Index

_

__call__() (lenskit.crossfold.PartitionMethod method) __weakref__ (lenskit.crossfold.PartitionMethod attribute)

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

A

adapt() (lenskit.Recommender class method) add_metric() (lenskit.topn.RecListAnalysis method)

Algorithm (class in lenskit) available (lenskit.datasets.ML100K property)

B

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

BiasedSVD (class in lenskit.algorithms.svd) bulk_impl() (in module lenskit.metrics.topn)

C

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

clone() (in module lenskit.util) close() (lenskit.sharing.PersistedModel method) compute() (lenskit.topn.RecListAnalysis method) ConfigWarning (class in lenskit)

D

DataWarning (class in lenskit) dcg() (in module lenskit.metrics.topn)

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

E

EXTRA_PARAMS (lenskit.Algorithm attribute) (lenskit.algorithms.item_knn.ItemItem attribute) (lenskit.algorithms.user_knn.UserUser attribute)

F

Fallback (class in lenskit.algorithms.basic) fit() (lenskit.Algorithm method) (lenskit.algorithms.als.BiasedMF method) (lenskit.algorithms.als.ImplicitMF method) (lenskit.algorithms.basic.Fallback method) (lenskit.algorithms.basic.Memorized method) (lenskit.algorithms.basic.PopScore method) (lenskit.algorithms.basic.Popular method) (lenskit.algorithms.basic.Random method) (lenskit.algorithms.basic.UnratedItemCandidateSelector method) (lenskit.algorithms.bias.Bias method) (lenskit.algorithms.funksvd.FunkSVD method) (lenskit.algorithms.item_knn.ItemItem method) (lenskit.algorithms.ranking.PlackettLuce method) (lenskit.algorithms.ranking.TopN method) (lenskit.algorithms.svd.BiasedSVD method) (lenskit.algorithms.user_knn.UserUser method)

fit_iters() (lenskit.algorithms.als.BiasedMF method) fit_transform() (lenskit.algorithms.bias.Bias method) FunkSVD (class in lenskit.algorithms.funksvd)

G

get() (lenskit.sharing.PersistedModel method) get_params() (lenskit.Algorithm method) (lenskit.algorithms.svd.BiasedSVD method)

global_metric() (in module lenskit.metrics.predict)

H

hit() (in module lenskit.metrics.topn)

I

IGNORED_PARAMS (lenskit.Algorithm attribute) (lenskit.algorithms.item_knn.ItemItem attribute) (lenskit.algorithms.user_knn.UserUser attribute) ImplicitMF (class in lenskit.algorithms.als) in_share_context() (in module lenskit.sharing) init_rng() (in module lenskit.util) inverse_transform() (lenskit.algorithms.bias.Bias method) inverse_transform_user() (lenskit.algorithms.bias.Bias method) invoker() (in module lenskit.util.parallel) item_counts_ (lenskit.algorithms.item_knn.ItemItem attribute) item_features_ (lenskit.algorithms.mf_common.MFPredictor attribute)

item_index (lenskit.algorithms.bias.Bias property) item_index_ (lenskit.algorithms.item_knn.ItemItem 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.bias.Bias attribute) item_pop_ (lenskit.algorithms.basic.PopScore attribute) (lenskit.algorithms.basic.Popular attribute) ItemItem (class in lenskit.algorithms.item_knn) items (lenskit.data.RatingMatrix attribute), [1] items_ (lenskit.algorithms.basic.UnratedItemCandidateSelector attribute)

L

LastFrac() (in module lenskit.crossfold) LastN() (in module lenskit.crossfold) lenskit module lenskit.algorithms module lenskit.algorithms.als module lenskit.algorithms.basic module, [1], [2], [3], [4] lenskit.algorithms.bias module lenskit.algorithms.funksvd module lenskit.algorithms.item_knn module lenskit.algorithms.mf_common module lenskit.algorithms.ranking module lenskit.algorithms.svd module lenskit.algorithms.user_knn module lenskit.batch module

lenskit.crossfold module lenskit.data module lenskit.data.sampling module lenskit.datasets module lenskit.math.solve module lenskit.metrics.predict module lenskit.metrics.topn module lenskit.sharing module lenskit.topn module lenskit.util module lenskit.util.parallel module links (lenskit.datasets.MovieLens property) log_to_notebook() (in module lenskit.util) log_to_stderr() (in module lenskit.util) lookup_items() (lenskit.algorithms.mf_common.MFPredictor method) lookup_user() (lenskit.algorithms.mf_common.MFPredictor method)

M

mae() (in module lenskit.metrics.predict) map() (lenskit.util.parallel.ModelOpInvoker method) matrix (lenskit.data.RatingMatrix attribute), [1] mean_ (lenskit.algorithms.bias.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) ModelOpInvoker (class in lenskit.util.parallel) module lenskit lenskit.algorithms lenskit.algorithms.als lenskit.algorithms.basic, [1], [2], [3], [4] lenskit.algorithms.bias lenskit.algorithms.funksvd lenskit.algorithms.item_knn lenskit.algorithms.mf_common lenskit.algorithms.ranking lenskit.algorithms.svd lenskit.algorithms.user_knn lenskit.batch lenskit.crossfold lenskit.data lenskit.data.sampling lenskit.datasets lenskit.math.solve lenskit.metrics.predict lenskit.metrics.topn lenskit.sharing lenskit.topn lenskit.util lenskit.util.parallel

MovieLens (class in lenskit.datasets) movies (lenskit.datasets.ML100K property) (lenskit.datasets.ML10M property) (lenskit.datasets.ML1M property) (lenskit.datasets.MovieLens property)

N

n_features (lenskit.algorithms.mf_common.MFPredictor property) n_items (lenskit.algorithms.mf_common.MFPredictor property)

n_users (lenskit.algorithms.mf_common.MFPredictor property) ndcg() (in module lenskit.metrics.topn) neg_sample() (in module lenskit.data.sampling)

P

partition_rows() (in module lenskit.crossfold) partition_users() (in module lenskit.crossfold) PartitionMethod (class in lenskit.crossfold) persist() (in module lenskit.sharing) PersistedModel (class in lenskit.sharing) PlackettLuce (class in lenskit.algorithms.ranking) PopScore (class in lenskit.algorithms.basic) Popular (class in lenskit.algorithms.basic) precision() (in module lenskit.metrics.topn) predict() (in module lenskit.batch) (lenskit.algorithms.ranking.TopN method) (lenskit.Predictor method) predict_for_user() (lenskit.algorithms.als.BiasedMF method) (lenskit.algorithms.als.ImplicitMF method) (lenskit.algorithms.basic.Fallback method) (lenskit.algorithms.basic.Memorized method) (lenskit.algorithms.basic.PopScore method) (lenskit.algorithms.bias.Bias method) (lenskit.algorithms.funksvd.FunkSVD method) (lenskit.algorithms.item_knn.ItemItem method) (lenskit.algorithms.ranking.TopN method) (lenskit.algorithms.svd.BiasedSVD method) (lenskit.algorithms.user_knn.UserUser method) (lenskit.Predictor method)

Predictor (class in lenskit) proc_count() (in module lenskit.util) (in module lenskit.util.parallel)

R

Random (class in lenskit.algorithms.basic) rated_items() (lenskit.CandidateSelector static method) rating_matrix_ (lenskit.algorithms.item_knn.ItemItem attribute) (lenskit.algorithms.user_knn.UserUser attribute) RatingMatrix (class in lenskit.data) ratings (lenskit.datasets.ML100K property) (lenskit.datasets.ML10M property) (lenskit.datasets.ML1M property) (lenskit.datasets.MovieLens property) 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.basic.Popular method) (lenskit.algorithms.basic.Random method) (lenskit.algorithms.ranking.PlackettLuce method) (lenskit.algorithms.ranking.TopN method) (lenskit.Recommender method) Recommender (class in lenskit) rmse() (in module lenskit.metrics.predict) rng() (in module lenskit.util) rng_spec (lenskit.algorithms.basic.Random attribute) run_sp() (in module lenskit.util.parallel)

S

sample_rows() (in module lenskit.crossfold) sample_unweighted() (in module lenskit.data.sampling) sample_users() (in module lenskit.crossfold) sample_weighted() (in module lenskit.data.sampling) SampleFrac() (in module lenskit.crossfold) SampleN() (in module lenskit.crossfold)

score() (lenskit.algorithms.mf_common.MFPredictor method) selector (lenskit.algorithms.basic.Random attribute) sharing_mode() (in module lenskit.sharing) sim_matrix_ (lenskit.algorithms.item_knn.ItemItem attribute) sparse_ratings() (in module lenskit.data) Stopwatch (class in lenskit.util)

T

tag_genome (lenskit.datasets.MovieLens property) tags (lenskit.datasets.MovieLens property) test (lenskit.crossfold.TTPair attribute) TopN (class in lenskit.algorithms.ranking) train (lenskit.crossfold.TTPair attribute)

train_isolated() (in module lenskit.batch) transfer() (lenskit.sharing.PersistedModel method) transform() (lenskit.algorithms.bias.Bias method) transform_user() (lenskit.algorithms.bias.Bias method) transpose_matrix_ (lenskit.algorithms.user_knn.UserUser attribute) TTPair (class in lenskit.crossfold)

U

UnratedItemCandidateSelector (class in lenskit.algorithms.basic) user_features_ (lenskit.algorithms.mf_common.MFPredictor attribute) user_index (lenskit.algorithms.bias.Bias property) user_index_ (lenskit.algorithms.item_knn.ItemItem 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_metric() (in module lenskit.metrics.predict) user_offsets_ (lenskit.algorithms.bias.Bias attribute) users (lenskit.data.RatingMatrix attribute), [1] (lenskit.datasets.ML100K property) (lenskit.datasets.ML1M property) users_ (lenskit.algorithms.basic.UnratedItemCandidateSelector attribute) UserUser (class in lenskit.algorithms.user_knn)