0.9.13

0.9.13

Fix dependency issues with Gensim and Scipy versions.

0.9.12

0.9.12

• Bug-fix the call to the BPEmb class instead of the BPEmbBaseURLWrapperBugFix to fix the download URL in download_models.

0.9.11

0.9.11

• Fix Sentry version error in Docker Image.

0.9.10

• Fix and improve documentation.
• Remove fixed dependencies version.
• Fix app errors.
• Add data validation for 1) multiple consecutive whitespace and 2) newline.
• Fixes some errors in tests.
• Add an argument to the DatasetContainer interface to use a pre-processing data cleaning function before validation.
• Hot-fix the issue with the BPEmb base URL download problem. See issue 221.
• Fix the NumPy version due to a major release with breaking changes.
• Fix the SciPy version due to breaking change with Gensim.
• Fix circular import in the API app.
• Fix deprecated max_request_body_size in Sentry.

0.9.9

• Add version to Seq2Seq and AddressParser.
• Add a Deepparse as an API using FastAPI.
• Add a Dockerfile and a docker-compose.yml to build a Docker container for the API.
• Bug-fix the default pre-processors that were not all apply but only the last one.

0.9.8 and weights release

• Hot-Fix wheel install (See issue 196).

0.9.7

• New models release with more meta-data.
• Add a feature to use an AddressParser from a URI.
• Add a feature to upload the trained model to a URI.
• Add an example of how to use URI for parsing from and uploading to.
• Improve error handling of path_to_retrain_model.
• Bug-fix pre-processor error.
• Add verbose override and improve verbosity handling in retrain.
• Bug-fix the broken FastText installation using fasttext-wheel instead of fasttext (
  see here
  and here).

0.9.6

• Add Python 3.11.
• Add pre-processor when parsing addresses.
• Add pin_memory=True when using a CUDA device to increase performance as suggested
• by Torch documentation.
• Add torch.no_grad() context manager in call() to increase performance.
• Reduce memory swap between CPU and GPU by instantiating Tensor directly on the GPU device.
• Improve some Warnings clarity (i.e. category and message).
• Bug-fix MacOS multiprocessing. It was impossible to use in multiprocess since we were not testing whether torch
• multiprocess was set properly. Now, we set it properly and raise a warning instead of an error.
• Drop Python 3.7 support since newer Python versions are faster
• and Torch 2.0 does not support Python 3.7.
• Improve error handling with wrong checkpoint loading in AddressParser retrain_path use.
• Add torch.compile integration to improve performance (Torch 1.x still supported) with mode="reduce-overhead" as
• suggested in the documentation. It
• increases the performance by about 1/100.

0.9.5

• Fixed tags converter bug with data processor.

0.9.4

Improve codebase.