Deepparse

Latest version: v0.9.13

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0.9.1

- Hot-fix cli.download_model attention model bug

0.9

- Add `save_model_weights` method to `AddressParser` to save model weights (PyTorch state dictionary)
- Improve CI
- Added verbose flag for the test to activate or deactivate the test verbosity (it overrides the AddressParser verbosity)
- Add Docker image
- Add `val_dataset` to retrain API to allow the use of a specific val dataset for training
- Remove the deprecated `download_from_url` function
- Remove the deprecated `dataset_container` argument
- Fixed errors and docs
- Added the UK retrain example

0.8.3

- Add Zenodo DOI

0.8.2

- Bug-fix retrain attention model naming parsing
- Improve error handling when not a DatasetContainer is used in retraining and testing API

0.8.1

- Refactored function `download_from_url` to `download_from_public_repository`.
- Add error management when retraining a FastText-like model on Windows with several workers (`num_workers`) greater
than 0.
- Improve dev tooling
- Improve CI
- Improve code coverage and pylint
- Add Codacy

0.8

- Improve SEO
- Add cache_dir arg in all CLI functions
- Improve handling of HTTP errors in models version verification
- Improve doc
- Add a note for parsing data cleaning (i.e. lowercase, commas removal, and hyphen replacing).
- Add hyphen parsing cleaning step (with a bool flag to activate or not) to improve some country address parsing (
see [issue 137](https://github.com/GRAAL-Research/deepparse/issues/137)).
- Add ListDatasetContainer for the Python list dataset.

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