Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Fix "generator" language in word2vec docs #2935

Merged
merged 4 commits into from
Sep 16, 2020
Merged

Fix "generator" language in word2vec docs #2935

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
b89be94
Fix docs about Word2Vec (fix #2934)
polm Sep 8, 2020
78eef97
Fix langauge to make it clear streaming is supported
polm Sep 8, 2020
652dcfb
Update gensim/models/word2vec.py
mpenkov Sep 16, 2020
c1191ae
Update CHANGELOG.md
mpenkov Sep 16, 2020
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions CHANGELOG.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -15,6 +15,7 @@ This release contains a major refactoring.
### :books: Tutorial and doc improvements

* Clear up LdaModel documentation - remove claim that it accepts CSC matrix as input (PR [#2832](https://github.com/RaRe-Technologies/gensim/pull/2832), [@FyzHsn](https://github.com/FyzHsn))
* Fix "generator" language in word2vec docs (PR [#2935](https://github.com/RaRe-Technologies/gensim/pull/2935), __[@polm](https://github.com/polm)__)

## :warning: 3.8.x will be the last gensim version to support Py2.7. Starting with 4.0.0, gensim will only support Py3.5 and above

Expand Down
16 changes: 10 additions & 6 deletions gensim/models/word2vec.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -39,18 +39,22 @@

.. sourcecode:: pycon

>>> from gensim.test.utils import common_texts, get_tmpfile
>>> from gensim.test.utils import common_texts
>>> from gensim.models import Word2Vec
>>>
>>> path = get_tmpfile("word2vec.model")
>>>
>>> model = Word2Vec(common_texts, size=100, window=5, min_count=1, workers=4)
>>> model.save("word2vec.model")

The training is streamed, meaning `sentences` can be a generator, reading input data
from disk on-the-fly, without loading the entire corpus into RAM.

It also means you can continue training the model later:
The training is streamed, so ``sentences`` can be an iterable, reading input data
from disk on-the-fly. This lets you avoid loading the entire corpus into RAM.
However, note that because the iterable must be re-startable, `sentences` must
not be a generator. For an example of an appropriate iterator see
:class:`~gensim.models.word2vec.BrownCorpus`,
:class:`~gensim.models.word2vec.Text8Corpus` or
:class:`~gensim.models.word2vec.LineSentence`.

If you save the model you can continue training it later:

.. sourcecode:: pycon

Expand Down