Deepparse

Latest version: v0.9.13

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0.4.3

- Fixed typos in one of the file names.
- Added tools to compare addresses (tagged or not).
- Fixed some test errors.

0.4.2

- Added `__eq__` method to `FormattedParsedAddress`.
- Improved device management.
- Improved testing.

0.4.1

- Added method to specify the format of address components of a `FormattedParsedAddress.` Formatting can specify the
field separator, the field to be capitalized, and the field to be upper case.

0.4

- Added a verbose flag to the training and a test based on the __init__ of the address parser.
- Added a feature to retrain our models with a prediction tags dictionary that is different from the default one.
- Added in-documentation code examples.
- Added code examples.
- Small improvement of model implementation.

0.3.6

- Added a method for dictionary conversion of parsed addresses for simpler `Pandas` integration.
- Added examples for parsing addresses and how to convert them into a DataFrame.
- Fixed error with the download module.

0.3.5

- Added a verbose flag to the training and test based on the __init__ of the address parser.
- **Breaking change** Since [SciPy 1.6](https://github.com/scipy/scipy/releases/tag/v1.6.0) is released on Python `3.7+`
, we don't support Python `3.6`.
- Added management for Windows where the FastText model cannot be pickled. We use the Gensim fasttext model on Windows,
which takes more RAM.

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