API References

Recommenders

BaseRecommender	Defines a common interface for all recommendation models
FMRecommender	FM recommender based on LightFM.
IALSRecommender	iALS recommender based on implicit.

Evaluation

RankingMetrics	Ranking metrics to evaluate the recommended quality: DCG/nDCG/MAP.
RankingDistance	Distance between ordered lists.
DiversityMetrics	Metrics to evalutate the diversity level of recommended results.
CosineRelevanceMetric	Relevance metric based on cosine distance.
InnerProductRelevanceMetric	Relevance metric based on inner-product.

Diversity

MaximalMarginalRelevance	Improve the diversity with Maximal Marginal Relevance algorithm.
SlidingSpectrumDecomposition	Improve the diversity with Sliding Spectrum Decomposition algorithm.

Dataloader

BaseDownloader	Base downloader for all Movielens datasets.
MovieLens100KDownLoader	MovieLens dataset downLoader for 100K interactions.
MovieLens1MDownLoader	MovieLens dataset downLoader for 1M interactions.

Embedding

BaseEmbedder	Base embedding API for all pre-trained embedding.
FastTextEmbedder	Embedding extracted from fastText for Movielens dataset.

Encoding

BaseEncoder	Base encoder for all encodes' mappings.
GeoEncoder	Plotly Sample Datasets.

Aggregation

RankProduct	Rank product is a biologically motivated test to combine the lists to a comprehensive rank.
PMF	Probability mass function for re-ranking matrix.