Index

_

__call__() (lenskit.crossfold.PartitionMethod method) _CSR (class in lenskit.matrix)

_dcg() (in module lenskit.metrics.topn) _dposv() (in module lenskit.math.solve) _dtrsv() (in module lenskit.math.solve)

A

adapt() (lenskit.algorithms.Recommender class method) add_algorithms() (lenskit.batch.MultiEval method) add_datasets() (lenskit.batch.MultiEval method)

add_metric() (lenskit.topn.RecListAnalysis method) Algorithm (class in lenskit.algorithms) ALS (class in lenskit.algorithms.implicit) available (lenskit.datasets.ML100K attribute)

B

Bias (class in lenskit.algorithms.basic) BiasedMF (class in lenskit.algorithms.als)

BiasMFPredictor (class in lenskit.algorithms.mf_common) BPR (class in lenskit.algorithms.implicit)

C

candidates() (lenskit.algorithms.basic.UnratedItemCandidateSelector method) (lenskit.algorithms.CandidateSelector method) CandidateSelector (class in lenskit.algorithms) clone() (in module lenskit.util)

colinds (lenskit.matrix.CSR attribute) collect_results() (lenskit.batch.MultiEval method) compute() (lenskit.topn.RecListAnalysis method) CSR (class in lenskit.matrix)

D

DataWarning (class in lenskit)

dposv() (in module lenskit.math.solve)

E

empty() (lenskit.matrix.CSR class method)

F

Fallback (class in lenskit.algorithms.basic) fit() (lenskit.algorithms.Algorithm method) (lenskit.algorithms.als.BiasedMF method) (lenskit.algorithms.als.ImplicitMF method) (lenskit.algorithms.basic.Bias method) (lenskit.algorithms.basic.Fallback method) (lenskit.algorithms.basic.Memorized method) (lenskit.algorithms.basic.Popular method) (lenskit.algorithms.basic.TopN method) (lenskit.algorithms.basic.UnratedItemCandidateSelector method) (lenskit.algorithms.funksvd.FunkSVD method) (lenskit.algorithms.hpf.HPF method) (lenskit.algorithms.item_knn.ItemItem method) (lenskit.algorithms.user_knn.UserUser method)

from_coo() (lenskit.matrix.CSR class method) from_scipy() (lenskit.matrix.CSR class method) FunkSVD (class in lenskit.algorithms.funksvd)

G

get_params() (lenskit.algorithms.Algorithm method)

global_bias_ (lenskit.algorithms.mf_common.BiasMFPredictor attribute)

H

HPF (class in lenskit.algorithms.hpf)

I

ImplicitMF (class in lenskit.algorithms.als) item_bias_ (lenskit.algorithms.mf_common.BiasMFPredictor attribute) item_counts_ (lenskit.algorithms.item_knn.ItemItem attribute) item_features_ (lenskit.algorithms.mf_common.BiasMFPredictor attribute) (lenskit.algorithms.mf_common.MFPredictor attribute) item_index_ (lenskit.algorithms.item_knn.ItemItem attribute) (lenskit.algorithms.mf_common.BiasMFPredictor attribute) (lenskit.algorithms.mf_common.MFPredictor attribute) (lenskit.algorithms.user_knn.UserUser attribute)

item_means_ (lenskit.algorithms.item_knn.ItemItem attribute) item_offsets_ (lenskit.algorithms.basic.Bias attribute) ItemItem (class in lenskit.algorithms.item_knn) items (lenskit.matrix.RatingMatrix attribute) items_ (lenskit.algorithms.basic.UnratedItemCandidateSelector attribute)

L

LastFrac() (in module lenskit.crossfold) LastN() (in module lenskit.crossfold) lenskit.algorithms (module), [1] lenskit.algorithms.als (module), [1] lenskit.algorithms.basic (module) lenskit.algorithms.funksvd (module) lenskit.algorithms.hpf (module) lenskit.algorithms.implicit (module) lenskit.algorithms.item_knn (module) lenskit.algorithms.mf_common (module) lenskit.algorithms.user_knn (module)

lenskit.batch (module) lenskit.crossfold (module) lenskit.datasets (module) lenskit.math.solve (module) lenskit.matrix (module) lenskit.metrics.predict (module) lenskit.metrics.topn (module) lenskit.topn (module) lenskit.util (module) links (lenskit.datasets.MovieLens attribute) lookup_items() (lenskit.algorithms.mf_common.MFPredictor method) lookup_user() (lenskit.algorithms.mf_common.MFPredictor method)

M

mae() (in module lenskit.metrics.predict) matrix (lenskit.matrix.RatingMatrix attribute) mean_ (lenskit.algorithms.basic.Bias attribute) Memorized (class in lenskit.algorithms.basic) MFPredictor (class in lenskit.algorithms.mf_common) ML100K (class in lenskit.datasets)

ML10M (class in lenskit.datasets) ML1M (class in lenskit.datasets) MovieLens (class in lenskit.datasets) movies (lenskit.datasets.ML10M attribute) (lenskit.datasets.ML1M attribute) (lenskit.datasets.MovieLens attribute) MultiEval (class in lenskit.batch)

N

N (lenskit.matrix.CSR attribute) n_features (lenskit.algorithms.mf_common.MFPredictor attribute) n_items (lenskit.algorithms.mf_common.MFPredictor attribute) n_users (lenskit.algorithms.mf_common.MFPredictor attribute)

ncols (lenskit.matrix.CSR attribute) ndcg() (in module lenskit.metrics.topn) nnz (lenskit.matrix.CSR attribute) normalize_rows() (lenskit.matrix.CSR method) nrows (lenskit.matrix.CSR attribute)

P

partition_rows() (in module lenskit.crossfold) partition_users() (in module lenskit.crossfold) PartitionMethod (class in lenskit.crossfold) persist_data() (lenskit.batch.MultiEval method) Popular (class in lenskit.algorithms.basic) precision() (in module lenskit.metrics.topn) predict() (in module lenskit.batch) (lenskit.algorithms.Predictor method) (lenskit.algorithms.basic.TopN method) predict_for_user() (lenskit.algorithms.als.BiasedMF method) (lenskit.algorithms.Predictor method) (lenskit.algorithms.als.ImplicitMF method) (lenskit.algorithms.basic.Bias method) (lenskit.algorithms.basic.Fallback method) (lenskit.algorithms.basic.Memorized method) (lenskit.algorithms.basic.TopN method) (lenskit.algorithms.funksvd.FunkSVD method) (lenskit.algorithms.hpf.HPF method) (lenskit.algorithms.item_knn.ItemItem method) (lenskit.algorithms.user_knn.UserUser method)

Predictor (class in lenskit.algorithms)

R

rated_items() (lenskit.algorithms.CandidateSelector static method) rating_matrix_ (lenskit.algorithms.item_knn.ItemItem attribute) (lenskit.algorithms.user_knn.UserUser attribute) RatingMatrix (class in lenskit.matrix) ratings (lenskit.datasets.ML100K attribute) (lenskit.datasets.ML10M attribute) (lenskit.datasets.ML1M attribute) (lenskit.datasets.MovieLens attribute) recall() (in module lenskit.metrics.topn) recip_rank() (in module lenskit.metrics.topn) RecListAnalysis (class in lenskit.topn) recommend() (in module lenskit.batch) (lenskit.algorithms.Recommender method) (lenskit.algorithms.basic.Popular method) (lenskit.algorithms.basic.TopN method)

Recommender (class in lenskit.algorithms) rmse() (in module lenskit.metrics.predict) row() (lenskit.matrix.CSR method) row_cs() (lenskit.matrix.CSR method) row_extent() (lenskit.matrix.CSR method) row_nnzs() (lenskit.matrix.CSR method) row_vs() (lenskit.matrix.CSR method) rowinds() (lenskit.matrix.CSR method) rowptrs (lenskit.matrix.CSR attribute) run() (lenskit.batch.MultiEval method) run_count() (lenskit.batch.MultiEval method)

S

sample_rows() (in module lenskit.crossfold) sample_users() (in module lenskit.crossfold) SampleFrac() (in module lenskit.crossfold) SampleN() (in module lenskit.crossfold) score() (lenskit.algorithms.mf_common.BiasMFPredictor method) (lenskit.algorithms.mf_common.MFPredictor method)

sim_matrix_ (lenskit.algorithms.item_knn.ItemItem attribute) solve_tri() (in module lenskit.math.solve) sort_values() (lenskit.matrix.CSR method) sparse_ratings() (in module lenskit.matrix)

T

tag_genome (lenskit.datasets.MovieLens attribute) tags (lenskit.datasets.MovieLens attribute) test (lenskit.crossfold.TTPair attribute) to_scipy() (lenskit.matrix.CSR method)

TopN (class in lenskit.algorithms.basic) train (lenskit.crossfold.TTPair attribute) transpose() (lenskit.matrix.CSR method) transpose_matrix_ (lenskit.algorithms.user_knn.UserUser attribute) TTPair (class in lenskit.crossfold)

U

UnratedItemCandidateSelector (class in lenskit.algorithms.basic) user_bias_ (lenskit.algorithms.mf_common.BiasMFPredictor attribute) user_features_ (lenskit.algorithms.mf_common.BiasMFPredictor attribute) (lenskit.algorithms.mf_common.MFPredictor attribute) user_index_ (lenskit.algorithms.item_knn.ItemItem attribute) (lenskit.algorithms.mf_common.BiasMFPredictor attribute) (lenskit.algorithms.mf_common.MFPredictor attribute) (lenskit.algorithms.user_knn.UserUser attribute)

user_items_ (lenskit.algorithms.basic.UnratedItemCandidateSelector attribute) user_means_ (lenskit.algorithms.user_knn.UserUser attribute) user_offsets_ (lenskit.algorithms.basic.Bias attribute) users (lenskit.datasets.ML100K attribute) (lenskit.datasets.ML1M attribute) (lenskit.matrix.RatingMatrix attribute) users_ (lenskit.algorithms.basic.UnratedItemCandidateSelector attribute) UserUser (class in lenskit.algorithms.user_knn)

V

values (lenskit.matrix.CSR attribute)