, word_dropout=0.0, locked_dropout=0.0)View on GitHub#

    Bases: DocumentEmbeddings

    -__init__(embeddings, hidden_size=128, rnn_layers=1, reproject_words=True, reproject_words_dimension=None, bidirectional=False, dropout=0.5, word_dropout=0.0, locked_dropout=0.0)View on GitHub#
    +__init__(embeddings, hidden_size=128, rnn_layers=1, reproject_words=True, reproject_words_dimension=None, bidirectional=False, dropout=0.5, word_dropout=0.0, locked_dropout=0.0)View on GitHub#

    The constructor takes a list of embeddings to be combined.

    Parameters:
    @@ -715,7 +715,7 @@

    flair.embeddings.legacy
    -embed(sentences)View on GitHub#
    +embed(sentences)View on GitHub#

    Add embeddings to all sentences in the given list of sentences. If embeddings are already added, update only if embeddings are non-static.

    diff --git a/doc-page/api/embeddings/token.html b/master/api/embeddings/token.html similarity index 89% rename from doc-page/api/embeddings/token.html rename to master/api/embeddings/token.html index 448b00a430..40210d53a5 100644 --- a/doc-page/api/embeddings/token.html +++ b/master/api/embeddings/token.html @@ -420,7 +420,7 @@

    Versions

    @@ -488,17 +488,17 @@

    Versions

    flair.embeddings.token#

    -class flair.embeddings.token.TransformerWordEmbeddings(model='bert-base-uncased', is_document_embedding=False, allow_long_sentences=True, **kwargs)View on GitHub#
    +class flair.embeddings.token.TransformerWordEmbeddings(model='bert-base-uncased', is_document_embedding=False, allow_long_sentences=True, **kwargs)View on GitHub#

    Bases: TokenEmbeddings, TransformerEmbeddings

    -onnx_clsView on GitHub#
    +onnx_clsView on GitHub#

    alias of TransformerOnnxWordEmbeddings

    -__init__(model='bert-base-uncased', is_document_embedding=False, allow_long_sentences=True, **kwargs)View on GitHub#
    +__init__(model='bert-base-uncased', is_document_embedding=False, allow_long_sentences=True, **kwargs)View on GitHub#

    Bidirectional transformer embeddings of words from various transformer architectures.

    Parameters:
    @@ -514,7 +514,7 @@

    Versions

    -classmethod create_from_state(**state)View on GitHub#
    +classmethod create_from_state(**state)View on GitHub#
    @@ -536,12 +536,12 @@

    Versions

    -class flair.embeddings.token.StackedEmbeddings(embeddings, overwrite_names=True)View on GitHub#
    +class flair.embeddings.token.StackedEmbeddings(embeddings, overwrite_names=True)View on GitHub#

    Bases: TokenEmbeddings

    A stack of embeddings, used if you need to combine several different embedding types.

    -__init__(embeddings, overwrite_names=True)View on GitHub#
    +__init__(embeddings, overwrite_names=True)View on GitHub#

    The constructor takes a list of embeddings to be combined.

    @@ -552,7 +552,7 @@

    Versions

    -embed(sentences, static_embeddings=True)View on GitHub#
    +embed(sentences, static_embeddings=True)View on GitHub#

    Add embeddings to all words in a list of sentences.

    If embeddings are already added, updates only if embeddings are non-static.

    @@ -570,7 +570,7 @@

    Versions

    -get_names()View on GitHub#
    +get_names()View on GitHub#

    Returns a list of embedding names.

    In most cases, it is just a list with one item, namely the name of this embedding. But in some cases, the embedding is made up by different embeddings (StackedEmbedding). @@ -584,7 +584,7 @@

    Versions

    -get_named_embeddings_dict()View on GitHub#
    +get_named_embeddings_dict()View on GitHub#
    Return type:

    Dict

    @@ -594,12 +594,12 @@

    Versions

    -classmethod from_params(params)View on GitHub#
    +classmethod from_params(params)View on GitHub#
    -to_params()View on GitHub#
    +to_params()View on GitHub#
    @@ -616,12 +616,12 @@

    Versions

    -class flair.embeddings.token.WordEmbeddings(embeddings, field=None, fine_tune=False, force_cpu=True, stable=False, no_header=False, vocab=None, embedding_length=None, name=None)View on GitHub#
    +class flair.embeddings.token.WordEmbeddings(embeddings, field=None, fine_tune=False, force_cpu=True, stable=False, no_header=False, vocab=None, embedding_length=None, name=None)View on GitHub#

    Bases: TokenEmbeddings

    Standard static word embeddings, such as GloVe or FastText.

    -__init__(embeddings, field=None, fine_tune=False, force_cpu=True, stable=False, no_header=False, vocab=None, embedding_length=None, name=None)View on GitHub#
    +__init__(embeddings, field=None, fine_tune=False, force_cpu=True, stable=False, no_header=False, vocab=None, embedding_length=None, name=None)View on GitHub#

    Initializes classic word embeddings.

    Constructor downloads required files if not there.

    @@ -648,7 +648,7 @@

    Versions

    -resolve_precomputed_path(embeddings)View on GitHub#
    +resolve_precomputed_path(embeddings)View on GitHub#
    Return type:

    Optional[Path]

    @@ -664,7 +664,7 @@

    Versions

    -get_cached_token_index(word)View on GitHub#
    +get_cached_token_index(word)View on GitHub#
    Return type:

    int

    @@ -674,7 +674,7 @@

    Versions

    -get_vec(word)View on GitHub#
    +get_vec(word)View on GitHub#
    Return type:

    Tensor

    @@ -684,7 +684,7 @@

    Versions

    -extra_repr()View on GitHub#
    +extra_repr()View on GitHub#

    Set the extra representation of the module

    To print customized extra information, you should re-implement this method in your own modules. Both single-line and multi-line @@ -693,7 +693,7 @@

    Versions

    -train(mode=True)View on GitHub#
    +train(mode=True)View on GitHub#

    Sets the module in training mode.

    This has any effect only on certain modules. See documentations of particular modules for details of their behaviors in training/evaluation @@ -715,27 +715,27 @@

    Versions

    -to(device)View on GitHub#
    +to(device)View on GitHub#

    Moves and/or casts the parameters and buffers.

    This can be called as

    -to(device=None, dtype=None, non_blocking=False)View on GitHub
    +to(device=None, dtype=None, non_blocking=False)View on GitHub
    -to(dtype, non_blocking=False)View on GitHub
    +to(dtype, non_blocking=False)View on GitHub
    -to(tensor, non_blocking=False)View on GitHub
    +to(tensor, non_blocking=False)View on GitHub
    -to(memory_format=torch.channels_last)View on GitHub
    +to(memory_format=torch.channels_last)View on GitHub

    Its signature is similar to torch.Tensor.to(), but only accepts @@ -816,7 +816,7 @@

    Versions

    -classmethod from_params(params)View on GitHub#
    +classmethod from_params(params)View on GitHub#
    Return type:

    WordEmbeddings

    @@ -826,7 +826,7 @@

    Versions

    -to_params()View on GitHub#
    +to_params()View on GitHub#
    Return type:

    Dict[str, Any]

    @@ -836,7 +836,7 @@

    Versions

    -state_dict(*args, **kwargs)View on GitHub#
    +state_dict(*args, **kwargs)View on GitHub#

    Returns a dictionary containing references to the whole state of the module.

    Both parameters and persistent buffers (e.g. running averages) are included. Keys are corresponding parameter and buffer names. @@ -902,12 +902,12 @@

    Versions

    -class flair.embeddings.token.CharacterEmbeddings(path_to_char_dict=None, char_embedding_dim=25, hidden_size_char=25)View on GitHub#
    +class flair.embeddings.token.CharacterEmbeddings(path_to_char_dict=None, char_embedding_dim=25, hidden_size_char=25)View on GitHub#

    Bases: TokenEmbeddings

    Character embeddings of words, as proposed in Lample et al., 2016.

    -__init__(path_to_char_dict=None, char_embedding_dim=25, hidden_size_char=25)View on GitHub#
    +__init__(path_to_char_dict=None, char_embedding_dim=25, hidden_size_char=25)View on GitHub#

    Instantiates a bidirectional lstm layer toi encode words by their character representation.

    Uses the default character dictionary if none provided.

    @@ -925,7 +925,7 @@

    Versions

    -classmethod from_params(params)View on GitHub#
    +classmethod from_params(params)View on GitHub#
    Return type:

    CharacterEmbeddings

    @@ -935,7 +935,7 @@

    Versions

    -to_params()View on GitHub#
    +to_params()View on GitHub#
    Return type:

    Dict[str, Any]

    @@ -957,12 +957,12 @@

    Versions

    -class flair.embeddings.token.FlairEmbeddings(model, fine_tune=False, chars_per_chunk=512, with_whitespace=True, tokenized_lm=True, is_lower=False, name=None, has_decoder=False)View on GitHub#
    +class flair.embeddings.token.FlairEmbeddings(model, fine_tune=False, chars_per_chunk=512, with_whitespace=True, tokenized_lm=True, is_lower=False, name=None, has_decoder=False)View on GitHub#

    Bases: TokenEmbeddings

    Contextual string embeddings of words, as proposed in Akbik et al., 2018.

    -__init__(model, fine_tune=False, chars_per_chunk=512, with_whitespace=True, tokenized_lm=True, is_lower=False, name=None, has_decoder=False)View on GitHub#
    +__init__(model, fine_tune=False, chars_per_chunk=512, with_whitespace=True, tokenized_lm=True, is_lower=False, name=None, has_decoder=False)View on GitHub#

    Initializes contextual string embeddings using a character-level language model.

    Parameters:
    @@ -993,7 +993,7 @@

    Versions

    -train(mode=True)View on GitHub#
    +train(mode=True)View on GitHub#

    Sets the module in training mode.

    This has any effect only on certain modules. See documentations of particular modules for details of their behaviors in training/evaluation @@ -1021,12 +1021,12 @@

    Versions

    -to_params()View on GitHub#
    +to_params()View on GitHub#
    -classmethod from_params(params)View on GitHub#
    +classmethod from_params(params)View on GitHub#
    @@ -1043,7 +1043,7 @@

    Versions

    -class flair.embeddings.token.PooledFlairEmbeddings(contextual_embeddings, pooling='min', only_capitalized=False, **kwargs)View on GitHub#
    +class flair.embeddings.token.PooledFlairEmbeddings(contextual_embeddings, pooling='min', only_capitalized=False, **kwargs)View on GitHub#

    Bases: TokenEmbeddings

    @@ -1052,7 +1052,7 @@

    Versions

    -train(mode=True)View on GitHub#
    +train(mode=True)View on GitHub#

    Sets the module in training mode.

    This has any effect only on certain modules. See documentations of particular modules for details of their behaviors in training/evaluation @@ -1080,7 +1080,7 @@

    Versions

    -get_names()View on GitHub#
    +get_names()View on GitHub#

    Returns a list of embedding names.

    In most cases, it is just a list with one item, namely the name of this embedding. But in some cases, the embedding is made up by different embeddings (StackedEmbedding). @@ -1094,12 +1094,12 @@

    Versions

    -classmethod from_params(params)View on GitHub#
    +classmethod from_params(params)View on GitHub#
    -to_params()View on GitHub#
    +to_params()View on GitHub#
    @@ -1116,12 +1116,12 @@

    Versions

    -class flair.embeddings.token.FastTextEmbeddings(embeddings, use_local=True, field=None, name=None)View on GitHub#
    +class flair.embeddings.token.FastTextEmbeddings(embeddings, use_local=True, field=None, name=None)View on GitHub#

    Bases: TokenEmbeddings

    FastText Embeddings with oov functionality.

    -__init__(embeddings, use_local=True, field=None, name=None)View on GitHub#
    +__init__(embeddings, use_local=True, field=None, name=None)View on GitHub#

    Initializes fasttext word embeddings.

    Constructor downloads required embedding file and stores in cache if use_local is False.

    @@ -1149,7 +1149,7 @@

    Versions

    -get_cached_vec(word)View on GitHub#
    +get_cached_vec(word)View on GitHub#
    Return type:

    Tensor

    @@ -1159,7 +1159,7 @@

    Versions

    -extra_repr()View on GitHub#
    +extra_repr()View on GitHub#

    Set the extra representation of the module

    To print customized extra information, you should re-implement this method in your own modules. Both single-line and multi-line @@ -1168,12 +1168,12 @@

    Versions

    -classmethod from_params(params)View on GitHub#
    +classmethod from_params(params)View on GitHub#
    -to_params()View on GitHub#
    +to_params()View on GitHub#
    @@ -1190,12 +1190,12 @@

    Versions

    -class flair.embeddings.token.OneHotEmbeddings(vocab_dictionary, field='text', embedding_length=300, stable=False)View on GitHub#
    +class flair.embeddings.token.OneHotEmbeddings(vocab_dictionary, field='text', embedding_length=300, stable=False)View on GitHub#

    Bases: TokenEmbeddings

    One-hot encoded embeddings.

    -__init__(vocab_dictionary, field='text', embedding_length=300, stable=False)View on GitHub#
    +__init__(vocab_dictionary, field='text', embedding_length=300, stable=False)View on GitHub#

    Initializes one-hot encoded word embeddings and a trainable embedding layer.

    Parameters:
    @@ -1222,17 +1222,17 @@

    Versions

    -classmethod from_corpus(corpus, field='text', min_freq=3, **kwargs)View on GitHub#
    +classmethod from_corpus(corpus, field='text', min_freq=3, **kwargs)View on GitHub#
    -classmethod from_params(params)View on GitHub#
    +classmethod from_params(params)View on GitHub#
    -to_params()View on GitHub#
    +to_params()View on GitHub#
    @@ -1249,7 +1249,7 @@

    Versions

    -class flair.embeddings.token.HashEmbeddings(num_embeddings=1000, embedding_length=300, hash_method='md5')View on GitHub#
    +class flair.embeddings.token.HashEmbeddings(num_embeddings=1000, embedding_length=300, hash_method='md5')View on GitHub#

    Bases: TokenEmbeddings

    Standard embeddings with Hashing Trick.

    @@ -1270,12 +1270,12 @@

    Versions

    -classmethod from_params(params)View on GitHub#
    +classmethod from_params(params)View on GitHub#
    -to_params()View on GitHub#
    +to_params()View on GitHub#
    @@ -1292,7 +1292,7 @@

    Versions

    -class flair.embeddings.token.MuseCrosslingualEmbeddingsView on GitHub#
    +class flair.embeddings.token.MuseCrosslingualEmbeddingsView on GitHub#

    Bases: TokenEmbeddings

    @@ -1301,7 +1301,7 @@

    Versions

    -get_cached_vec(language_code, word)View on GitHub#
    +get_cached_vec(language_code, word)View on GitHub#
    Return type:

    Tensor

    @@ -1317,12 +1317,12 @@

    Versions

    -classmethod from_params(params)View on GitHub#
    +classmethod from_params(params)View on GitHub#
    -to_params()View on GitHub#
    +to_params()View on GitHub#
    @@ -1339,11 +1339,11 @@

    Versions

    -class flair.embeddings.token.BytePairEmbeddings(language=None, dim=50, syllables=100000, cache_dir=None, model_file_path=None, embedding_file_path=None, name=None, **kwargs)View on GitHub#
    +class flair.embeddings.token.BytePairEmbeddings(language=None, dim=50, syllables=100000, cache_dir=None, model_file_path=None, embedding_file_path=None, name=None, **kwargs)View on GitHub#

    Bases: TokenEmbeddings

    -__init__(language=None, dim=50, syllables=100000, cache_dir=None, model_file_path=None, embedding_file_path=None, name=None, **kwargs)View on GitHub#
    +__init__(language=None, dim=50, syllables=100000, cache_dir=None, model_file_path=None, embedding_file_path=None, name=None, **kwargs)View on GitHub#

    Initializes BP embeddings.

    Constructor downloads required files if not there.

    @@ -1371,7 +1371,7 @@

    Versions

    -extra_repr()View on GitHub#
    +extra_repr()View on GitHub#

    Set the extra representation of the module

    To print customized extra information, you should re-implement this method in your own modules. Both single-line and multi-line @@ -1380,19 +1380,19 @@

    Versions

    -classmethod from_params(params)View on GitHub#
    +classmethod from_params(params)View on GitHub#
    -to_params()View on GitHub#
    +to_params()View on GitHub#
    -class flair.embeddings.token.NILCEmbeddings(embeddings, model='skip', size=100)View on GitHub#
    +class flair.embeddings.token.NILCEmbeddings(embeddings, model='skip', size=100)View on GitHub#

    Bases: WordEmbeddings

    @@ -1416,7 +1416,7 @@

    Versions

    -__init__(embeddings, model='skip', size=100)View on GitHub#
    +__init__(embeddings, model='skip', size=100)View on GitHub#

    Initializes portuguese classic word embeddings trained by NILC Lab.

    See: http://www.nilc.icmc.usp.br/embeddings Constructor downloads required files if not there.

    @@ -1433,7 +1433,7 @@

    Versions

    -classmethod from_params(params)View on GitHub#
    +classmethod from_params(params)View on GitHub#
    Return type:

    WordEmbeddings

    diff --git a/doc-page/api/embeddings/transformer.html b/master/api/embeddings/transformer.html similarity index 87% rename from doc-page/api/embeddings/transformer.html rename to master/api/embeddings/transformer.html index 9ce2d83601..5a4c49ce99 100644 --- a/doc-page/api/embeddings/transformer.html +++ b/master/api/embeddings/transformer.html @@ -420,7 +420,7 @@

    Versions

    @@ -488,7 +488,7 @@

    Versions

    flair.embeddings.transformer#

    -flair.embeddings.transformer.pad_sequence_embeddings(all_hidden_states)View on GitHub#
    +flair.embeddings.transformer.pad_sequence_embeddings(all_hidden_states)View on GitHub#
    Return type:

    Tensor

    @@ -498,7 +498,7 @@

    Versions

    -flair.embeddings.transformer.truncate_hidden_states(hidden_states, input_ids)View on GitHub#
    +flair.embeddings.transformer.truncate_hidden_states(hidden_states, input_ids)View on GitHub#
    Return type:

    Tensor

    @@ -508,7 +508,7 @@

    Versions

    -flair.embeddings.transformer.combine_strided_tensors(hidden_states, overflow_to_sample_mapping, half_stride, max_length, default_value)View on GitHub#
    +flair.embeddings.transformer.combine_strided_tensors(hidden_states, overflow_to_sample_mapping, half_stride, max_length, default_value)View on GitHub#
    Return type:

    Tensor

    @@ -518,12 +518,12 @@

    Versions

    -flair.embeddings.transformer.fill_masked_elements(all_token_embeddings, sentence_hidden_states, mask, word_ids, lengths)View on GitHub#
    +flair.embeddings.transformer.fill_masked_elements(all_token_embeddings, sentence_hidden_states, mask, word_ids, lengths)View on GitHub#
    -flair.embeddings.transformer.insert_missing_embeddings(token_embeddings, word_id, length)View on GitHub#
    +flair.embeddings.transformer.insert_missing_embeddings(token_embeddings, word_id, length)View on GitHub#
    Return type:

    Tensor

    @@ -533,27 +533,27 @@

    Versions

    -flair.embeddings.transformer.fill_mean_token_embeddings(all_token_embeddings, sentence_hidden_states, word_ids, token_lengths)View on GitHub#
    +flair.embeddings.transformer.fill_mean_token_embeddings(all_token_embeddings, sentence_hidden_states, word_ids, token_lengths)View on GitHub#
    -flair.embeddings.transformer.document_mean_pooling(sentence_hidden_states, sentence_lengths)View on GitHub#
    +flair.embeddings.transformer.document_mean_pooling(sentence_hidden_states, sentence_lengths)View on GitHub#
    -flair.embeddings.transformer.document_max_pooling(sentence_hidden_states, sentence_lengths)View on GitHub#
    +flair.embeddings.transformer.document_max_pooling(sentence_hidden_states, sentence_lengths)View on GitHub#
    -flair.embeddings.transformer.remove_special_markup(text)View on GitHub#
    +flair.embeddings.transformer.remove_special_markup(text)View on GitHub#
    -class flair.embeddings.transformer.TransformerBaseEmbeddings(name, tokenizer, embedding_length, context_length, context_dropout, respect_document_boundaries, stride, allow_long_sentences, fine_tune, truncate, use_lang_emb, is_document_embedding=False, is_token_embedding=False, force_device=None, force_max_length=False, feature_extractor=None, needs_manual_ocr=None, use_context_separator=True)View on GitHub#
    +class flair.embeddings.transformer.TransformerBaseEmbeddings(name, tokenizer, embedding_length, context_length, context_dropout, respect_document_boundaries, stride, allow_long_sentences, fine_tune, truncate, use_lang_emb, cls_pooling, is_document_embedding=False, is_token_embedding=False, force_device=None, force_max_length=False, feature_extractor=None, needs_manual_ocr=None, use_context_separator=True)View on GitHub#

    Bases: Embeddings[Sentence]

    Base class for all TransformerEmbeddings.

    This base class handles the tokenizer and the input preparation, however it won’t implement the actual model. @@ -565,22 +565,22 @@

    Versions

    -to_args()View on GitHub#
    +to_args()View on GitHub#
    -classmethod from_params(params)View on GitHub#
    +classmethod from_params(params)View on GitHub#
    -to_params()View on GitHub#
    +to_params()View on GitHub#
    -classmethod create_from_state(**state)View on GitHub#
    +classmethod create_from_state(**state)View on GitHub#
    @@ -596,7 +596,7 @@

    Versions

    -prepare_tensors(sentences, device=None)View on GitHub#
    +prepare_tensors(sentences, device=None)View on GitHub#
    @@ -613,16 +613,16 @@

    Versions

    -class flair.embeddings.transformer.TransformerOnnxEmbeddings(onnx_model, providers=[], **kwargs)View on GitHub#
    +class flair.embeddings.transformer.TransformerOnnxEmbeddings(onnx_model, providers=[], session_options=None, **kwargs)View on GitHub#

    Bases: TransformerBaseEmbeddings

    -to_params()View on GitHub#
    +to_params()View on GitHub#
    -classmethod from_params(params)View on GitHub#
    +classmethod from_params(params)View on GitHub#
    Return type:

    TransformerOnnxEmbeddings

    @@ -632,33 +632,33 @@

    Versions

    -create_session()View on GitHub#
    +create_session()View on GitHub#
    -remove_session()View on GitHub#
    +remove_session()View on GitHub#
    -optimize_model(optimize_model_path, use_external_data_format=False, **kwargs)View on GitHub#
    +optimize_model(optimize_model_path, use_external_data_format=False, **kwargs)View on GitHub#

    Wrapper for onnxruntime.transformers.optimizer.optimize_model.

    -quantize_model(quantize_model_path, use_external_data_format=False, **kwargs)View on GitHub#
    +quantize_model(quantize_model_path, use_external_data_format=False, **kwargs)View on GitHub#
    -classmethod collect_dynamic_axes(embedding, tensors)View on GitHub#
    +classmethod collect_dynamic_axes(embedding, tensors)View on GitHub#
    -classmethod export_from_embedding(path, embedding, example_sentences, opset_version=14, providers=None)View on GitHub#
    +classmethod export_from_embedding(path, embedding, example_sentences, opset_version=14, providers=None, session_options=None)View on GitHub#
    @@ -685,16 +685,16 @@

    Versions

    -class flair.embeddings.transformer.TransformerJitEmbeddings(jit_model, param_names, **kwargs)View on GitHub#
    +class flair.embeddings.transformer.TransformerJitEmbeddings(jit_model, param_names, **kwargs)View on GitHub#

    Bases: TransformerBaseEmbeddings

    -to_params()View on GitHub#
    +to_params()View on GitHub#
    -classmethod from_params(params)View on GitHub#
    +classmethod from_params(params)View on GitHub#
    Return type:

    Embeddings

    @@ -704,12 +704,12 @@

    Versions

    -classmethod create_from_embedding(module, embedding, param_names)View on GitHub#
    +classmethod create_from_embedding(module, embedding, param_names)View on GitHub#
    -classmethod parameter_to_list(embedding, wrapper, sentences)View on GitHub#
    +classmethod parameter_to_list(embedding, wrapper, sentences)View on GitHub#
    Return type:

    Tuple[List[str], List[Tensor]]

    @@ -741,7 +741,7 @@

    Versions

    -class flair.embeddings.transformer.TransformerJitWordEmbeddings(**kwargs)View on GitHub#
    +class flair.embeddings.transformer.TransformerJitWordEmbeddings(**kwargs)View on GitHub#

    Bases: TokenEmbeddings, TransformerJitEmbeddings

    @@ -762,7 +762,7 @@

    Versions

    -class flair.embeddings.transformer.TransformerJitDocumentEmbeddings(**kwargs)View on GitHub#
    +class flair.embeddings.transformer.TransformerJitDocumentEmbeddings(**kwargs)View on GitHub#

    Bases: DocumentEmbeddings, TransformerJitEmbeddings

    @@ -783,7 +783,7 @@

    Versions

    -class flair.embeddings.transformer.TransformerOnnxWordEmbeddings(**kwargs)View on GitHub#
    +class flair.embeddings.transformer.TransformerOnnxWordEmbeddings(**kwargs)View on GitHub#

    Bases: TokenEmbeddings, TransformerOnnxEmbeddings

    @@ -804,7 +804,7 @@

    Versions

    -class flair.embeddings.transformer.TransformerOnnxDocumentEmbeddings(**kwargs)View on GitHub#
    +class flair.embeddings.transformer.TransformerOnnxDocumentEmbeddings(**kwargs)View on GitHub#

    Bases: DocumentEmbeddings, TransformerOnnxEmbeddings

    @@ -825,25 +825,25 @@

    Versions

    -class flair.embeddings.transformer.TransformerEmbeddings(model='bert-base-uncased', fine_tune=True, layers='-1', layer_mean=True, subtoken_pooling='first', cls_pooling='cls', is_token_embedding=True, is_document_embedding=True, allow_long_sentences=False, use_context=False, respect_document_boundaries=True, context_dropout=0.5, saved_config=None, tokenizer_data=None, feature_extractor_data=None, name=None, force_max_length=False, needs_manual_ocr=None, use_context_separator=True, **kwargs)View on GitHub#
    +class flair.embeddings.transformer.TransformerEmbeddings(model='bert-base-uncased', fine_tune=True, layers='-1', layer_mean=True, subtoken_pooling='first', cls_pooling='cls', is_token_embedding=True, is_document_embedding=True, allow_long_sentences=False, use_context=False, respect_document_boundaries=True, context_dropout=0.5, saved_config=None, tokenizer_data=None, feature_extractor_data=None, name=None, force_max_length=False, needs_manual_ocr=None, use_context_separator=True, **kwargs)View on GitHub#

    Bases: TransformerBaseEmbeddings

    -onnx_clsView on GitHub#
    +onnx_clsView on GitHub#

    alias of TransformerOnnxEmbeddings

    +
    +
    +embeddings_name: str = 'TransformerEmbeddings'#
    +
    +
    property embedding_length: int#

    Returns the length of the embedding vector.

    -
    -
    -embeddings_name: str = 'TransformerEmbeddings'#
    -
    -
    property embedding_type: str#
    @@ -851,17 +851,17 @@

    Versions

    -classmethod from_params(params)View on GitHub#
    +classmethod from_params(params)View on GitHub#
    -to_params()View on GitHub#
    +to_params()View on GitHub#
    -forward(input_ids, sub_token_lengths=None, token_lengths=None, attention_mask=None, overflow_to_sample_mapping=None, word_ids=None, langs=None, bbox=None, pixel_values=None)View on GitHub#
    +forward(input_ids, sub_token_lengths=None, token_lengths=None, attention_mask=None, overflow_to_sample_mapping=None, word_ids=None, langs=None, bbox=None, pixel_values=None)View on GitHub#

    Defines the computation performed at every call.

    Should be overridden by all subclasses.

    @@ -875,7 +875,7 @@

    Versions

    -export_onnx(path, example_sentences, **kwargs)View on GitHub#
    +export_onnx(path, example_sentences, **kwargs)View on GitHub#

    Export TransformerEmbeddings to OnnxFormat.

    Parameters:
    @@ -1015,8 +1015,8 @@

    Versions

  • TransformerEmbeddings
    • TransformerEmbeddings.onnx_cls
      • -
    • TransformerEmbeddings.embedding_length
    • TransformerEmbeddings.embeddings_name
      • +
    • TransformerEmbeddings.embedding_length
    • TransformerEmbeddings.embedding_type
    • TransformerEmbeddings.from_params()
    • TransformerEmbeddings.to_params()
      • diff --git a/doc-page/api/flair.data.html b/master/api/flair.data.html similarity index 87% rename from doc-page/api/flair.data.html rename to master/api/flair.data.html index 07c3d2e5c9..2cd7a6f4b6 100644 --- a/doc-page/api/flair.data.html +++ b/master/api/flair.data.html @@ -431,7 +431,7 @@

      Versions

      @@ -496,7 +496,7 @@

      Versions

      flair.data#

      -class flair.data.BoundingBox(left, top, right, bottom)View on GitHub#
      +class flair.data.BoundingBox(left, top, right, bottom)View on GitHub#

      Bases: tuple

      @@ -526,17 +526,17 @@

      Versions

      -class flair.data.Dictionary(add_unk=True)View on GitHub#
      +class flair.data.Dictionary(add_unk=True)View on GitHub#

      Bases: object

      This class holds a dictionary that maps strings to IDs, used to generate one-hot encodings of strings.

      -remove_item(item)View on GitHub#
      +remove_item(item)View on GitHub#
      -add_item(item)View on GitHub#
      +add_item(item)View on GitHub#

      Add string - if already in dictionary returns its ID. if not in dictionary, it will get a new ID.

      Parameters:
      @@ -551,7 +551,7 @@

      Versions

      -get_idx_for_item(item)View on GitHub#
      +get_idx_for_item(item)View on GitHub#

      Returns the ID of the string, otherwise 0.

      Parameters:
      @@ -566,7 +566,7 @@

      Versions

      -get_idx_for_items(items)View on GitHub#
      +get_idx_for_items(items)View on GitHub#

      Returns the IDs for each item of the list of string, otherwise 0 if not found.

      Parameters:
      @@ -581,7 +581,7 @@

      Versions

      -get_items()View on GitHub#
      +get_items()View on GitHub#
      Return type:

      List[str]

      @@ -591,17 +591,17 @@

      Versions

      -get_item_for_index(idx)View on GitHub#
      +get_item_for_index(idx)View on GitHub#
      -set_start_stop_tags()View on GitHub#
      +set_start_stop_tags()View on GitHub#
      -is_span_prediction_problem()View on GitHub#
      +is_span_prediction_problem()View on GitHub#
      Return type:

      bool

      @@ -611,7 +611,7 @@

      Versions

      -start_stop_tags_are_set()View on GitHub#
      +start_stop_tags_are_set()View on GitHub#
      Return type:

      bool

      @@ -621,31 +621,31 @@

      Versions

      -save(savefile)View on GitHub#
      +save(savefile)View on GitHub#
      -classmethod load_from_file(filename)View on GitHub#
      +classmethod load_from_file(filename)View on GitHub#
      -classmethod load(name)View on GitHub#
      +classmethod load(name)View on GitHub#
      -class flair.data.Label(data_point, value, score=1.0)View on GitHub#
      +class flair.data.Label(data_point, value, score=1.0)View on GitHub#

      Bases: object

      This class represents a label.

      Each label has a value and optionally a confidence score. The score needs to be between 0.0 and 1.0. Default value for the score is 1.0.

      -set_value(value, score=1.0)View on GitHub#
      +set_value(value, score=1.0)View on GitHub#
      @@ -660,7 +660,7 @@

      Versions

      -to_dict()View on GitHub#
      +to_dict()View on GitHub#
      @@ -682,7 +682,7 @@

      Versions

      -class flair.data.DataPointView on GitHub#
      +class flair.data.DataPointView on GitHub#

      Bases: object

      This is the parent class of all data points in Flair.

      Examples for data points are Token, Sentence, Image, etc. @@ -696,12 +696,12 @@

      Versions

      -set_embedding(name, vector)View on GitHub#
      +set_embedding(name, vector)View on GitHub#
      -get_embedding(names=None)View on GitHub#
      +get_embedding(names=None)View on GitHub#
      Return type:

      Tensor

      @@ -711,7 +711,7 @@

      Versions

      -get_each_embedding(embedding_names=None)View on GitHub#
      +get_each_embedding(embedding_names=None)View on GitHub#
      Return type:

      List[Tensor]

      @@ -721,17 +721,17 @@

      Versions

      -to(device, pin_memory=False)View on GitHub#
      +to(device, pin_memory=False)View on GitHub#
      -clear_embeddings(embedding_names=None)View on GitHub#
      +clear_embeddings(embedding_names=None)View on GitHub#
      -has_label(type)View on GitHub#
      +has_label(type)View on GitHub#
      Return type:

      bool

      @@ -741,7 +741,7 @@

      Versions

      -add_metadata(key, value)View on GitHub#
      +add_metadata(key, value)View on GitHub#
      Return type:

      None

      @@ -751,7 +751,7 @@

      Versions

      -get_metadata(key)View on GitHub#
      +get_metadata(key)View on GitHub#
      Return type:

      Any

      @@ -761,7 +761,7 @@

      Versions

      -has_metadata(key)View on GitHub#
      +has_metadata(key)View on GitHub#
      Return type:

      bool

      @@ -771,27 +771,27 @@

      Versions

      -add_label(typename, value, score=1.0)View on GitHub#
      +add_label(typename, value, score=1.0)View on GitHub#
      -set_label(typename, value, score=1.0)View on GitHub#
      +set_label(typename, value, score=1.0)View on GitHub#
      -remove_labels(typename)View on GitHub#
      +remove_labels(typename)View on GitHub#
      -get_label(label_type=None, zero_tag_value='O')View on GitHub#
      +get_label(label_type=None, zero_tag_value='O')View on GitHub#
      -get_labels(typename=None)View on GitHub#
      +get_labels(typename=None)View on GitHub#
      @@ -833,7 +833,7 @@

      Versions

      -class flair.data.Token(text, head_id=None, whitespace_after=1, start_position=0, sentence=None)View on GitHub#
      +class flair.data.Token(text, head_id=None, whitespace_after=1, start_position=0, sentence=None)View on GitHub#

      Bases: _PartOfSentence

      This class represents one word in a tokenized sentence.

      Each token may have any number of tags. It may also point to its head in a dependency tree.

      @@ -854,12 +854,12 @@

      Versions

      -add_tags_proba_dist(tag_type, tags)View on GitHub#
      +add_tags_proba_dist(tag_type, tags)View on GitHub#
      -get_tags_proba_dist(tag_type)View on GitHub#
      +get_tags_proba_dist(tag_type)View on GitHub#
      Return type:

      List[Label]

      @@ -869,7 +869,7 @@

      Versions

      -get_head()View on GitHub#
      +get_head()View on GitHub#
      @@ -889,24 +889,24 @@

      Versions

      -add_label(typename, value, score=1.0)View on GitHub#
      +add_label(typename, value, score=1.0)View on GitHub#
      -set_label(typename, value, score=1.0)View on GitHub#
      +set_label(typename, value, score=1.0)View on GitHub#
      -to_dict(tag_type=None)View on GitHub#
      +to_dict(tag_type=None)View on GitHub#
      -class flair.data.Span(tokens)View on GitHub#
      +class flair.data.Span(tokens)View on GitHub#

      Bases: _PartOfSentence

      This class represents one textual span consisting of Tokens.

      @@ -936,14 +936,14 @@

      Versions

      -to_dict(tag_type=None)View on GitHub#
      +to_dict(tag_type=None)View on GitHub#
      -class flair.data.Relation(first, second)View on GitHub#
      +class flair.data.Relation(first, second)View on GitHub#

      Bases: _PartOfSentence

      @@ -977,19 +977,19 @@

      Versions

      -to_dict(tag_type=None)View on GitHub#
      +to_dict(tag_type=None)View on GitHub#
      -class flair.data.Sentence(text, use_tokenizer=True, language_code=None, start_position=0)View on GitHub#
      +class flair.data.Sentence(text, use_tokenizer=True, language_code=None, start_position=0)View on GitHub#

      Bases: DataPoint

      A Sentence is a list of tokens and is used to represent a sentence or text fragment.

      -__init__(text, use_tokenizer=True, language_code=None, start_position=0)View on GitHub#
      +__init__(text, use_tokenizer=True, language_code=None, start_position=0)View on GitHub#

      Class to hold all metadata related to a text.

      Metadata can be tokens, labels, predictions, language code, etc.

      @@ -1015,7 +1015,7 @@

      Versions

      -get_relations(label_type=None)View on GitHub#
      +get_relations(label_type=None)View on GitHub#
      Return type:

      List[Relation]

      @@ -1025,7 +1025,7 @@

      Versions

      -get_spans(label_type=None)View on GitHub#
      +get_spans(label_type=None)View on GitHub#
      Return type:

      List[Span]

      @@ -1035,7 +1035,7 @@

      Versions

      -get_token(token_id)View on GitHub#
      +get_token(token_id)View on GitHub#
      Return type:

      Optional[Token]

      @@ -1050,17 +1050,17 @@

      Versions

      -to(device, pin_memory=False)View on GitHub#
      +to(device, pin_memory=False)View on GitHub#
      -clear_embeddings(embedding_names=None)View on GitHub#
      +clear_embeddings(embedding_names=None)View on GitHub#
      -left_context(context_length, respect_document_boundaries=True)View on GitHub#
      +left_context(context_length, respect_document_boundaries=True)View on GitHub#
      Return type:

      List[Token]

      @@ -1070,7 +1070,7 @@

      Versions

      -right_context(context_length, respect_document_boundaries=True)View on GitHub#
      +right_context(context_length, respect_document_boundaries=True)View on GitHub#
      Return type:

      List[Token]

      @@ -1080,7 +1080,7 @@

      Versions

      -to_tagged_string(main_label=None)View on GitHub#
      +to_tagged_string(main_label=None)View on GitHub#
      Return type:

      str

      @@ -1095,7 +1095,7 @@

      Versions

      -to_tokenized_string()View on GitHub#
      +to_tokenized_string()View on GitHub#
      Return type:

      str

      @@ -1105,12 +1105,12 @@

      Versions

      -to_plain_string()View on GitHub#
      +to_plain_string()View on GitHub#
      -infer_space_after()View on GitHub#
      +infer_space_after()View on GitHub#

      Heuristics in case you wish to infer whitespace_after values for tokenized text.

      This is useful for some old NLP tasks (such as CoNLL-03 and CoNLL-2000) that provide only tokenized data with no info of original whitespacing. @@ -1119,7 +1119,7 @@

      Versions

      -to_original_text()View on GitHub#
      +to_original_text()View on GitHub#
      Return type:

      str

      @@ -1129,12 +1129,12 @@

      Versions

      -to_dict(tag_type=None)View on GitHub#
      +to_dict(tag_type=None)View on GitHub#
      -get_span(start, stop)View on GitHub#
      +get_span(start, stop)View on GitHub#
      @@ -1149,7 +1149,7 @@

      Versions

      -get_language_code()View on GitHub#
      +get_language_code()View on GitHub#
      Return type:

      str

      @@ -1159,7 +1159,7 @@

      Versions

      -next_sentence()View on GitHub#
      +next_sentence()View on GitHub#

      Get the next sentence in the document.

      This only works if context is set through dataloader or elsewhere :return: next Sentence in document if set, otherwise None

      @@ -1167,7 +1167,7 @@

      Versions

      -previous_sentence()View on GitHub#
      +previous_sentence()View on GitHub#

      Get the previous sentence in the document.

      works only if context is set through dataloader or elsewhere :return: previous Sentence in document if set, otherwise None

      @@ -1175,7 +1175,7 @@

      Versions

      -is_context_set()View on GitHub#
      +is_context_set()View on GitHub#

      Determines if this sentence has a context of sentences before or after set.

      Return True or False depending on whether context is set (for instance in dataloader or elsewhere) :rtype: bool @@ -1184,7 +1184,7 @@

      Versions

      -copy_context_from_sentence(sentence)View on GitHub#
      +copy_context_from_sentence(sentence)View on GitHub#
      Return type:

      None

      @@ -1194,7 +1194,7 @@

      Versions

      -classmethod set_context_for_sentences(sentences)View on GitHub#
      +classmethod set_context_for_sentences(sentences)View on GitHub#
      Return type:

      None

      @@ -1204,28 +1204,28 @@

      Versions

      -get_labels(label_type=None)View on GitHub#
      +get_labels(label_type=None)View on GitHub#
      -remove_labels(typename)View on GitHub#
      +remove_labels(typename)View on GitHub#
      -class flair.data.DataPair(first, second)View on GitHub#
      +class flair.data.DataPair(first, second)View on GitHub#

      Bases: DataPoint, Generic[DT, DT2]

      -to(device, pin_memory=False)View on GitHub#
      +to(device, pin_memory=False)View on GitHub#
      -clear_embeddings(embedding_names=None)View on GitHub#
      +clear_embeddings(embedding_names=None)View on GitHub#
      @@ -1257,7 +1257,7 @@

      Versions

      -class flair.data.Image(data=None, imageURL=None)View on GitHub#
      +class flair.data.Image(data=None, imageURL=None)View on GitHub#

      Bases: DataPoint

      @@ -1288,7 +1288,7 @@

      Versions

      -class flair.data.Corpus(train=None, dev=None, test=None, name='corpus', sample_missing_splits=True)View on GitHub#
      +class flair.data.Corpus(train=None, dev=None, test=None, name='corpus', sample_missing_splits=True)View on GitHub#

      Bases: Generic[T_co]

      @@ -1307,22 +1307,22 @@

      Versions

      -downsample(percentage=0.1, downsample_train=True, downsample_dev=True, downsample_test=True)View on GitHub#
      +downsample(percentage=0.1, downsample_train=True, downsample_dev=True, downsample_test=True)View on GitHub#
      -filter_empty_sentences()View on GitHub#
      +filter_empty_sentences()View on GitHub#
      -filter_long_sentences(max_charlength)View on GitHub#
      +filter_long_sentences(max_charlength)View on GitHub#
      -make_vocab_dictionary(max_tokens=-1, min_freq=1)View on GitHub#
      +make_vocab_dictionary(max_tokens=-1, min_freq=1)View on GitHub#

      Creates a dictionary of all tokens contained in the corpus.

      By defining max_tokens you can set the maximum number of tokens that should be contained in the dictionary. If there are more than max_tokens tokens in the corpus, the most frequent tokens are added first. @@ -1344,7 +1344,7 @@

      Versions

      -obtain_statistics(label_type=None, pretty_print=True)View on GitHub#
      +obtain_statistics(label_type=None, pretty_print=True)View on GitHub#

      Print statistics about the class distribution and sentence sizes.

      only labels of sentences are taken into account

      @@ -1356,7 +1356,7 @@

      Versions

      -make_label_dictionary(label_type, min_count=-1, add_unk=False, add_dev_test=False)View on GitHub#
      +make_label_dictionary(label_type, min_count=-1, add_unk=False, add_dev_test=False)View on GitHub#

      Creates a dictionary of all labels assigned to the sentences in the corpus.

      Return type:
      @@ -1370,7 +1370,7 @@

      Versions

      -add_label_noise(label_type, labels, noise_share=0.2, split='train', noise_transition_matrix=None)View on GitHub#
      +add_label_noise(label_type, labels, noise_share=0.2, split='train', noise_transition_matrix=None)View on GitHub#

      Generates uniform label noise distribution in the chosen dataset split.

      Parameters:
      @@ -1388,12 +1388,12 @@

      Versions

      -get_label_distribution()View on GitHub#
      +get_label_distribution()View on GitHub#
      -get_all_sentences()View on GitHub#
      +get_all_sentences()View on GitHub#
      Return type:

      ConcatDataset

      @@ -1403,7 +1403,7 @@

      Versions

      -make_tag_dictionary(tag_type)View on GitHub#
      +make_tag_dictionary(tag_type)View on GitHub#

      Create a tag dictionary of a given label type.

      Parameters:
      @@ -1423,17 +1423,17 @@

      Versions

      -class flair.data.MultiCorpus(corpora, task_ids=None, name='multicorpus', **corpusargs)View on GitHub#
      +class flair.data.MultiCorpus(corpora, task_ids=None, name='multicorpus', **corpusargs)View on GitHub#

      Bases: Corpus

      -class flair.data.FlairDataset(*args, **kwds)View on GitHub#
      +class flair.data.FlairDataset(*args, **kwds)View on GitHub#

      Bases: Dataset

      -abstract is_in_memory()View on GitHub#
      +abstract is_in_memory()View on GitHub#
      Return type:

      bool

      @@ -1445,7 +1445,7 @@

      Versions

      -class flair.data.ConcatFlairDataset(datasets, ids)View on GitHub#
      +class flair.data.ConcatFlairDataset(datasets, ids)View on GitHub#

      Bases: Dataset

      Dataset as a concatenation of multiple datasets.

      This class is useful to assemble different existing datasets.

      @@ -1456,7 +1456,7 @@

      Versions

      -static cumsum(sequence)View on GitHub#
      +static cumsum(sequence)View on GitHub#
      @@ -1478,7 +1478,7 @@

      Versions

      -flair.data.iob2(tags)View on GitHub#
      +flair.data.iob2(tags)View on GitHub#

      Converts the tags to the IOB2 format.

      Check that tags have a valid IOB format. Tags in IOB1 format are converted to IOB2.

      @@ -1486,12 +1486,12 @@

      Versions

      -flair.data.randomly_split_into_two_datasets(dataset, length_of_first)View on GitHub#
      +flair.data.randomly_split_into_two_datasets(dataset, length_of_first)View on GitHub#
      -flair.data.get_spans_from_bio(bioes_tags, bioes_scores=None)View on GitHub#
      +flair.data.get_spans_from_bio(bioes_tags, bioes_scores=None)View on GitHub#
      Return type:

      List[Tuple[List[int], float, str]]

      diff --git a/doc-page/api/flair.datasets.html b/master/api/flair.datasets.html similarity index 99% rename from doc-page/api/flair.datasets.html rename to master/api/flair.datasets.html index fd5726125f..8d6ff47fb5 100644 --- a/doc-page/api/flair.datasets.html +++ b/master/api/flair.datasets.html @@ -424,7 +424,7 @@

      Versions

      diff --git a/doc-page/api/flair.embeddings.html b/master/api/flair.embeddings.html similarity index 99% rename from doc-page/api/flair.embeddings.html rename to master/api/flair.embeddings.html index 2f504eac21..ce54485319 100644 --- a/doc-page/api/flair.embeddings.html +++ b/master/api/flair.embeddings.html @@ -420,7 +420,7 @@

      Versions

      diff --git a/doc-page/api/flair.html b/master/api/flair.html similarity index 97% rename from doc-page/api/flair.html rename to master/api/flair.html index 7117b5ce31..cbb2b96897 100644 --- a/doc-page/api/flair.html +++ b/master/api/flair.html @@ -419,7 +419,7 @@

      Versions

      @@ -507,7 +507,7 @@

      Versions

      -flair.set_seed(seed)View on GitHub#
      +flair.set_seed(seed)View on GitHub#

      Set the seed for all random generators used in training.

      Use this method to guarantee reproducibility of experiments.

      @@ -519,7 +519,7 @@

      Versions

      -flair.set_proxies(proxies)View on GitHub#
      +flair.set_proxies(proxies)View on GitHub#

      Allows for data downloaded from urls to be forwarded to a proxy.

      see https://requests.readthedocs.io/en/latest/user/advanced/#proxies

      diff --git a/doc-page/api/flair.models.html b/master/api/flair.models.html similarity index 90% rename from doc-page/api/flair.models.html rename to master/api/flair.models.html index f4964dc2e1..ea78240ae4 100644 --- a/doc-page/api/flair.models.html +++ b/master/api/flair.models.html @@ -432,7 +432,7 @@

      Versions

      @@ -497,7 +497,7 @@

      Versions

      flair.models#

      -class flair.models.SpanClassifier(embeddings, label_dictionary, pooling_operation='first_last', label_type='nel', candidates=None, **classifierargs)View on GitHub#
      +class flair.models.SpanClassifier(embeddings, label_dictionary, pooling_operation='first_last', label_type='nel', candidates=None, **classifierargs)View on GitHub#

      Bases: DefaultClassifier[Sentence, Span]

      Entity Linking Model.

      The model expects text/sentences with annotated entity mentions and predicts entities to these mentions. @@ -505,7 +505,7 @@

      Versions

      The model is able to predict ‘<unk>’ for entity mentions that the model can not confidently match to any of the known labels.

      -__init__(embeddings, label_dictionary, pooling_operation='first_last', label_type='nel', candidates=None, **classifierargs)View on GitHub#
      +__init__(embeddings, label_dictionary, pooling_operation='first_last', label_type='nel', candidates=None, **classifierargs)View on GitHub#

      Initializes an EntityLinker.

      Parameters:
      @@ -526,22 +526,22 @@

      Versions

      -emb_first(span, embedding_names)View on GitHub#
      +emb_first(span, embedding_names)View on GitHub#
      -emb_last(span, embedding_names)View on GitHub#
      +emb_last(span, embedding_names)View on GitHub#
      -emb_firstAndLast(span, embedding_names)View on GitHub#
      +emb_firstAndLast(span, embedding_names)View on GitHub#
      -emb_mean(span, embedding_names)View on GitHub#
      +emb_mean(span, embedding_names)View on GitHub#
      @@ -552,7 +552,7 @@

      Versions

      -classmethod load(model_path)View on GitHub#
      +classmethod load(model_path)View on GitHub#

      Loads the model from the given file.

      Parameters:
      @@ -569,22 +569,22 @@

      Versions

      -class flair.models.LanguageModel(dictionary, is_forward_lm, hidden_size, nlayers, embedding_size=100, nout=None, document_delimiter='\\n', dropout=0.1, recurrent_type='LSTM', has_decoder=True)View on GitHub#
      +class flair.models.LanguageModel(dictionary, is_forward_lm, hidden_size, nlayers, embedding_size=100, nout=None, document_delimiter='\\n', dropout=0.1, recurrent_type='LSTM', has_decoder=True)View on GitHub#

      Bases: Module

      Container module with an encoder, a recurrent module, and a decoder.

      -init_weights()View on GitHub#
      +init_weights()View on GitHub#
      -set_hidden(hidden)View on GitHub#
      +set_hidden(hidden)View on GitHub#
      -forward(input, hidden, ordered_sequence_lengths=None, decode=True)View on GitHub#
      +forward(input, hidden, ordered_sequence_lengths=None, decode=True)View on GitHub#

      Defines the computation performed at every call.

      Should be overridden by all subclasses.

      @@ -598,53 +598,53 @@

      Versions

      -init_hidden(bsz)View on GitHub#
      +init_hidden(bsz)View on GitHub#
      -get_representation(strings, start_marker, end_marker, chars_per_chunk=512)View on GitHub#
      +get_representation(strings, start_marker, end_marker, chars_per_chunk=512)View on GitHub#
      -get_output(text)View on GitHub#
      +get_output(text)View on GitHub#
      -repackage_hidden(h)View on GitHub#
      +repackage_hidden(h)View on GitHub#

      Wraps hidden states in new Variables, to detach them from their history.

      -static initialize(matrix)View on GitHub#
      +static initialize(matrix)View on GitHub#
      -classmethod load_language_model(model_file, has_decoder=True)View on GitHub#
      +classmethod load_language_model(model_file, has_decoder=True)View on GitHub#
      -classmethod load_checkpoint(model_file)View on GitHub#
      +classmethod load_checkpoint(model_file)View on GitHub#
      -save_checkpoint(file, optimizer, epoch, split, loss)View on GitHub#
      +save_checkpoint(file, optimizer, epoch, split, loss)View on GitHub#
      -save(file)View on GitHub#
      +save(file)View on GitHub#
      -generate_text(prefix='\\n', number_of_characters=1000, temperature=1.0, break_on_suffix=None)View on GitHub#
      +generate_text(prefix='\\n', number_of_characters=1000, temperature=1.0, break_on_suffix=None)View on GitHub#
      Return type:

      Tuple[str, float]

      @@ -654,7 +654,7 @@

      Versions

      -calculate_perplexity(text)View on GitHub#
      +calculate_perplexity(text)View on GitHub#
      Return type:

      float

      @@ -671,11 +671,11 @@

      Versions

      -class flair.models.Lemmatizer(embeddings=None, label_type='lemma', rnn_input_size=50, rnn_hidden_size=256, rnn_layers=2, encode_characters=True, char_dict='common-chars-lemmatizer', max_sequence_length_dependent_on_input=True, max_sequence_length=20, use_attention=True, beam_size=1, start_symbol_for_encoding=True, end_symbol_for_encoding=True, bidirectional_encoding=True)View on GitHub#
      +class flair.models.Lemmatizer(embeddings=None, label_type='lemma', rnn_input_size=50, rnn_hidden_size=256, rnn_layers=2, encode_characters=True, char_dict='common-chars-lemmatizer', max_sequence_length_dependent_on_input=True, max_sequence_length=20, use_attention=True, beam_size=1, start_symbol_for_encoding=True, end_symbol_for_encoding=True, bidirectional_encoding=True)View on GitHub#

      Bases: Classifier[Sentence]

      -__init__(embeddings=None, label_type='lemma', rnn_input_size=50, rnn_hidden_size=256, rnn_layers=2, encode_characters=True, char_dict='common-chars-lemmatizer', max_sequence_length_dependent_on_input=True, max_sequence_length=20, use_attention=True, beam_size=1, start_symbol_for_encoding=True, end_symbol_for_encoding=True, bidirectional_encoding=True)View on GitHub#
      +__init__(embeddings=None, label_type='lemma', rnn_input_size=50, rnn_hidden_size=256, rnn_layers=2, encode_characters=True, char_dict='common-chars-lemmatizer', max_sequence_length_dependent_on_input=True, max_sequence_length=20, use_attention=True, beam_size=1, start_symbol_for_encoding=True, end_symbol_for_encoding=True, bidirectional_encoding=True)View on GitHub#

      Initializes a Lemmatizer model.

      The model consists of a decoder and an encoder. The encoder is either a RNN-cell (torch.nn.GRU) or a Token-Embedding from flair if an embedding is handed to the constructor (token_embedding). @@ -719,7 +719,7 @@

      Versions

      -words_to_char_indices(tokens, end_symbol=True, start_symbol=False, padding_in_front=False, seq_length=None)View on GitHub#
      +words_to_char_indices(tokens, end_symbol=True, start_symbol=False, padding_in_front=False, seq_length=None)View on GitHub#

      For a given list of strings this function creates index vectors that represent the characters of the strings.

      Each string is represented by sequence_length (maximum string length + entries for special symbol) many indices representing characters in self.char_dict. @@ -740,17 +740,17 @@

      Versions

      -forward_pass(sentences)View on GitHub#
      +forward_pass(sentences)View on GitHub#
      -decode(decoder_input_indices, initial_hidden_states, all_encoder_outputs)View on GitHub#
      +decode(decoder_input_indices, initial_hidden_states, all_encoder_outputs)View on GitHub#
      -forward(encoder_input_indices, lengths, token_embedding_hidden)View on GitHub#
      +forward(encoder_input_indices, lengths, token_embedding_hidden)View on GitHub#

      Defines the computation performed at every call.

      Should be overridden by all subclasses. :rtype: Tuple[Tensor, Optional[Tensor]]

      @@ -765,17 +765,17 @@

      Versions

      -encode(sentences)View on GitHub#
      +encode(sentences)View on GitHub#
      -encode_token(token)View on GitHub#
      +encode_token(token)View on GitHub#
      -forward_loss(sentences)View on GitHub#
      +forward_loss(sentences)View on GitHub#

      Performs a forward pass and returns a loss tensor for backpropagation.

      Implement this to enable training.

      @@ -787,7 +787,7 @@

      Versions

      -predict(sentences, mini_batch_size=16, return_probabilities_for_all_classes=False, verbose=False, label_name='predicted', return_loss=False, embedding_storage_mode='none')View on GitHub#
      +predict(sentences, mini_batch_size=16, return_probabilities_for_all_classes=False, verbose=False, label_name='predicted', return_loss=False, embedding_storage_mode='none')View on GitHub#

      Predict lemmas of words for a given (list of) sentence(s).

      Parameters:
      @@ -806,7 +806,7 @@

      Versions

      -evaluate(*args, **kwargs)View on GitHub#
      +evaluate(*args, **kwargs)View on GitHub#

      Evaluates the model. Returns a Result object containing evaluation results and a loss value.

      Implement this to enable evaluation.

      @@ -838,7 +838,7 @@

      Versions

      -class flair.models.TextPairClassifier(embeddings, label_type, embed_separately=False, **classifierargs)View on GitHub#
      +class flair.models.TextPairClassifier(embeddings, label_type, embed_separately=False, **classifierargs)View on GitHub#

      Bases: DefaultClassifier[DataPair[Sentence, Sentence], DataPair[Sentence, Sentence]]

      Text Pair Classification Model for tasks such as Recognizing Textual Entailment, build upon TextClassifier.

      The model takes document embeddings and puts resulting text representation(s) into a linear layer to get the @@ -847,7 +847,7 @@

      Versions

      the resulting vector (“embed_separately=False”).

      -__init__(embeddings, label_type, embed_separately=False, **classifierargs)View on GitHub#
      +__init__(embeddings, label_type, embed_separately=False, **classifierargs)View on GitHub#

      Initializes a TextPairClassifier.

      Parameters:
      @@ -876,7 +876,7 @@

      Versions

      -get_used_tokens(corpus)View on GitHub#
      +get_used_tokens(corpus)View on GitHub#
      Return type:

      Iterable[List[str]]

      @@ -888,7 +888,7 @@

      Versions

      -class flair.models.TextPairRegressor(embeddings, label_type, embed_separately=False, dropout=0.0, locked_dropout=0.0, word_dropout=0.0, decoder=None)View on GitHub#
      +class flair.models.TextPairRegressor(embeddings, label_type, embed_separately=False, dropout=0.0, locked_dropout=0.0, word_dropout=0.0, decoder=None)View on GitHub#

      Bases: Model[DataPair[Sentence, Sentence]], ReduceTransformerVocabMixin

      Text Pair Regression Model for tasks such as Semantic Textual Similarity Benchmark.

      The model takes document embeddings and puts resulting text representation(s) into a linear layer to get the @@ -897,7 +897,7 @@

      Versions

      the resulting vector (“embed_separately=False”).

      -__init__(embeddings, label_type, embed_separately=False, dropout=0.0, locked_dropout=0.0, word_dropout=0.0, decoder=None)View on GitHub#
      +__init__(embeddings, label_type, embed_separately=False, dropout=0.0, locked_dropout=0.0, word_dropout=0.0, decoder=None)View on GitHub#

      Initialize the Text Pair Regression Model.

      Parameters:
      @@ -924,7 +924,7 @@

      Versions

      -get_used_tokens(corpus)View on GitHub#
      +get_used_tokens(corpus)View on GitHub#
      Return type:

      Iterable[List[str]]

      @@ -934,7 +934,7 @@

      Versions

      -forward_loss(pairs)View on GitHub#
      +forward_loss(pairs)View on GitHub#

      Performs a forward pass and returns a loss tensor for backpropagation.

      Implement this to enable training.

      @@ -946,7 +946,7 @@

      Versions

      -predict(pairs, mini_batch_size=32, verbose=False, label_name=None, embedding_storage_mode='none')View on GitHub#
      +predict(pairs, mini_batch_size=32, verbose=False, label_name=None, embedding_storage_mode='none')View on GitHub#
      Return type:

      List[DataPair[Sentence, Sentence]]

      @@ -956,7 +956,7 @@

      Versions

      -evaluate(data_points, gold_label_type, out_path=None, embedding_storage_mode='none', mini_batch_size=32, main_evaluation_metric=('micro avg', 'f1-score'), exclude_labels=[], gold_label_dictionary=None, return_loss=True, **kwargs)View on GitHub#
      +evaluate(data_points, gold_label_type, out_path=None, embedding_storage_mode='none', mini_batch_size=32, main_evaluation_metric=('micro avg', 'f1-score'), exclude_labels=[], gold_label_dictionary=None, return_loss=True, **kwargs)View on GitHub#

      Evaluates the model. Returns a Result object containing evaluation results and a loss value.

      Implement this to enable evaluation.

      @@ -988,7 +988,7 @@

      Versions

      -class flair.models.RelationClassifier(embeddings, label_dictionary, label_type, entity_label_types, entity_pair_labels=None, entity_threshold=None, cross_augmentation=True, encoding_strategy=<flair.models.relation_classifier_model.TypedEntityMarker object>, zero_tag_value='O', allow_unk_tag=True, **classifierargs)View on GitHub#
      +class flair.models.RelationClassifier(embeddings, label_dictionary, label_type, entity_label_types, entity_pair_labels=None, entity_threshold=None, cross_augmentation=True, encoding_strategy=<flair.models.relation_classifier_model.TypedEntityMarker object>, zero_tag_value='O', allow_unk_tag=True, **classifierargs)View on GitHub#

      Bases: DefaultClassifier[EncodedSentence, EncodedSentence]

      Relation Classifier to predict the relation between two entities.

      @@ -1019,7 +1019,7 @@

      Architecture
      -__init__(embeddings, label_dictionary, label_type, entity_label_types, entity_pair_labels=None, entity_threshold=None, cross_augmentation=True, encoding_strategy=<flair.models.relation_classifier_model.TypedEntityMarker object>, zero_tag_value='O', allow_unk_tag=True, **classifierargs)View on GitHub#
      +__init__(embeddings, label_dictionary, label_type, entity_label_types, entity_pair_labels=None, entity_threshold=None, cross_augmentation=True, encoding_strategy=<flair.models.relation_classifier_model.TypedEntityMarker object>, zero_tag_value='O', allow_unk_tag=True, **classifierargs)View on GitHub#

      Initializes a RelationClassifier.

      Parameters:
      @@ -1042,7 +1042,7 @@

      Architecture
      -_valid_entities(sentence)View on GitHub#
      +_valid_entities(sentence)View on GitHub#

      Yields all valid entities, filtered under the specification of entity_label_types.

      Parameters:
      @@ -1059,7 +1059,7 @@

      Architecture
      -_entity_pair_permutations(sentence)View on GitHub#
      +_entity_pair_permutations(sentence)View on GitHub#

      Yields all valid entity pair permutations (relation candidates).

      If the passed sentence contains relation annotations, the relation gold label will be yielded along with the participating entities. @@ -1081,7 +1081,7 @@

      Architecture
      -_encode_sentence(head, tail, gold_label=None)View on GitHub#
      +_encode_sentence(head, tail, gold_label=None)View on GitHub#

      Returns a new Sentence object with masked/marked head and tail spans according to the encoding strategy.

      If provided, the encoded sentence also has the corresponding gold label annotation from label_type.

      @@ -1101,7 +1101,7 @@

      Architecture
      -_encode_sentence_for_inference(sentence)View on GitHub#
      +_encode_sentence_for_inference(sentence)View on GitHub#

      Create Encoded Sentences and Relation pairs for Inference.

      Yields encoded sentences annotated with their gold relation and the corresponding relation object in the original sentence for all valid entity pair permutations. @@ -1127,7 +1127,7 @@

      Architecture
      -_encode_sentence_for_training(sentence)View on GitHub#
      +_encode_sentence_for_training(sentence)View on GitHub#

      Create Encoded Sentences and Relation pairs for Training.

      Same as self._encode_sentence_for_inference.

      with the option of disabling cross augmentation via self.cross_augmentation @@ -1141,7 +1141,7 @@

      Architecture
      -transform_sentence(sentences)View on GitHub#
      +transform_sentence(sentences)View on GitHub#

      Transforms sentences into encoded sentences specific to the RelationClassifier.

      For more information on the internal sentence transformation procedure, see the flair.models.RelationClassifier architecture and @@ -1161,7 +1161,7 @@

      Architecture
      -transform_dataset(dataset)View on GitHub#
      +transform_dataset(dataset)View on GitHub#

      Transforms a dataset into a dataset containing encoded sentences specific to the RelationClassifier.

      The returned dataset is stored in memory. For more information on the internal sentence transformation procedure, @@ -1180,7 +1180,7 @@

      Architecture
      -transform_corpus(corpus)View on GitHub#
      +transform_corpus(corpus)View on GitHub#

      Transforms a corpus into a corpus containing encoded sentences specific to the RelationClassifier.

      The splits of the returned corpus are stored in memory. For more information on the internal sentence transformation procedure, @@ -1199,7 +1199,7 @@

      Architecture
      -_get_data_points_from_sentence(sentence)View on GitHub#
      +_get_data_points_from_sentence(sentence)View on GitHub#

      Returns the encoded sentences to which labels are added.

      To encode sentences, use the transform function of the RelationClassifier.

      @@ -1211,7 +1211,7 @@

      Architecture
      -predict(sentences, mini_batch_size=32, return_probabilities_for_all_classes=False, verbose=False, label_name=None, return_loss=False, embedding_storage_mode='none')View on GitHub#
      +predict(sentences, mini_batch_size=32, return_probabilities_for_all_classes=False, verbose=False, label_name=None, return_loss=False, embedding_storage_mode='none')View on GitHub#

      Predicts the class labels for the given sentence(s).

      Standard Sentence objects and EncodedSentences specific to the RelationClassifier are allowed as input. The (relation) labels are directly added to the sentences.

      @@ -1252,7 +1252,7 @@

      Architecture
      -get_used_tokens(corpus)View on GitHub#
      +get_used_tokens(corpus)View on GitHub#
      Return type:

      Iterable[List[str]]

      @@ -1262,7 +1262,7 @@

      Architecture
      -classmethod load(model_path)View on GitHub#
      +classmethod load(model_path)View on GitHub#

      Loads the model from the given file.

      Parameters:
      @@ -1280,11 +1280,11 @@

      Architecture
      -class flair.models.RelationExtractor(embeddings, label_type, entity_label_type, entity_pair_filters=None, pooling_operation='first_last', train_on_gold_pairs_only=False, **classifierargs)View on GitHub#
      +class flair.models.RelationExtractor(embeddings, label_type, entity_label_type, entity_pair_filters=None, pooling_operation='first_last', train_on_gold_pairs_only=False, **classifierargs)View on GitHub#

      Bases: DefaultClassifier[Sentence, Relation]

      -__init__(embeddings, label_type, entity_label_type, entity_pair_filters=None, pooling_operation='first_last', train_on_gold_pairs_only=False, **classifierargs)View on GitHub#
      +__init__(embeddings, label_type, entity_label_type, entity_pair_filters=None, pooling_operation='first_last', train_on_gold_pairs_only=False, **classifierargs)View on GitHub#

      Initializes a RelationClassifier.

      Parameters:
      @@ -1310,7 +1310,7 @@

      Architecture
      -classmethod load(model_path)View on GitHub#
      +classmethod load(model_path)View on GitHub#

      Loads the model from the given file.

      Parameters:
      @@ -1327,11 +1327,11 @@

      Architecture
      -class flair.models.RegexpTagger(mapping)View on GitHub#
      +class flair.models.RegexpTagger(mapping)View on GitHub#

      Bases: object

      -__init__(mapping)View on GitHub#
      +__init__(mapping)View on GitHub#

      This tagger is capable of tagging sentence objects with given regexp -> label mappings.

      I.e: The tuple (r’([”'])(?:(?=(\?))2.)*?1’, ‘QUOTE’) maps every match of the regexp to a <QUOTE> labeled span and therefore labels the given sentence object with RegexpTagger.predict(). @@ -1352,7 +1352,7 @@

      Architecture
      -register_labels(mapping)View on GitHub#
      +register_labels(mapping)View on GitHub#

      Register a regexp -> label mapping.

      Parameters:
      @@ -1363,7 +1363,7 @@

      Architecture
      -remove_labels(labels)View on GitHub#
      +remove_labels(labels)View on GitHub#

      Remove a registered regexp -> label mapping given by label.

      Parameters:
      @@ -1374,7 +1374,7 @@

      Architecture
      -predict(sentences)View on GitHub#
      +predict(sentences)View on GitHub#

      Predict the given sentences according to the registered mappings.

      Return type:
      @@ -1385,7 +1385,7 @@

      Architecture
      -_label(sentence)View on GitHub#
      +_label(sentence)View on GitHub#

      This will add a complex_label to the given sentence for every match.span() for every registered_mapping.

      If a match span overlaps with a token span an exception is raised.

      @@ -1394,11 +1394,11 @@

      Architecture
      -class flair.models.SequenceTagger(embeddings, tag_dictionary, tag_type, use_rnn=True, rnn=None, rnn_type='LSTM', tag_format='BIOES', hidden_size=256, rnn_layers=1, bidirectional=True, use_crf=True, reproject_embeddings=True, dropout=0.0, word_dropout=0.05, locked_dropout=0.5, train_initial_hidden_state=False, loss_weights=None, init_from_state_dict=False, allow_unk_predictions=False)View on GitHub#
      +class flair.models.SequenceTagger(embeddings, tag_dictionary, tag_type, use_rnn=True, rnn=None, rnn_type='LSTM', tag_format='BIOES', hidden_size=256, rnn_layers=1, bidirectional=True, use_crf=True, reproject_embeddings=True, dropout=0.0, word_dropout=0.05, locked_dropout=0.5, train_initial_hidden_state=False, loss_weights=None, init_from_state_dict=False, allow_unk_predictions=False)View on GitHub#

      Bases: Classifier[Sentence]

      -__init__(embeddings, tag_dictionary, tag_type, use_rnn=True, rnn=None, rnn_type='LSTM', tag_format='BIOES', hidden_size=256, rnn_layers=1, bidirectional=True, use_crf=True, reproject_embeddings=True, dropout=0.0, word_dropout=0.05, locked_dropout=0.5, train_initial_hidden_state=False, loss_weights=None, init_from_state_dict=False, allow_unk_predictions=False)View on GitHub#
      +__init__(embeddings, tag_dictionary, tag_type, use_rnn=True, rnn=None, rnn_type='LSTM', tag_format='BIOES', hidden_size=256, rnn_layers=1, bidirectional=True, use_crf=True, reproject_embeddings=True, dropout=0.0, word_dropout=0.05, locked_dropout=0.5, train_initial_hidden_state=False, loss_weights=None, init_from_state_dict=False, allow_unk_predictions=False)View on GitHub#

      Sequence Tagger class for predicting labels for single tokens. Can be parameterized by several attributes.

      In case of multitask learning, pass shared embeddings or shared rnn into respective attributes.

      @@ -1436,7 +1436,7 @@

      Architecture
      -_init_loss_weights(loss_weights)View on GitHub#
      +_init_loss_weights(loss_weights)View on GitHub#

      Initializes the loss weights based on given dictionary.

      Parameters:
      @@ -1450,7 +1450,7 @@

      Architecture
      -_init_initial_hidden_state(num_directions)View on GitHub#
      +_init_initial_hidden_state(num_directions)View on GitHub#

      Initializes hidden states given the number of directions in RNN.

      Parameters:
      @@ -1461,7 +1461,7 @@

      Architecture
      -static RNN(rnn_type, rnn_layers, hidden_size, bidirectional, rnn_input_dim)View on GitHub#
      +static RNN(rnn_type, rnn_layers, hidden_size, bidirectional, rnn_input_dim)View on GitHub#

      Static wrapper function returning an RNN instance from PyTorch.

      Parameters:
      @@ -1481,7 +1481,7 @@

      Architecture
      -forward_loss(sentences)View on GitHub#
      +forward_loss(sentences)View on GitHub#

      Performs a forward pass and returns a loss tensor for backpropagation.

      Implement this to enable training.

      @@ -1493,7 +1493,7 @@

      Architecture
      -forward(sentence_tensor, lengths)View on GitHub#
      +forward(sentence_tensor, lengths)View on GitHub#

      Forward propagation through network.

      Parameters:
      @@ -1507,7 +1507,7 @@

      Architecture
      -static _get_scores_from_features(features, lengths)View on GitHub#
      +static _get_scores_from_features(features, lengths)View on GitHub#

      Remove paddings to get a smaller tensor.

      Trims current batch tensor in shape (batch size, sequence length, tagset size) in such a way that all pads are going to be removed.

      @@ -1523,7 +1523,7 @@

      Architecture
      -_get_gold_labels(sentences)View on GitHub#
      +_get_gold_labels(sentences)View on GitHub#

      Extracts gold labels from each sentence.

      Parameters:
      @@ -1537,7 +1537,7 @@

      Architecture
      -predict(sentences, mini_batch_size=32, return_probabilities_for_all_classes=False, verbose=False, label_name=None, return_loss=False, embedding_storage_mode='none', force_token_predictions=False)View on GitHub#
      +predict(sentences, mini_batch_size=32, return_probabilities_for_all_classes=False, verbose=False, label_name=None, return_loss=False, embedding_storage_mode='none', force_token_predictions=False)View on GitHub#

      Predicts labels for current batch with CRF or Softmax.

      Parameters:
      @@ -1557,7 +1557,7 @@

      Architecture
      -_standard_inference(features, batch, probabilities_for_all_classes)View on GitHub#
      +_standard_inference(features, batch, probabilities_for_all_classes)View on GitHub#

      Softmax over emission scores from forward propagation.

      Parameters:
      @@ -1572,19 +1572,19 @@

      Architecture
      -_all_scores_for_token(sentences, scores, lengths)View on GitHub#
      +_all_scores_for_token(sentences, scores, lengths)View on GitHub#

      Returns all scores for each tag in tag dictionary.

      -_get_state_dict()View on GitHub#
      +_get_state_dict()View on GitHub#

      Returns the state dictionary for this model.

      -push_to_hub(repo_id, token=None, private=None, commit_message='Add new SequenceTagger model.')View on GitHub#
      +push_to_hub(repo_id, token=None, private=None, commit_message='Add new SequenceTagger model.')View on GitHub#

      Uploads the Sequence Tagger model to a Hugging Face Hub repository.

      Parameters:
      @@ -1601,7 +1601,7 @@

      Architecture
      -classmethod load(model_path)View on GitHub#
      +classmethod load(model_path)View on GitHub#

      Loads the model from the given file.

      Parameters:
      @@ -1618,12 +1618,12 @@

      Architecture
      -class flair.models.TokenClassifier(embeddings, label_dictionary, label_type, span_encoding='BIOES', **classifierargs)View on GitHub#
      +class flair.models.TokenClassifier(embeddings, label_dictionary, label_type, span_encoding='BIOES', **classifierargs)View on GitHub#

      Bases: DefaultClassifier[Sentence, Token]

      This is a simple class of models that tags individual words in text.

      -__init__(embeddings, label_dictionary, label_type, span_encoding='BIOES', **classifierargs)View on GitHub#
      +__init__(embeddings, label_dictionary, label_type, span_encoding='BIOES', **classifierargs)View on GitHub#

      Initializes a TokenClassifier.

      Parameters:
      @@ -1646,7 +1646,7 @@

      Architecture
      -classmethod load(model_path)View on GitHub#
      +classmethod load(model_path)View on GitHub#

      Loads the model from the given file.

      Parameters:
      @@ -1663,7 +1663,7 @@

      Architecture
      -class flair.models.WordTagger(embeddings, label_dictionary, label_type, span_encoding='BIOES', **classifierargs)View on GitHub#
      +class flair.models.WordTagger(embeddings, label_dictionary, label_type, span_encoding='BIOES', **classifierargs)View on GitHub#

      Bases: TokenClassifier

      Deprecated since version 0.12.2: The WordTagger was renamed to @@ -1673,11 +1673,11 @@

      Architecture
      -class flair.models.FewshotClassifierView on GitHub#
      +class flair.models.FewshotClassifierView on GitHub#

      Bases: Classifier[Sentence], ABC

      -forward_loss(data_points)View on GitHub#
      +forward_loss(data_points)View on GitHub#

      Performs a forward pass and returns a loss tensor for backpropagation.

      Implement this to enable training.

      @@ -1694,7 +1694,7 @@

      Architecture
      -train(mode=True)View on GitHub#
      +train(mode=True)View on GitHub#

      Populate label similarity map based on cosine similarity before running epoch.

      If the num_negative_labels_to_sample is set to an integer value then before starting each epoch the model would create a similarity measure between the label names based @@ -1703,28 +1703,28 @@

      Architecture
      -_compute_label_similarity_for_current_epoch()View on GitHub#
      +_compute_label_similarity_for_current_epoch()View on GitHub#

      Compute the similarity between all labels for better sampling of negatives.

      -get_current_label_dictionary()View on GitHub#
      +get_current_label_dictionary()View on GitHub#
      -get_current_label_type()View on GitHub#
      +get_current_label_type()View on GitHub#
      -is_current_task_multi_label()View on GitHub#
      +is_current_task_multi_label()View on GitHub#
      -add_and_switch_to_new_task(task_name, label_dictionary, label_type, multi_label=True, force_switch=False)View on GitHub#
      +add_and_switch_to_new_task(task_name, label_dictionary, label_type, multi_label=True, force_switch=False)View on GitHub#

      Adds a new task to an existing TARS model.

      Sets necessary attributes and finally ‘switches’ to the new task. Parameters are similar to the constructor except for model choice, batch size and negative sampling. This method does not store the resultant model onto @@ -1744,7 +1744,7 @@

      Architecture
      -list_existing_tasks()View on GitHub#
      +list_existing_tasks()View on GitHub#

      Lists existing tasks in the loaded TARS model on the console.

      Return type:
      @@ -1755,7 +1755,7 @@

      Architecture
      -switch_to_task(task_name)View on GitHub#
      +switch_to_task(task_name)View on GitHub#

      Switches to a task which was previously added.

      @@ -1767,7 +1767,7 @@

      Architecture
      -predict_zero_shot(sentences, candidate_label_set, multi_label=True)View on GitHub#
      +predict_zero_shot(sentences, candidate_label_set, multi_label=True)View on GitHub#

      Make zero shot predictions from the TARS model.

      Parameters:
      @@ -1782,7 +1782,7 @@

      Architecture
      -get_used_tokens(corpus)View on GitHub#
      +get_used_tokens(corpus)View on GitHub#
      Return type:

      Iterable[List[str]]

      @@ -1792,7 +1792,7 @@

      Architecture
      -classmethod load(model_path)View on GitHub#
      +classmethod load(model_path)View on GitHub#

      Loads the model from the given file.

      Parameters:
      @@ -1809,7 +1809,7 @@

      Architecture
      -class flair.models.TARSClassifier(task_name=None, label_dictionary=None, label_type=None, embeddings='bert-base-uncased', num_negative_labels_to_sample=2, prefix=True, **tagger_args)View on GitHub#
      +class flair.models.TARSClassifier(task_name=None, label_dictionary=None, label_type=None, embeddings='bert-base-uncased', num_negative_labels_to_sample=2, prefix=True, **tagger_args)View on GitHub#

      Bases: FewshotClassifier

      TARS model for text classification.

      In the backend, the model uses a BERT based binary text classifier which given a <label, text> pair predicts the @@ -1832,7 +1832,7 @@

      Architecture
      -__init__(task_name=None, label_dictionary=None, label_type=None, embeddings='bert-base-uncased', num_negative_labels_to_sample=2, prefix=True, **tagger_args)View on GitHub#
      +__init__(task_name=None, label_dictionary=None, label_type=None, embeddings='bert-base-uncased', num_negative_labels_to_sample=2, prefix=True, **tagger_args)View on GitHub#

      Initializes a TarsClassifier.

      Parameters:
      @@ -1863,7 +1863,7 @@

      Architecture
      -predict(sentences, mini_batch_size=32, return_probabilities_for_all_classes=False, verbose=False, label_name=None, return_loss=False, embedding_storage_mode='none', label_threshold=0.5, multi_label=None, force_label=False)View on GitHub#
      +predict(sentences, mini_batch_size=32, return_probabilities_for_all_classes=False, verbose=False, label_name=None, return_loss=False, embedding_storage_mode='none', label_threshold=0.5, multi_label=None, force_label=False)View on GitHub#

      Predict sentences on the Text Classification task.

      Parameters:
      @@ -1890,7 +1890,7 @@

      Architecture
      -classmethod load(model_path)View on GitHub#
      +classmethod load(model_path)View on GitHub#

      Loads the model from the given file.

      Parameters:
      @@ -1907,7 +1907,7 @@

      Architecture
      -class flair.models.TARSTagger(task_name=None, label_dictionary=None, label_type=None, embeddings='bert-base-uncased', num_negative_labels_to_sample=2, prefix=True, **tagger_args)View on GitHub#
      +class flair.models.TARSTagger(task_name=None, label_dictionary=None, label_type=None, embeddings='bert-base-uncased', num_negative_labels_to_sample=2, prefix=True, **tagger_args)View on GitHub#

      Bases: FewshotClassifier

      TARS model for sequence tagging.

      In the backend, the model uses a BERT based 5-class sequence labeler which given a <label, text> pair predicts the @@ -1920,7 +1920,7 @@

      Architecture
      -__init__(task_name=None, label_dictionary=None, label_type=None, embeddings='bert-base-uncased', num_negative_labels_to_sample=2, prefix=True, **tagger_args)View on GitHub#
      +__init__(task_name=None, label_dictionary=None, label_type=None, embeddings='bert-base-uncased', num_negative_labels_to_sample=2, prefix=True, **tagger_args)View on GitHub#

      Initializes a TarsTagger.

      Parameters:
      @@ -1946,7 +1946,7 @@

      Architecture
      -predict(sentences, mini_batch_size=32, return_probabilities_for_all_classes=False, verbose=False, label_name=None, return_loss=False, embedding_storage_mode='none', most_probable_first=True)View on GitHub#
      +predict(sentences, mini_batch_size=32, return_probabilities_for_all_classes=False, verbose=False, label_name=None, return_loss=False, embedding_storage_mode='none', most_probable_first=True)View on GitHub#

      Predict sequence tags for Named Entity Recognition task.

      Parameters:
      @@ -1972,7 +1972,7 @@

      Architecture
      -classmethod load(model_path)View on GitHub#
      +classmethod load(model_path)View on GitHub#

      Loads the model from the given file.

      Parameters:
      @@ -1989,7 +1989,7 @@

      Architecture
      -class flair.models.TextClassifier(embeddings, label_type, **classifierargs)View on GitHub#
      +class flair.models.TextClassifier(embeddings, label_type, **classifierargs)View on GitHub#

      Bases: DefaultClassifier[Sentence, Sentence]

      Text Classification Model.

      The model takes word embeddings, puts them into an RNN to obtain a text @@ -1998,7 +1998,7 @@

      Architecture
      -__init__(embeddings, label_type, **classifierargs)View on GitHub#
      +__init__(embeddings, label_type, **classifierargs)View on GitHub#

      Initializes a TextClassifier.

      Parameters:
      @@ -2026,7 +2026,7 @@

      Architecture
      -classmethod load(model_path)View on GitHub#
      +classmethod load(model_path)View on GitHub#

      Loads the model from the given file.

      Parameters:
      @@ -2043,7 +2043,7 @@

      Architecture
      -class flair.models.TextRegressor(document_embeddings, label_name='label')View on GitHub#
      +class flair.models.TextRegressor(document_embeddings, label_name='label')View on GitHub#

      Bases: Model[Sentence], ReduceTransformerVocabMixin

      @@ -2053,7 +2053,7 @@

      Architecture
      -forward(*args)View on GitHub#
      +forward(*args)View on GitHub#

      Defines the computation performed at every call.

      Should be overridden by all subclasses. :rtype: Tensor

      @@ -2068,7 +2068,7 @@

      Architecture
      -forward_loss(sentences)View on GitHub#
      +forward_loss(sentences)View on GitHub#

      Performs a forward pass and returns a loss tensor for backpropagation.

      Implement this to enable training.

      @@ -2080,7 +2080,7 @@

      Architecture
      -predict(sentences, mini_batch_size=32, verbose=False, label_name=None, embedding_storage_mode='none')View on GitHub#
      +predict(sentences, mini_batch_size=32, verbose=False, label_name=None, embedding_storage_mode='none')View on GitHub#
      Return type:

      List[Sentence]

      @@ -2090,7 +2090,7 @@

      Architecture
      -forward_labels_and_loss(sentences)View on GitHub#
      +forward_labels_and_loss(sentences)View on GitHub#
      Return type:

      Tuple[Tensor, Tensor]

      @@ -2100,7 +2100,7 @@

      Architecture
      -evaluate(data_points, gold_label_type, out_path=None, embedding_storage_mode='none', mini_batch_size=32, main_evaluation_metric=('micro avg', 'f1-score'), exclude_labels=[], gold_label_dictionary=None, return_loss=True, **kwargs)View on GitHub#
      +evaluate(data_points, gold_label_type, out_path=None, embedding_storage_mode='none', mini_batch_size=32, main_evaluation_metric=('micro avg', 'f1-score'), exclude_labels=[], gold_label_dictionary=None, return_loss=True, **kwargs)View on GitHub#

      Evaluates the model. Returns a Result object containing evaluation results and a loss value.

      Implement this to enable evaluation.

      @@ -2130,7 +2130,7 @@

      Architecture
      -classmethod load(model_path)View on GitHub#
      +classmethod load(model_path)View on GitHub#

      Loads the model from the given file.

      Parameters:
      @@ -2145,7 +2145,7 @@

      Architecture
      -get_used_tokens(corpus)View on GitHub#
      +get_used_tokens(corpus)View on GitHub#
      Return type:

      Iterable[List[str]]

      @@ -2157,12 +2157,12 @@

      Architecture
      -class flair.models.ClusteringModel(model, embeddings)View on GitHub#
      +class flair.models.ClusteringModel(model, embeddings)View on GitHub#

      Bases: object

      A wrapper class to apply sklearn clustering models on DocumentEmbeddings.

      -__init__(model, embeddings)View on GitHub#
      +__init__(model, embeddings)View on GitHub#

      Instantiate the ClusteringModel.

      Parameters:
      @@ -2176,7 +2176,7 @@

      Architecture
      -fit(corpus, **kwargs)View on GitHub#
      +fit(corpus, **kwargs)View on GitHub#

      Trains the model.

      Parameters:
      @@ -2190,7 +2190,7 @@

      Architecture
      -predict(corpus)View on GitHub#
      +predict(corpus)View on GitHub#

      Predict labels given a list of sentences and returns the respective class indices.

      Parameters:
      @@ -2201,7 +2201,7 @@

      Architecture
      -save(model_file)View on GitHub#
      +save(model_file)View on GitHub#

      Saves current model.

      Parameters:
      @@ -2212,7 +2212,7 @@

      Architecture
      -static load(model_file)View on GitHub#
      +static load(model_file)View on GitHub#

      Loads a model from a given path.

      Parameters:
      @@ -2223,7 +2223,7 @@

      Architecture
      -_convert_dataset(corpus, label_type=None, batch_size=32, return_label_dict=False)View on GitHub#
      +_convert_dataset(corpus, label_type=None, batch_size=32, return_label_dict=False)View on GitHub#

      Makes a flair-corpus sklearn compatible.

      Turns the corpora into X, y datasets as required for most sklearn clustering models. Ref.: https://scikit-learn.org/stable/modules/classes.html#module-sklearn.cluster

      @@ -2231,7 +2231,7 @@

      Architecture
      -evaluate(corpus, label_type)View on GitHub#
      +evaluate(corpus, label_type)View on GitHub#

      This method calculates some evaluation metrics for the clustering.

      Also, the result of the evaluation is logged.

      @@ -2248,7 +2248,7 @@

      Architecture
      -class flair.models.MultitaskModel(models, task_ids=None, loss_factors=None, use_all_tasks=False)View on GitHub#
      +class flair.models.MultitaskModel(models, task_ids=None, loss_factors=None, use_all_tasks=False)View on GitHub#

      Bases: Classifier

      Multitask Model class which acts as wrapper for creating custom multitask models.

      Takes different tasks as input, parameter sharing is done by objects in flair, @@ -2258,7 +2258,7 @@

      Architecture
      -__init__(models, task_ids=None, loss_factors=None, use_all_tasks=False)View on GitHub#
      +__init__(models, task_ids=None, loss_factors=None, use_all_tasks=False)View on GitHub#

      Instantiates the MultiTaskModel.

      Parameters:
      @@ -2274,7 +2274,7 @@

      Architecture
      -forward(*args)View on GitHub#
      +forward(*args)View on GitHub#

      Defines the computation performed at every call.

      Should be overridden by all subclasses. :rtype: Tensor

      @@ -2289,7 +2289,7 @@

      Architecture
      -forward_loss(sentences)View on GitHub#
      +forward_loss(sentences)View on GitHub#

      Calls the respective forward loss of each model and sums them weighted by their loss factors.

      Parameters:
      @@ -2304,7 +2304,7 @@

      Architecture
      -predict(sentences, **predictargs)View on GitHub#
      +predict(sentences, **predictargs)View on GitHub#

      Predicts the class labels for the given sentences.

      The labels are directly added to the sentences.

      @@ -2324,7 +2324,7 @@

      Architecture
      -static split_batch_to_task_ids(sentences, all_tasks=False)View on GitHub#
      +static split_batch_to_task_ids(sentences, all_tasks=False)View on GitHub#

      Splits a batch of sentences to its respective model.

      If single sentence is assigned to several tasks (i.e. same corpus but different tasks), then the model assignment for this batch is randomly chosen.

      @@ -2344,7 +2344,7 @@

      Architecture
      -evaluate(data_points, gold_label_type, out_path=None, main_evaluation_metric=('micro avg', 'f1-score'), evaluate_all=True, **evalargs)View on GitHub#
      +evaluate(data_points, gold_label_type, out_path=None, main_evaluation_metric=('micro avg', 'f1-score'), evaluate_all=True, **evalargs)View on GitHub#

      Evaluates the model. Returns a Result object containing evaluation results and a loss value.

      Parameters:
      @@ -2366,13 +2366,13 @@

      Architecture
      -_get_state_dict()View on GitHub#
      +_get_state_dict()View on GitHub#

      Returns the state dict of the multitask model which has multiple models underneath.

      -classmethod _init_model_with_state_dict(state, **kwargs)View on GitHub#
      +classmethod _init_model_with_state_dict(state, **kwargs)View on GitHub#

      Initializes the model based on given state dict.

      @@ -2384,7 +2384,7 @@

      Architecture
      -classmethod load(model_path)View on GitHub#
      +classmethod load(model_path)View on GitHub#

      Loads the model from the given file.

      Parameters:
      diff --git a/doc-page/api/flair.nn.html b/master/api/flair.nn.html similarity index 91% rename from doc-page/api/flair.nn.html rename to master/api/flair.nn.html index 1d010f69a0..ebb1f86664 100644 --- a/doc-page/api/flair.nn.html +++ b/master/api/flair.nn.html @@ -421,7 +421,7 @@

      Versions

      @@ -486,13 +486,13 @@

      Versions

      flair.nn#

      -class flair.nn.LockedDropout(dropout_rate=0.5, batch_first=True, inplace=False)View on GitHub#
      +class flair.nn.LockedDropout(dropout_rate=0.5, batch_first=True, inplace=False)View on GitHub#

      Bases: Module

      Implementation of locked (or variational) dropout.

      Randomly drops out entire parameters in embedding space.

      -forward(x)View on GitHub#
      +forward(x)View on GitHub#

      Defines the computation performed at every call.

      Should be overridden by all subclasses.

      @@ -506,7 +506,7 @@

      Versions

      -extra_repr()View on GitHub#
      +extra_repr()View on GitHub#

      Set the extra representation of the module

      To print customized extra information, you should re-implement this method in your own modules. Both single-line and multi-line @@ -522,13 +522,13 @@

      Versions

      -class flair.nn.WordDropout(dropout_rate=0.05, inplace=False)View on GitHub#
      +class flair.nn.WordDropout(dropout_rate=0.05, inplace=False)View on GitHub#

      Bases: Module

      Implementation of word dropout.

      Randomly drops out entire words (or characters) in embedding space.

      -forward(x)View on GitHub#
      +forward(x)View on GitHub#

      Defines the computation performed at every call.

      Should be overridden by all subclasses.

      @@ -542,7 +542,7 @@

      Versions

      -extra_repr()View on GitHub#
      +extra_repr()View on GitHub#

      Set the extra representation of the module

      To print customized extra information, you should re-implement this method in your own modules. Both single-line and multi-line @@ -558,14 +558,14 @@

      Versions

      -class flair.nn.Classifier(*args, **kwargs)View on GitHub#
      +class flair.nn.Classifier(*args, **kwargs)View on GitHub#

      Bases: Model[DT], Generic[DT], ReduceTransformerVocabMixin, ABC

      Abstract base class for all Flair models that do classification.

      The classifier inherits from flair.nn.Model and adds unified functionality for both, single- and multi-label classification and evaluation. Therefore, it is ensured to have a fair comparison between multiple classifiers.

      -evaluate(data_points, gold_label_type, out_path=None, embedding_storage_mode='none', mini_batch_size=32, main_evaluation_metric=('micro avg', 'f1-score'), exclude_labels=[], gold_label_dictionary=None, return_loss=True, **kwargs)View on GitHub#
      +evaluate(data_points, gold_label_type, out_path=None, embedding_storage_mode='none', mini_batch_size=32, main_evaluation_metric=('micro avg', 'f1-score'), exclude_labels=[], gold_label_dictionary=None, return_loss=True, **kwargs)View on GitHub#

      Evaluates the model. Returns a Result object containing evaluation results and a loss value.

      Implement this to enable evaluation.

      @@ -595,7 +595,7 @@

      Versions

      -abstract predict(sentences, mini_batch_size=32, return_probabilities_for_all_classes=False, verbose=False, label_name=None, return_loss=False, embedding_storage_mode='none')View on GitHub#
      +abstract predict(sentences, mini_batch_size=32, return_probabilities_for_all_classes=False, verbose=False, label_name=None, return_loss=False, embedding_storage_mode='none')View on GitHub#

      Predicts the class labels for the given sentences.

      The labels are directly added to the sentences.

      @@ -615,7 +615,7 @@

      Versions

      -get_used_tokens(corpus)View on GitHub#
      +get_used_tokens(corpus)View on GitHub#
      Return type:

      Iterable[List[str]]

      @@ -625,7 +625,7 @@

      Versions

      -classmethod load(model_path)View on GitHub#
      +classmethod load(model_path)View on GitHub#

      Loads the model from the given file.

      Parameters:
      @@ -642,7 +642,7 @@

      Versions

      -class flair.nn.DefaultClassifier(embeddings, label_dictionary, final_embedding_size, dropout=0.0, locked_dropout=0.0, word_dropout=0.0, multi_label=False, multi_label_threshold=0.5, loss_weights=None, decoder=None, inverse_model=False, train_on_gold_pairs_only=False, should_embed_sentence=True)View on GitHub#
      +class flair.nn.DefaultClassifier(embeddings, label_dictionary, final_embedding_size, dropout=0.0, locked_dropout=0.0, word_dropout=0.0, multi_label=False, multi_label_threshold=0.5, loss_weights=None, decoder=None, inverse_model=False, train_on_gold_pairs_only=False, should_embed_sentence=True)View on GitHub#

      Bases: Classifier[DT], Generic[DT, DT2], ABC

      Default base class for all Flair models that do classification.

      It inherits from flair.nn.Classifier and thus from flair.nn.Model. All features shared by all classifiers are @@ -651,7 +651,7 @@

      Versions

      TextPairClassifier and TokenClassifier.

      -_filter_data_point(data_point)View on GitHub#
      +_filter_data_point(data_point)View on GitHub#

      Specify if a data point should be kept.

      That way you can remove for example empty texts. Per default all datapoints that have length zero will be removed. @@ -665,7 +665,7 @@

      Versions

      -abstract _get_data_points_from_sentence(sentence)View on GitHub#
      +abstract _get_data_points_from_sentence(sentence)View on GitHub#

      Returns the data_points to which labels are added.

      The results should be of any type that inherits from DataPoint (Sentence, Span, Token, … objects).

      @@ -677,7 +677,7 @@

      Versions

      -_get_data_points_for_batch(sentences)View on GitHub#
      +_get_data_points_for_batch(sentences)View on GitHub#

      Returns the data_points to which labels are added.

      The results should be of any type that inherits from DataPoint (Sentence, Span, Token, … objects).

      @@ -689,7 +689,7 @@

      Versions

      -_get_label_of_datapoint(data_point)View on GitHub#
      +_get_label_of_datapoint(data_point)View on GitHub#

      Extracts the labels from the data points.

      Each data point might return a list of strings, representing multiple labels.

      @@ -706,7 +706,7 @@

      Versions

      -forward_loss(sentences)View on GitHub#
      +forward_loss(sentences)View on GitHub#

      Performs a forward pass and returns a loss tensor for backpropagation.

      Implement this to enable training.

      @@ -718,7 +718,7 @@

      Versions

      -predict(sentences, mini_batch_size=32, return_probabilities_for_all_classes=False, verbose=False, label_name=None, return_loss=False, embedding_storage_mode='none')View on GitHub#
      +predict(sentences, mini_batch_size=32, return_probabilities_for_all_classes=False, verbose=False, label_name=None, return_loss=False, embedding_storage_mode='none')View on GitHub#

      Predicts the class labels for the given sentences. The labels are directly added to the sentences.

      Parameters:
      @@ -738,7 +738,7 @@

      Versions

      -classmethod load(model_path)View on GitHub#
      +classmethod load(model_path)View on GitHub#

      Loads the model from the given file.

      Parameters:
      @@ -755,7 +755,7 @@

      Versions

      -class flair.nn.Model(*args, **kwargs)View on GitHub#
      +class flair.nn.Model(*args, **kwargs)View on GitHub#

      Bases: Module, Generic[DT], ABC

      Abstract base class for all downstream task models in Flair, such as SequenceTagger and TextClassifier.

      Every new type of model must implement these methods.

      @@ -772,7 +772,7 @@

      Versions

      -abstract forward_loss(data_points)View on GitHub#
      +abstract forward_loss(data_points)View on GitHub#

      Performs a forward pass and returns a loss tensor for backpropagation.

      Implement this to enable training.

      @@ -784,7 +784,7 @@

      Versions

      -abstract evaluate(data_points, gold_label_type, out_path=None, embedding_storage_mode='none', mini_batch_size=32, main_evaluation_metric=('micro avg', 'f1-score'), exclude_labels=[], gold_label_dictionary=None, return_loss=True, **kwargs)View on GitHub#
      +abstract evaluate(data_points, gold_label_type, out_path=None, embedding_storage_mode='none', mini_batch_size=32, main_evaluation_metric=('micro avg', 'f1-score'), exclude_labels=[], gold_label_dictionary=None, return_loss=True, **kwargs)View on GitHub#

      Evaluates the model. Returns a Result object containing evaluation results and a loss value.

      Implement this to enable evaluation.

      @@ -814,19 +814,19 @@

      Versions

      -_get_state_dict()View on GitHub#
      +_get_state_dict()View on GitHub#

      Returns the state dictionary for this model.

      -classmethod _init_model_with_state_dict(state, **kwargs)View on GitHub#
      +classmethod _init_model_with_state_dict(state, **kwargs)View on GitHub#

      Initialize the model from a state dictionary.

      -save(model_file, checkpoint=False)View on GitHub#
      +save(model_file, checkpoint=False)View on GitHub#

      Saves the current model to the provided file.

      Parameters:
      @@ -840,7 +840,7 @@

      Versions

      -classmethod load(model_path)View on GitHub#
      +classmethod load(model_path)View on GitHub#

      Loads the model from the given file.

      Parameters:
      @@ -855,14 +855,14 @@

      Versions

      -print_model_card()View on GitHub#
      +print_model_card()View on GitHub#
      -class flair.nn.PrototypicalDecoder(num_prototypes, embeddings_size, prototype_size=None, distance_function='euclidean', use_radius=False, min_radius=0, unlabeled_distance=None, unlabeled_idx=None, learning_mode='joint', normal_distributed_initial_prototypes=False)View on GitHub#
      +class flair.nn.PrototypicalDecoder(num_prototypes, embeddings_size, prototype_size=None, distance_function='euclidean', use_radius=False, min_radius=0, unlabeled_distance=None, unlabeled_idx=None, learning_mode='joint', normal_distributed_initial_prototypes=False)View on GitHub#

      Bases: Module

      @@ -876,7 +876,7 @@

      Versions

      -forward(embedded)View on GitHub#
      +forward(embedded)View on GitHub#

      Defines the computation performed at every call.

      Should be overridden by all subclasses.

      @@ -892,7 +892,7 @@

      Versions

      -class flair.nn.LabelVerbalizerDecoder(label_embedding, label_dictionary)View on GitHub#
      +class flair.nn.LabelVerbalizerDecoder(label_embedding, label_dictionary)View on GitHub#

      Bases: Module

      A class for decoding labels using the idea of siamese networks / bi-encoders. This can be used for all classification tasks in flair.

      @@ -943,7 +943,7 @@

      Versions

      -static verbalize_labels(label_dictionary)View on GitHub#
      +static verbalize_labels(label_dictionary)View on GitHub#

      Takes a label dictionary and returns a list of sentences with verbalized labels.

      Parameters:
      @@ -965,7 +965,7 @@

      Versions

      -forward(inputs)View on GitHub#
      +forward(inputs)View on GitHub#

      Forward pass of the label verbalizer decoder.

      Parameters:
      diff --git a/doc-page/api/flair.splitter.html b/master/api/flair.splitter.html similarity index 93% rename from doc-page/api/flair.splitter.html rename to master/api/flair.splitter.html index 687e936d4f..cf3e8a1642 100644 --- a/doc-page/api/flair.splitter.html +++ b/master/api/flair.splitter.html @@ -421,7 +421,7 @@

      Versions

      @@ -486,7 +486,7 @@

      Versions

      flair.splitter#

      -class flair.splitter.SentenceSplitterView on GitHub#
      +class flair.splitter.SentenceSplitterView on GitHub#

      Bases: ABC

      An abstract class representing a SentenceSplitter.

      Sentence splitters are used to represent algorithms and models to split plain text into @@ -498,7 +498,7 @@

      Versions

      the sentence splitter’s configuration.

      -abstract split(text)View on GitHub#
      +abstract split(text)View on GitHub#
      Return type:

      List[Sentence]

      @@ -520,14 +520,14 @@

      Versions

      -class flair.splitter.SegtokSentenceSplitter(tokenizer=<flair.tokenization.SegtokTokenizer object>)View on GitHub#
      +class flair.splitter.SegtokSentenceSplitter(tokenizer=<flair.tokenization.SegtokTokenizer object>)View on GitHub#

      Bases: SentenceSplitter

      Sentence Splitter using SegTok.

      Implementation of SentenceSplitter using the SegTok library.

      For further details see: fnl/segtok

      -split(text)View on GitHub#
      +split(text)View on GitHub#
      Return type:

      List[Sentence]

      @@ -549,7 +549,7 @@

      Versions

      -class flair.splitter.SpacySentenceSplitter(model, tokenizer=None)View on GitHub#
      +class flair.splitter.SpacySentenceSplitter(model, tokenizer=None)View on GitHub#

      Bases: SentenceSplitter

      Sentence Splitter using Spacy.

      Implementation of SentenceSplitter, using models from Spacy.

      @@ -563,7 +563,7 @@

      Versions

      -split(text)View on GitHub#
      +split(text)View on GitHub#
      Return type:

      List[Sentence]

      @@ -585,7 +585,7 @@

      Versions

      -class flair.splitter.SciSpacySentenceSplitterView on GitHub#
      +class flair.splitter.SciSpacySentenceSplitterView on GitHub#

      Bases: SpacySentenceSplitter

      Sentence splitter using the spacy model en_core_sci_sm.

      Convenience class to instantiate SpacySentenceSplitter with Spacy model en_core_sci_sm @@ -594,14 +594,14 @@

      Versions

      -class flair.splitter.TagSentenceSplitter(tag, tokenizer=<flair.tokenization.SegtokTokenizer object>)View on GitHub#
      +class flair.splitter.TagSentenceSplitter(tag, tokenizer=<flair.tokenization.SegtokTokenizer object>)View on GitHub#

      Bases: SentenceSplitter

      SentenceSplitter which assumes that there is a tag within the text that is used to mark sentence boundaries.

      Implementation of SentenceSplitter which assumes that there is a special tag within the text that is used to mark sentence boundaries.

      -split(text)View on GitHub#
      +split(text)View on GitHub#
      Return type:

      List[Sentence]

      @@ -623,7 +623,7 @@

      Versions

      -class flair.splitter.NewlineSentenceSplitter(tokenizer=<flair.tokenization.SegtokTokenizer object>)View on GitHub#
      +class flair.splitter.NewlineSentenceSplitter(tokenizer=<flair.tokenization.SegtokTokenizer object>)View on GitHub#

      Bases: TagSentenceSplitter

      Sentence Splitter using newline as boundary marker.

      Convenience class to instantiate SentenceTagSplitter with newline (”n”) as @@ -637,13 +637,13 @@

      Versions

      -class flair.splitter.NoSentenceSplitter(tokenizer=<flair.tokenization.SegtokTokenizer object>)View on GitHub#
      +class flair.splitter.NoSentenceSplitter(tokenizer=<flair.tokenization.SegtokTokenizer object>)View on GitHub#

      Bases: SentenceSplitter

      Sentence Splitter which treats the full text as a single Sentence.

      Implementation of SentenceSplitter which treats the complete text as one sentence.

      -split(text)View on GitHub#
      +split(text)View on GitHub#
      Return type:

      List[Sentence]

      diff --git a/doc-page/api/flair.tokenization.html b/master/api/flair.tokenization.html similarity index 90% rename from doc-page/api/flair.tokenization.html rename to master/api/flair.tokenization.html index 537953a9c7..0bf7d946ed 100644 --- a/doc-page/api/flair.tokenization.html +++ b/master/api/flair.tokenization.html @@ -421,7 +421,7 @@

      Versions

      @@ -486,7 +486,7 @@

      Versions

      flair.tokenization#

      -class flair.tokenization.TokenizerView on GitHub#
      +class flair.tokenization.TokenizerView on GitHub#

      Bases: ABC

      An abstract class representing a Tokenizer.

      Tokenizers are used to represent algorithms and models to split plain text into @@ -496,7 +496,7 @@

      Versions

      configuration.

      -abstract tokenize(text)View on GitHub#
      +abstract tokenize(text)View on GitHub#
      Return type:

      List[str]

      @@ -513,7 +513,7 @@

      Versions

      -class flair.tokenization.SpacyTokenizer(model)View on GitHub#
      +class flair.tokenization.SpacyTokenizer(model)View on GitHub#

      Bases: Tokenizer

      Tokenizer using spacy under the hood.

      @@ -523,7 +523,7 @@

      Versions

      -tokenize(text)View on GitHub#
      +tokenize(text)View on GitHub#
      Return type:

      List[str]

      @@ -540,13 +540,13 @@

      Versions

      -class flair.tokenization.SegtokTokenizerView on GitHub#
      +class flair.tokenization.SegtokTokenizerView on GitHub#

      Bases: Tokenizer

      Tokenizer using segtok, a third party library dedicated to rules-based Indo-European languages.

      For further details see: fnl/segtok

      -tokenize(text)View on GitHub#
      +tokenize(text)View on GitHub#
      Return type:

      List[str]

      @@ -556,7 +556,7 @@

      Versions

      -static run_tokenize(text)View on GitHub#
      +static run_tokenize(text)View on GitHub#
      Return type:

      List[str]

      @@ -568,12 +568,12 @@

      Versions

      -class flair.tokenization.SpaceTokenizerView on GitHub#
      +class flair.tokenization.SpaceTokenizerView on GitHub#

      Bases: Tokenizer

      Tokenizer based on space character only.

      -tokenize(text)View on GitHub#
      +tokenize(text)View on GitHub#
      Return type:

      List[str]

      @@ -583,7 +583,7 @@

      Versions

      -static run_tokenize(text)View on GitHub#
      +static run_tokenize(text)View on GitHub#
      Return type:

      List[str]

      @@ -595,7 +595,7 @@

      Versions

      -class flair.tokenization.JapaneseTokenizer(tokenizer, sudachi_mode='A')View on GitHub#
      +class flair.tokenization.JapaneseTokenizer(tokenizer, sudachi_mode='A')View on GitHub#

      Bases: Tokenizer

      Tokenizer using konoha to support popular japanese tokenizers.

      Tokenizer using konoha, a third party library which supports @@ -606,7 +606,7 @@

      Versions

      -tokenize(text)View on GitHub#
      +tokenize(text)View on GitHub#
      Return type:

      List[str]

      @@ -623,12 +623,12 @@

      Versions

      -class flair.tokenization.TokenizerWrapper(tokenizer_func)View on GitHub#
      +class flair.tokenization.TokenizerWrapper(tokenizer_func)View on GitHub#

      Bases: Tokenizer

      Helper class to wrap tokenizer functions to the class-based tokenizer interface.

      -tokenize(text)View on GitHub#
      +tokenize(text)View on GitHub#
      Return type:

      List[str]

      @@ -645,7 +645,7 @@

      Versions

      -class flair.tokenization.SciSpacyTokenizerView on GitHub#
      +class flair.tokenization.SciSpacyTokenizerView on GitHub#

      Bases: Tokenizer

      Tokenizer that uses the en_core_sci_sm Spacy model and some special heuristics.

      Implementation of Tokenizer which uses the en_core_sci_sm Spacy model @@ -656,7 +656,7 @@

      Versions

      SpacyTokenizer.

      -tokenize(text)View on GitHub#
      +tokenize(text)View on GitHub#
      Return type:

      List[str]

      diff --git a/doc-page/api/flair.trainers.html b/master/api/flair.trainers.html similarity index 92% rename from doc-page/api/flair.trainers.html rename to master/api/flair.trainers.html index f27e310c16..cc89b92bbc 100644 --- a/doc-page/api/flair.trainers.html +++ b/master/api/flair.trainers.html @@ -417,7 +417,7 @@

      Versions

      @@ -482,7 +482,7 @@

      Versions

      flair.trainers#

      -class flair.trainers.ModelTrainer(model, corpus)View on GitHub#
      +class flair.trainers.ModelTrainer(model, corpus)View on GitHub#

      Bases: Pluggable

      @@ -491,7 +491,7 @@

      Versions

      -__init__(model, corpus)View on GitHub#
      +__init__(model, corpus)View on GitHub#

      Initialize a model trainer.

      Parameters:
      @@ -505,39 +505,39 @@

      Versions

      -reset_training_attributes()View on GitHub#
      +reset_training_attributes()View on GitHub#
      -static check_for_and_delete_previous_best_models(base_path)View on GitHub#
      +static check_for_and_delete_previous_best_models(base_path)View on GitHub#
      -static get_batch_steps(batch, mini_batch_chunk_size)View on GitHub#
      +static get_batch_steps(batch, mini_batch_chunk_size)View on GitHub#
      -_backward(loss)View on GitHub#
      +_backward(loss)View on GitHub#

      Calls backward on the loss.

      This allows plugins to overwrite the backward call.

      -train(base_path, anneal_factor=0.5, patience=3, min_learning_rate=0.0001, initial_extra_patience=0, anneal_with_restarts=False, learning_rate=0.1, decoder_learning_rate=None, mini_batch_size=32, eval_batch_size=64, mini_batch_chunk_size=None, max_epochs=100, optimizer=<class 'torch.optim.sgd.SGD'>, train_with_dev=False, train_with_test=False, main_evaluation_metric=('micro avg', 'f1-score'), monitor_test=False, monitor_train_sample=0.0, use_final_model_for_eval=False, gold_label_dictionary_for_eval=None, exclude_labels=[], sampler=None, shuffle=True, shuffle_first_epoch=True, embeddings_storage_mode='cpu', epoch=0, save_final_model=True, save_optimizer_state=False, save_model_each_k_epochs=0, create_file_logs=True, create_loss_file=True, write_weights=False, plugins=None, attach_default_scheduler=True, **kwargs)View on GitHub#
      +train(base_path, anneal_factor=0.5, patience=3, min_learning_rate=0.0001, initial_extra_patience=0, anneal_with_restarts=False, learning_rate=0.1, decoder_learning_rate=None, mini_batch_size=32, eval_batch_size=64, mini_batch_chunk_size=None, max_epochs=100, optimizer=<class 'torch.optim.sgd.SGD'>, train_with_dev=False, train_with_test=False, main_evaluation_metric=('micro avg', 'f1-score'), monitor_test=False, monitor_train_sample=0.0, use_final_model_for_eval=False, gold_label_dictionary_for_eval=None, exclude_labels=[], sampler=None, shuffle=True, shuffle_first_epoch=True, embeddings_storage_mode='cpu', epoch=0, save_final_model=True, save_optimizer_state=False, save_model_each_k_epochs=0, create_file_logs=True, create_loss_file=True, write_weights=False, plugins=None, attach_default_scheduler=True, **kwargs)View on GitHub#
      -fine_tune(base_path, warmup_fraction=0.1, learning_rate=5e-05, decoder_learning_rate=None, mini_batch_size=4, eval_batch_size=16, mini_batch_chunk_size=None, max_epochs=10, optimizer=<class 'torch.optim.adamw.AdamW'>, train_with_dev=False, train_with_test=False, main_evaluation_metric=('micro avg', 'f1-score'), monitor_test=False, monitor_train_sample=0.0, use_final_model_for_eval=True, gold_label_dictionary_for_eval=None, exclude_labels=[], sampler=None, shuffle=True, shuffle_first_epoch=True, embeddings_storage_mode='none', epoch=0, save_final_model=True, save_optimizer_state=False, save_model_each_k_epochs=0, create_file_logs=True, create_loss_file=True, write_weights=False, use_amp=False, plugins=None, attach_default_scheduler=True, **kwargs)View on GitHub#
      +fine_tune(base_path, warmup_fraction=0.1, learning_rate=5e-05, decoder_learning_rate=None, mini_batch_size=4, eval_batch_size=16, mini_batch_chunk_size=None, max_epochs=10, optimizer=<class 'torch.optim.adamw.AdamW'>, train_with_dev=False, train_with_test=False, main_evaluation_metric=('micro avg', 'f1-score'), monitor_test=False, monitor_train_sample=0.0, use_final_model_for_eval=True, gold_label_dictionary_for_eval=None, exclude_labels=[], sampler=None, shuffle=True, shuffle_first_epoch=True, embeddings_storage_mode='none', epoch=0, save_final_model=True, save_optimizer_state=False, save_model_each_k_epochs=0, create_file_logs=True, create_loss_file=True, write_weights=False, use_amp=False, plugins=None, attach_default_scheduler=True, **kwargs)View on GitHub#
      -train_custom(base_path, learning_rate=0.1, decoder_learning_rate=None, mini_batch_size=32, eval_batch_size=64, mini_batch_chunk_size=None, max_epochs=100, optimizer=<class 'torch.optim.sgd.SGD'>, train_with_dev=False, train_with_test=False, max_grad_norm=5.0, main_evaluation_metric=('micro avg', 'f1-score'), monitor_test=False, monitor_train_sample=0.0, use_final_model_for_eval=False, gold_label_dictionary_for_eval=None, exclude_labels=[], sampler=None, shuffle=True, shuffle_first_epoch=True, embeddings_storage_mode='cpu', epoch=0, save_final_model=True, save_optimizer_state=False, save_model_each_k_epochs=0, create_file_logs=True, create_loss_file=True, write_weights=False, use_amp=False, plugins=[], **kwargs)View on GitHub#
      +train_custom(base_path, learning_rate=0.1, decoder_learning_rate=None, mini_batch_size=32, eval_batch_size=64, mini_batch_chunk_size=None, max_epochs=100, optimizer=<class 'torch.optim.sgd.SGD'>, train_with_dev=False, train_with_test=False, max_grad_norm=5.0, main_evaluation_metric=('micro avg', 'f1-score'), monitor_test=False, monitor_train_sample=0.0, use_final_model_for_eval=False, gold_label_dictionary_for_eval=None, exclude_labels=[], sampler=None, shuffle=True, shuffle_first_epoch=True, embeddings_storage_mode='cpu', epoch=0, save_final_model=True, save_optimizer_state=False, save_model_each_k_epochs=0, create_file_logs=True, create_loss_file=True, write_weights=False, use_amp=False, plugins=[], **kwargs)View on GitHub#

      Trains any class that implements the flair.nn.Model interface.

      Parameters:
      @@ -593,7 +593,7 @@

      Versions

      -_initialize_model_card(**training_parameters)View on GitHub#
      +_initialize_model_card(**training_parameters)View on GitHub#

      Initializes model card with library versions and parameters.

      @@ -601,34 +601,34 @@

      Versions

      -class flair.trainers.LanguageModelTrainer(model, corpus, optimizer=<class 'torch.optim.sgd.SGD'>, test_mode=False, epoch=0, split=0, loss=10000, optimizer_state=None, scaler_state=None)View on GitHub#
      +class flair.trainers.LanguageModelTrainer(model, corpus, optimizer=<class 'torch.optim.sgd.SGD'>, test_mode=False, epoch=0, split=0, loss=10000, optimizer_state=None, scaler_state=None)View on GitHub#

      Bases: object

      -train(base_path, sequence_length, learning_rate=20, mini_batch_size=100, anneal_factor=0.25, patience=10, clip=0.25, max_epochs=1000, checkpoint=False, grow_to_sequence_length=0, num_workers=2, use_amp=False, **kwargs)View on GitHub#
      +train(base_path, sequence_length, learning_rate=20, mini_batch_size=100, anneal_factor=0.25, patience=10, clip=0.25, max_epochs=1000, checkpoint=False, grow_to_sequence_length=0, num_workers=2, use_amp=False, **kwargs)View on GitHub#
      -evaluate(data_source, eval_batch_size, sequence_length)View on GitHub#
      +evaluate(data_source, eval_batch_size, sequence_length)View on GitHub#
      -static _repackage_hidden(h)View on GitHub#
      +static _repackage_hidden(h)View on GitHub#

      Wraps hidden states in new tensors, to detach them from their history.

      -static load_checkpoint(checkpoint_file, corpus, optimizer=<class 'torch.optim.sgd.SGD'>)View on GitHub#
      +static load_checkpoint(checkpoint_file, corpus, optimizer=<class 'torch.optim.sgd.SGD'>)View on GitHub#
      -class flair.trainers.TextCorpus(path, dictionary, forward=True, character_level=True, random_case_flip=True, document_delimiter='\\n')View on GitHub#
      +class flair.trainers.TextCorpus(path, dictionary, forward=True, character_level=True, random_case_flip=True, document_delimiter='\\n')View on GitHub#

      Bases: object

      diff --git a/doc-page/api/flair.trainers.plugins.html b/master/api/flair.trainers.plugins.html similarity index 86% rename from doc-page/api/flair.trainers.plugins.html rename to master/api/flair.trainers.plugins.html index 2bdf7e3c64..f484e340ce 100644 --- a/doc-page/api/flair.trainers.plugins.html +++ b/master/api/flair.trainers.plugins.html @@ -429,7 +429,7 @@

      Versions

      @@ -494,23 +494,23 @@

      Versions

      flair.trainers.plugins#

      -class flair.trainers.plugins.AmpPlugin(opt_level)View on GitHub#
      +class flair.trainers.plugins.AmpPlugin(opt_level)View on GitHub#

      Bases: TrainerPlugin

      Simple plugin for AMP.

      -detach(*args, **kwargs)View on GitHub#
      +detach(*args, **kwargs)View on GitHub#

      Detach a plugin from the Pluggable it is attached to.

      -backward(loss)View on GitHub#
      +backward(loss)View on GitHub#
      -after_setup(**kw)View on GitHub#
      +after_setup(**kw)View on GitHub#

      Wraps with AMP.

      @@ -518,23 +518,23 @@

      Versions

      -class flair.trainers.plugins.AnnealingPlugin(base_path, min_learning_rate, anneal_factor, patience, initial_extra_patience, anneal_with_restarts)View on GitHub#
      +class flair.trainers.plugins.AnnealingPlugin(base_path, min_learning_rate, anneal_factor, patience, initial_extra_patience, anneal_with_restarts)View on GitHub#

      Bases: TrainerPlugin

      Plugin for annealing logic in Flair.

      -store_learning_rate()View on GitHub#
      +store_learning_rate()View on GitHub#
      -after_setup(train_with_dev, optimizer, **kw)View on GitHub#
      +after_setup(train_with_dev, optimizer, **kw)View on GitHub#

      Initialize different schedulers, including anneal target for AnnealOnPlateau, batch_growth_annealing, loading schedulers.

      -after_evaluation(current_model_is_best, validation_scores, **kw)View on GitHub#
      +after_evaluation(current_model_is_best, validation_scores, **kw)View on GitHub#

      Scheduler step of AnnealOnPlateau.

      @@ -542,11 +542,11 @@

      Versions

      -class flair.trainers.plugins.CheckpointPlugin(save_model_each_k_epochs, save_optimizer_state, base_path)View on GitHub#
      +class flair.trainers.plugins.CheckpointPlugin(save_model_each_k_epochs, save_optimizer_state, base_path)View on GitHub#

      Bases: TrainerPlugin

      -after_training_epoch(epoch, **kw)View on GitHub#
      +after_training_epoch(epoch, **kw)View on GitHub#

      Saves the model each k epochs.

      @@ -554,29 +554,29 @@

      Versions

      -class flair.trainers.plugins.LinearSchedulerPlugin(warmup_fraction, **kwargs)View on GitHub#
      +class flair.trainers.plugins.LinearSchedulerPlugin(warmup_fraction, **kwargs)View on GitHub#

      Bases: TrainerPlugin

      Plugin for LinearSchedulerWithWarmup.

      -store_learning_rate()View on GitHub#
      +store_learning_rate()View on GitHub#
      -after_setup(dataset_size, mini_batch_size, max_epochs, **kw)View on GitHub#
      +after_setup(dataset_size, mini_batch_size, max_epochs, **kw)View on GitHub#

      Initialize different schedulers, including anneal target for AnnealOnPlateau, batch_growth_annealing, loading schedulers.

      -before_training_epoch(**kw)View on GitHub#
      +before_training_epoch(**kw)View on GitHub#

      Load state for anneal_with_restarts, batch_growth_annealing, logic for early stopping.

      -after_training_batch(optimizer_was_run, **kw)View on GitHub#
      +after_training_batch(optimizer_was_run, **kw)View on GitHub#

      Do the scheduler step if one-cycle or linear decay.

      @@ -584,12 +584,12 @@

      Versions

      -class flair.trainers.plugins.WeightExtractorPlugin(base_path)View on GitHub#
      +class flair.trainers.plugins.WeightExtractorPlugin(base_path)View on GitHub#

      Bases: TrainerPlugin

      Simple Plugin for weight extraction.

      -after_training_batch(batch_no, epoch, total_number_of_batches, **kw)View on GitHub#
      +after_training_batch(batch_no, epoch, total_number_of_batches, **kw)View on GitHub#

      Extracts weights.

      @@ -597,36 +597,36 @@

      Versions

      -class flair.trainers.plugins.LogFilePlugin(base_path)View on GitHub#
      +class flair.trainers.plugins.LogFilePlugin(base_path)View on GitHub#

      Bases: TrainerPlugin

      Plugin for the training.log file.

      -close_file_handler(**kw)View on GitHub#
      +close_file_handler(**kw)View on GitHub#
      -class flair.trainers.plugins.LossFilePlugin(base_path, epoch, metrics_to_collect=None)View on GitHub#
      +class flair.trainers.plugins.LossFilePlugin(base_path, epoch, metrics_to_collect=None)View on GitHub#

      Bases: TrainerPlugin

      Plugin that manages the loss.tsv file output.

      -before_training_epoch(epoch, **kw)View on GitHub#
      +before_training_epoch(epoch, **kw)View on GitHub#

      Get the current epoch for loss file logging.

      -metric_recorded(record)View on GitHub#
      +metric_recorded(record)View on GitHub#

      Add the metric of a record to the current row.

      -after_evaluation(epoch, **kw)View on GitHub#
      +after_evaluation(epoch, **kw)View on GitHub#

      This prints all relevant metrics.

      @@ -634,16 +634,16 @@

      Versions

      -class flair.trainers.plugins.MetricHistoryPlugin(metrics_to_collect={('dev', 'loss'): 'dev_loss_history', ('dev', 'score'): 'dev_score_history', ('train', 'loss'): 'train_loss_history'})View on GitHub#
      +class flair.trainers.plugins.MetricHistoryPlugin(metrics_to_collect={('dev', 'loss'): 'dev_loss_history', ('dev', 'score'): 'dev_score_history', ('train', 'loss'): 'train_loss_history'})View on GitHub#

      Bases: TrainerPlugin

      -metric_recorded(record)View on GitHub#
      +metric_recorded(record)View on GitHub#
      -after_training(**kw)View on GitHub#
      +after_training(**kw)View on GitHub#

      Returns metric history.

      @@ -651,12 +651,12 @@

      Versions

      -class flair.trainers.plugins.TensorboardLogger(log_dir=None, comment='', tracked_metrics=())View on GitHub#
      +class flair.trainers.plugins.TensorboardLogger(log_dir=None, comment='', tracked_metrics=())View on GitHub#

      Bases: TrainerPlugin

      Plugin that takes care of tensorboard logging.

      -__init__(log_dir=None, comment='', tracked_metrics=())View on GitHub#
      +__init__(log_dir=None, comment='', tracked_metrics=())View on GitHub#

      Initializes the TensorboardLogger.

      Parameters:
      @@ -672,12 +672,12 @@

      Versions

      -metric_recorded(record)View on GitHub#
      +metric_recorded(record)View on GitHub#
      -_training_finally(**kw)View on GitHub#
      +_training_finally(**kw)View on GitHub#

      Closes the writer.

      @@ -685,30 +685,30 @@

      Versions

      -class flair.trainers.plugins.BasePluginView on GitHub#
      +class flair.trainers.plugins.BasePluginView on GitHub#

      Bases: object

      Base class for all plugins.

      -__init__()View on GitHub#
      +__init__()View on GitHub#

      Initialize the base plugin.

      -attach_to(pluggable)View on GitHub#
      +attach_to(pluggable)View on GitHub#

      Attach this plugin to a Pluggable.

      -detach()View on GitHub#
      +detach()View on GitHub#

      Detach a plugin from the Pluggable it is attached to.

      -classmethod mark_func_as_hook(func, *events)View on GitHub#
      +classmethod mark_func_as_hook(func, *events)View on GitHub#

      Mark method as a hook triggered by the Pluggable.

      Return type:
      @@ -719,7 +719,7 @@

      Versions

      -classmethod hook(first_arg=None, *other_args)View on GitHub#
      +classmethod hook(first_arg=None, *other_args)View on GitHub#

      Convience function for BasePlugin.mark_func_as_hook).

      Enables using the @BasePlugin.hook syntax.

      Can also be used as: @@ -740,7 +740,7 @@

      Versions

      -class flair.trainers.plugins.Pluggable(*, plugins=[])View on GitHub#
      +class flair.trainers.plugins.Pluggable(*, plugins=[])View on GitHub#

      Bases: object

      Dispatches events which attached plugins can react to.

      @@ -750,7 +750,7 @@

      Versions

      -__init__(*, plugins=[])View on GitHub#
      +__init__(*, plugins=[])View on GitHub#

      Initialize a Pluggable.

      Parameters:
      @@ -766,17 +766,17 @@

      Versions

      -append_plugin(plugin)View on GitHub#
      +append_plugin(plugin)View on GitHub#
      -validate_event(*events)View on GitHub#
      +validate_event(*events)View on GitHub#
      -register_hook(func, *events)View on GitHub#
      +register_hook(func, *events)View on GitHub#

      Register a hook.

      Parameters:
      @@ -790,7 +790,7 @@

      Versions

      -dispatch(event, *args, **kwargs)View on GitHub#
      +dispatch(event, *args, **kwargs)View on GitHub#

      Call all functions hooked to a certain event.

      Return type:
      @@ -801,7 +801,7 @@

      Versions

      -remove_hook(handle)View on GitHub#
      +remove_hook(handle)View on GitHub#

      Remove a hook handle from this instance.

      @@ -809,7 +809,7 @@

      Versions

      -class flair.trainers.plugins.TrainerPluginView on GitHub#
      +class flair.trainers.plugins.TrainerPluginView on GitHub#

      Bases: BasePlugin

      @@ -830,25 +830,25 @@

      Versions

      -exception flair.trainers.plugins.TrainingInterruptView on GitHub#
      +exception flair.trainers.plugins.TrainingInterruptView on GitHub#

      Bases: Exception

      Allows plugins to interrupt the training loop.

      -class flair.trainers.plugins.MetricName(name)View on GitHub#
      +class flair.trainers.plugins.MetricName(name)View on GitHub#

      Bases: object

      -class flair.trainers.plugins.MetricRecord(name, value, global_step, typ, *, walltime=None)View on GitHub#
      +class flair.trainers.plugins.MetricRecord(name, value, global_step, typ, *, walltime=None)View on GitHub#

      Bases: object

      Represents a recorded metric value.

      -__init__(name, value, global_step, typ, *, walltime=None)View on GitHub#
      +__init__(name, value, global_step, typ, *, walltime=None)View on GitHub#

      Create a metric record.

      Parameters:
      @@ -870,27 +870,27 @@

      Versions

      -classmethod scalar(name, value, global_step, *, walltime=None)View on GitHub#
      +classmethod scalar(name, value, global_step, *, walltime=None)View on GitHub#
      -classmethod scalar_list(name, value, global_step, *, walltime=None)View on GitHub#
      +classmethod scalar_list(name, value, global_step, *, walltime=None)View on GitHub#
      -classmethod string(name, value, global_step, *, walltime=None)View on GitHub#
      +classmethod string(name, value, global_step, *, walltime=None)View on GitHub#
      -classmethod histogram(name, value, global_step, *, walltime=None)View on GitHub#
      +classmethod histogram(name, value, global_step, *, walltime=None)View on GitHub#
      -is_type(typ)View on GitHub#
      +is_type(typ)View on GitHub#
      diff --git a/doc-page/api/index.html b/master/api/index.html similarity index 99% rename from doc-page/api/index.html rename to master/api/index.html index d0f04b0ad2..3c7685b023 100644 --- a/doc-page/api/index.html +++ b/master/api/index.html @@ -412,7 +412,7 @@

      Versions

      diff --git a/doc-page/contributing/index.html b/master/contributing/index.html similarity index 99% rename from doc-page/contributing/index.html rename to master/contributing/index.html index d4d6664e40..3b73bf9944 100644 --- a/doc-page/contributing/index.html +++ b/master/contributing/index.html @@ -406,7 +406,7 @@

      Versions

      diff --git a/doc-page/contributing/local_development.html b/master/contributing/local_development.html similarity index 99% rename from doc-page/contributing/local_development.html rename to master/contributing/local_development.html index 45a1ca1b87..5c721aa7f7 100644 --- a/doc-page/contributing/local_development.html +++ b/master/contributing/local_development.html @@ -411,7 +411,7 @@

      Versions

      diff --git a/doc-page/contributing/making_a_pull_request.html b/master/contributing/making_a_pull_request.html similarity index 99% rename from doc-page/contributing/making_a_pull_request.html rename to master/contributing/making_a_pull_request.html index 82259e2f94..7bf084b616 100644 --- a/doc-page/contributing/making_a_pull_request.html +++ b/master/contributing/making_a_pull_request.html @@ -409,7 +409,7 @@

      Versions

      diff --git a/doc-page/contributing/updating_documentation.html b/master/contributing/updating_documentation.html similarity index 99% rename from doc-page/contributing/updating_documentation.html rename to master/contributing/updating_documentation.html index a473a32161..457c866350 100644 --- a/doc-page/contributing/updating_documentation.html +++ b/master/contributing/updating_documentation.html @@ -411,7 +411,7 @@

      Versions

      diff --git a/doc-page/contributing/writing_a_good_issue.html b/master/contributing/writing_a_good_issue.html similarity index 99% rename from doc-page/contributing/writing_a_good_issue.html rename to master/contributing/writing_a_good_issue.html index e7347b68e1..3230d05948 100644 --- a/doc-page/contributing/writing_a_good_issue.html +++ b/master/contributing/writing_a_good_issue.html @@ -409,7 +409,7 @@

      Versions

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