0.8.0

✨ Highlights ✨

Option for debiased calculation to all of the TruePositive-based metrics (both ranking & classification). See our Debiased metrics calculation user guide for full info. Pass debias_config during metric's initialization to enable this feature.

All updates

Added

• debias_config parameter for classification and ranking metrics.
• New parameter is_debiased to calc_from_confusion_df, calc_per_user_from_confusion_df methods of classification metrics, calc_from_fitted, calc_per_user_from_fitted methods of auc and rankning (MAP) metrics, calc_from_merged, calc_per_user_from_merged methods of ranking (NDCG, MRR) metrics. (#152)
• nbformat >= 4.2.0 dependency to [visuals] extra (#169)
• filter_interactions method of Dataset (#177)
• on_unsupported_targets parameter to recommend and recommend_to_items model methods (#177)
• Use nmslib-metabrainz for Python 3.11 and upper (#180)

Fixed

• display() method in MetricsApp (#169)
• IntraListDiversity metric computation in cross_validate (#177)
• Allow warp-kos loss for LightFMWrapperModel (#175)

Removed

• [Breaking] assume_external_ids parameter in recommend and recommend_to_items model methods (#177)

New contributors

@chezou made their first contribution in #180 and #175