0.10.0 - 2022-02-04¶
base.MiniBatchTransformer. Add support for mini-batches to
- Created this module to store estimator unit testing, rather than having it in the
compose.Suffixerthat respectively prepend and append a string to the features' name.
compose.Renamerto allow feature renaming following a mapping.
evaluate.progressive_validationto work with
- Make the
feature_extraction.TargetAggto be optional, allowing to calculate aggregates over the whole data.
feature_extraction.TargetLagger. Their functionality can be reproduced by combining
feature_extraction.Targetnow have a
stateproperty. It returns a
pandas.Seriesrepresenting the current aggregates values within each group.
- Created this module to store some stuff that was in the
utilsmodule but wasn't necessarily shared between modules.
- Renamed the
Recommenderbase class into
- Added a
rankmethod to each recommender.
reco.SurpriseWrapperas it wasn't really useful.
- Added an
is_contextualproperty to each ranker to indicate if a model makes use of contextual features or not.
stats.Coveach now have an
update_manymethod which accepts numpy arrays.
collections.dequeinstead where necessary.