lenskit#

Submodules#

`als`	LensKit ALS implementations.
`basic`	Basic and baseline pipeline components.
`batch`	Batch-run recommendation pipelines for evaluation.
`config`	LensKit general configuration
`data`	Data abstractions and data set access.
`diagnostics`	Warning and error classes and general LensKit diagnostic code.
`flexmf`	Flexible PyTorch matrix factorization models for LensKit.
`funksvd`	FunkSVD (biased MF).
`graphs`
`hpf`	Hierarchical Poisson factorization from `hpfrec`.
`implicit`	Bridges to recommendation models from `implicit`.
`knn`
`lazy`	Types and functions for lazy values. These are used mostly for pipeline inputs.
`logging`	Logging, progress, and resource records.
`math`	Mathematical helper routines.
`metrics`	Metrics for evaluating recommender outputs.
`operations`	Top-level LensKit functions for recommender operations.
`parallel`	LensKit parallel computation support.
`pipeline`	LensKit pipeline abstraction.
`random`	Utilities to manage randomness in LensKit and LensKit experiments.
`reranking`	top-N re-rankers.
`sklearn`	Recommendation models using SciKit-Learn.
`splitting`	Splitting data for train-test evaluation.
`state`	Support code for managing model state.
`stats`	LensKit statistical computations.
`stochastic`	Components for generating sochastic outputs in LensKit pipelines.
`testing`	LensKit test harnesses and utilities.
`torch`	PyTorch utility functions.
`training`	Interfaces and support for model training.
`tuning`	Tune parameters using Ray Tune.

lenskit.lenskit_config()#: Re-exported alias for lenskit.config.lenskit_config().

class lenskit.DatasetBuilder#: Re-exported alias for lenskit.data.DatasetBuilder.

lenskit.recommend()#: Re-exported alias for lenskit.operations.recommend().

class lenskit.Component#: Re-exported alias for lenskit.pipeline.Component.

class lenskit.RecPipelineBuilder#: Re-exported alias for lenskit.pipeline.RecPipelineBuilder.

lenskit.topn_pipeline()#: Re-exported alias for lenskit.pipeline.topn_pipeline().