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@feldlime feldlime released this 13 May 15:08
· 52 commits to main since this release
v0.6.0
6a83a9e
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Learn about vigilant mode.

✨ Highlights ✨

  • Added support of recommendations for cold and warm users/items
  • Added support for Python 3.11 and 3.12
  • Stopped supporting Python 3.7 and old versions of some dependencies

All updates

Added

  • Warm users/items support in Dataset (#77)
  • Warm and cold users/items support in ModelBase and all possible models (#77, #120, #122)
  • Warm and cold users/items support in cross_validate (#77)
  • [Breaking] Default value for train dataset type and params for user and item dataset types in DSSMModel (#122)
  • [Breaking] n_factors and deterministic params to DSSMModel (#122)
  • Hit Rate metric (#124)
  • Python 3.11 support (without nmslib) (#126)
  • Python 3.12 support (without nmslib and lightfm) (#126)

Changed

  • Changed the logic of choosing random sampler for RandomModel and increased the sampling speed (#120)
  • [Breaking] Changed the logic of RandomModel: now the recommendations are different for repeated calls of recommend methods (#120)
  • Torch datasets to support warm recommendations (#122)
  • [Breaking] Replaced include_warm parameter in Dataset.get_user_item_matrix to pair include_warm_users and include_warm_items (#122)
  • [Breaking] Renamed torch datasets and dataset_type to train_dataset_type param in DSSMModel (#122)
  • [Breaking] Updated minimum versions of numpy, scipy, pandas, typeguard (#126)
  • [Breaking] Set restriction scipy < 1.13 (#126)

Removed

  • [Breaking] return_external_ids parameter in recommend and recommend_to_items model methods (#77)
  • [Breaking] Python 3.7 support (#126)
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