- Added FastText light model using pymagnitude-light - Added fine-tuning API to allow fine-tuning of our models (retrain) - Added a method to test models (test) - Added metric, loss and dataset container to facilitate fine-tuning training - Added an example of fine-tuning - Added way to load retrain model when instantiation of AddressParser
0.1.3.1
- Added a verbose flag to trigger more messages during embedding loading - Added a verbose flag in model/embeddings download
0.1.3
- Added "contributing to" - Added fix for comma problem (56) - Added content in Address Parser documentation for tags definition - Fixed Pylint bug with PyTorch 1.6 - Fixed `pack_padded` CPU error with PyTorch's new release
0.1.2
- Modification of assets URL - Bug-fix dictionary use - Fixed logo - Fixed typo deepParse -> deepparse - Fixed authors in the setup
0.1
- Initial release of the pretrained models - Beta version of the API