0.9.0

✨ Highlights ✨

• Models initialisation from configs is introduced! As well as getting hyper-params and getting configs. We have one common function for all models: model_from_config. And we have methods for specific models: from_config, get_config, get_params.
• Models saving and loading is introduced with load_model common function and model methods save and load.
  Please see details for configs and save+load usage in example. All models support new functions except DSSMModel.
• fit_partial method is introduced for ImplicitALSWrapperModel and LightFMWrapperModel. These models can now resume training from the previous point.
• LightFM Python 3.12+ support!

All updates

Added

• from_config, get_config and get_params methods to all models except neural-net-based (#170)
• fit_partial implementation for ImplicitALSWrapperModel and LightFMWrapperModel (#203, #210, #223)
• save and load methods to all of the models (#206)
• Model configs example (#207,#219)
• use_gpu argument to ImplicitRanker.rank method (#201)
• keep_extra_cols argument to Dataset.construct and Interactions.from_raw methods. include_extra_cols argument to Dataset.get_raw_interactions and Interactions.to_external methods (#208)
• dtype adjustment to recommend, recommend_to_items methods of ModelBase (#211)
• load_model function (#213)
• model_from_config function (#214)
• get_cat_features method to SparseFeatures (#221)
• LightFM Python 3.12+ support (#224)

Fixed

• Implicit ALS matrix zero assignment size (#228)

Removed

• [Breaking] Python 3.8 support (#222)

New contributors

@spirinamayya made their first contribution in #211
@Waujito made their first contribution in #201