models

Recommendation models (`rectools.models`)

Convenient wrappers for popular recommendation algorithms (ItemKNN, ALS, LightFM), also some custom implementations.

Models

models.DSSMModel models.EASEModel models.ImplicitALSWrapperModel models.ImplicitBPRWrapperModel models.ImplicitItemKNNWrapperModel models.LightFMWrapperModel models.PopularModel models.PopularInCategoryModel models.PureSVDModel models.RandomModel models.nn.bert4rec.BERT4RecModel models.nn.sasrec.SASRecModel

Modules

`rectools.models.base`	Base model.
`rectools.models.ease`	EASE model.
`rectools.models.implicit_als`
`rectools.models.implicit_bpr`
`rectools.models.implicit_knn`
`rectools.models.lightfm`
`rectools.models.nn`	Recommendation models based on neural nets.
`rectools.models.popular`	Popular model.
`rectools.models.popular_in_category`	Popular in category model.
`rectools.models.pure_svd`	SVD Model.
`rectools.models.random`	Random Model.
`rectools.models.rank`	Recommendation models (rectools.models.rank) :2: (WARNING/2) Title underline too short. Recommendation models (`rectools.models.rank`) ==============================================
`rectools.models.ranking`	Two-stage ranking Recommendation models (rectools.models.ranking) :2: (WARNING/2) Title underline too short. Two-stage ranking Recommendation models (`rectools.models.ranking`) ==============================================
`rectools.models.serialization`
`rectools.models.utils`	Useful functions.
`rectools.models.vector`	Base classes for vector models.