Index _ | A | B | C | D | E | F | G | H | I | L | M | N | P | R | S | T | U | V | W _ __call__() (lenskit.crossfold.PartitionMethod method) __weakref__ (lenskit.crossfold.PartitionMethod attribute) _dcg() (in module lenskit.metrics.topn) A adapt() (lenskit.algorithms.Recommender class method) add_metric() (lenskit.topn.RecListAnalysis method) Algorithm (class in lenskit.algorithms) ALS (class in lenskit.implicit) als_half_epoch() (lenskit.algorithms.als.BiasedMF method) (lenskit.algorithms.als.ImplicitMF method) B Bias (class in lenskit.algorithms.bias) BiasedMF (class in lenskit.algorithms.als) BiasedSVD (class in lenskit.algorithms.svd) BPR (class in lenskit.implicit) bulk_impl() (in module lenskit.metrics.topn) C candidates() (lenskit.algorithms.basic.UnratedItemCandidateSelector method) (lenskit.algorithms.CandidateSelector method) CandidateSelector (class in lenskit.algorithms) chunk_count (lenskit.parallel.chunking.WorkChunks attribute) chunk_size (lenskit.parallel.chunking.WorkChunks attribute) clone() (in module lenskit.util) compute() (lenskit.topn.RecListAnalysis method) ConfigWarning (class in lenskit.diagnostics) copy() (lenskit.data.vocab.Vocabulary method) count() (lenskit.data.Dataset method) create() (lenskit.parallel.chunking.WorkChunks class method) D Dataset (class in lenskit.data) DataWarning (class in lenskit.diagnostics) dcg() (in module lenskit.metrics.topn) derivable_rng() (in module lenskit.util) E ensure_parallel_init() (in module lenskit.parallel) EntityId (in module lenskit.data.vocab) environment variable LK_NUM_BACKEND_THREADS, [1] LK_NUM_CHILD_THREADS, [1] LK_NUM_PROCS, [1] LK_NUM_THREADS, [1] EXTRA_PARAMS (lenskit.algorithms.Algorithm attribute) (lenskit.algorithms.knn.ItemItem attribute) (lenskit.algorithms.knn.UserUser attribute) F Fallback (class in lenskit.algorithms.basic) finalize_scores() (lenskit.algorithms.als.BiasedMF method) fit() (lenskit.algorithms.Algorithm method) (lenskit.algorithms.als.ImplicitMF method) (lenskit.algorithms.basic.Fallback method) (lenskit.algorithms.basic.Memorized method) (lenskit.algorithms.basic.PopScore method) (lenskit.algorithms.basic.Random method) (lenskit.algorithms.basic.UnratedItemCandidateSelector method) (lenskit.algorithms.bias.Bias method) (lenskit.algorithms.knn.ItemItem method) (lenskit.algorithms.knn.UserUser method) (lenskit.algorithms.ranking.PlackettLuce method) (lenskit.algorithms.ranking.TopN method) (lenskit.algorithms.svd.BiasedSVD method) (lenskit.funksvd.FunkSVD method) fit_transform() (lenskit.algorithms.bias.Bias method) FunkSVD (class in lenskit.funksvd) G get_params() (lenskit.algorithms.Algorithm method) (lenskit.algorithms.svd.BiasedSVD method) global_metric() (in module lenskit.metrics.predict) H hit() (in module lenskit.metrics.topn) I id() (lenskit.data.vocab.Vocabulary method) ids() (lenskit.data.vocab.Vocabulary method) IGNORED_PARAMS (lenskit.algorithms.Algorithm attribute) (lenskit.algorithms.knn.ItemItem attribute) (lenskit.algorithms.knn.UserUser attribute) ImplicitMF (class in lenskit.algorithms.als) index (lenskit.data.vocab.Vocabulary property) initial_params() (lenskit.algorithms.als.BiasedMF method) (lenskit.algorithms.als.ImplicitMF method) initialize() (in module lenskit.parallel) interaction_count (lenskit.data.Dataset property) interaction_log() (lenskit.data.Dataset method) interaction_matrix() (lenskit.data.Dataset method) inverse_transform() (lenskit.algorithms.bias.Bias method) inverse_transform_user() (lenskit.algorithms.bias.Bias method) invoke_progress() (in module lenskit.parallel) invoker() (in module lenskit.parallel) item_counts_ (lenskit.algorithms.knn.ItemItem attribute) item_features_ (lenskit.algorithms.mf_common.MFPredictor attribute) item_index (lenskit.algorithms.bias.Bias property) item_means_ (lenskit.algorithms.knn.ItemItem attribute) item_nums (lenskit.data.tables.NumpyUserItemTable attribute) (lenskit.data.tables.TorchUserItemTable attribute) item_offsets_ (lenskit.algorithms.bias.Bias attribute) item_pop_ (lenskit.algorithms.basic.PopScore attribute) item_stats() (lenskit.data.Dataset method) ItemItem (class in lenskit.algorithms.knn) items (lenskit.data.Dataset property) items_ (lenskit.algorithms.basic.UnratedItemCandidateSelector attribute) (lenskit.algorithms.knn.ItemItem attribute) (lenskit.algorithms.knn.UserUser attribute) (lenskit.algorithms.mf_common.MFPredictor attribute) L LastFrac() (in module lenskit.crossfold) LastN() (in module lenskit.crossfold) lenskit.algorithms module, [1] lenskit.algorithms.als module lenskit.algorithms.basic module, [1], [2], [3], [4] lenskit.algorithms.bias module lenskit.algorithms.knn module lenskit.algorithms.mf_common module lenskit.algorithms.ranking module lenskit.algorithms.svd module lenskit.batch module lenskit.crossfold module lenskit.data module lenskit.data.tables module lenskit.data.vocab module lenskit.funksvd module lenskit.hpf module lenskit.implicit module lenskit.math.solve module lenskit.metrics.predict module lenskit.metrics.topn module lenskit.parallel module lenskit.parallel.chunking module lenskit.topn module lenskit.util module LK_NUM_BACKEND_THREADS LK_NUM_CHILD_THREADS LK_NUM_PROCS LK_NUM_THREADS load_movielens() (in module lenskit.data) logger (lenskit.algorithms.als.BiasedMF property) (lenskit.algorithms.als.ImplicitMF property) lookup_items() (lenskit.algorithms.mf_common.MFPredictor method) lookup_user() (lenskit.algorithms.mf_common.MFPredictor method) M M (in module lenskit.algorithms.mf_common) mae() (in module lenskit.metrics.predict) map() (lenskit.parallel.ModelOpInvoker method) mean_ (lenskit.algorithms.bias.Bias attribute) Memorized (class in lenskit.algorithms.basic) MFPredictor (class in lenskit.algorithms.mf_common) ModelOpInvoker (class in lenskit.parallel) module lenskit.algorithms, [1] lenskit.algorithms.als lenskit.algorithms.basic, [1], [2], [3], [4] lenskit.algorithms.bias lenskit.algorithms.knn lenskit.algorithms.mf_common lenskit.algorithms.ranking lenskit.algorithms.svd lenskit.batch lenskit.crossfold lenskit.data lenskit.data.tables lenskit.data.vocab lenskit.funksvd lenskit.hpf lenskit.implicit lenskit.math.solve lenskit.metrics.predict lenskit.metrics.topn lenskit.parallel lenskit.parallel.chunking lenskit.topn lenskit.util 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) name (lenskit.data.vocab.Vocabulary attribute) ndcg() (in module lenskit.metrics.topn) new_user_embedding() (lenskit.algorithms.als.BiasedMF method) (lenskit.algorithms.als.ImplicitMF method) number() (lenskit.data.vocab.Vocabulary method) numbers() (lenskit.data.vocab.Vocabulary method) NumpyUserItemTable (class in lenskit.data.tables) P partition_rows() (in module lenskit.crossfold) partition_users() (in module lenskit.crossfold) PartitionMethod (class in lenskit.crossfold) PlackettLuce (class in lenskit.algorithms.ranking) PopScore (class in lenskit.algorithms.basic) precision() (in module lenskit.metrics.topn) predict() (in module lenskit.batch) (lenskit.algorithms.Predictor method) (lenskit.algorithms.ranking.TopN method) predict_for_user() (lenskit.algorithms.basic.Fallback method) (lenskit.algorithms.basic.Memorized method) (lenskit.algorithms.basic.PopScore method) (lenskit.algorithms.bias.Bias method) (lenskit.algorithms.knn.ItemItem method) (lenskit.algorithms.knn.UserUser method) (lenskit.algorithms.Predictor method) (lenskit.algorithms.ranking.TopN method) (lenskit.algorithms.svd.BiasedSVD method) (lenskit.funksvd.FunkSVD method) Predictor (class in lenskit.algorithms) prepare_data() (lenskit.algorithms.als.BiasedMF method) (lenskit.algorithms.als.ImplicitMF method) R Random (class in lenskit.algorithms.basic) rated_items() (lenskit.algorithms.CandidateSelector static method) rating_count (lenskit.data.Dataset property) rating_matrix_ (lenskit.algorithms.knn.ItemItem attribute) ratings (lenskit.data.tables.NumpyUserItemTable attribute) (lenskit.data.tables.TorchUserItemTable 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.basic.Random method) (lenskit.algorithms.ranking.PlackettLuce method) (lenskit.algorithms.ranking.TopN method) (lenskit.algorithms.Recommender method) Recommender (class in lenskit.algorithms) rmse() (in module lenskit.metrics.predict) rng_spec (lenskit.algorithms.basic.Random attribute) 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.MFPredictor method) selector (lenskit.algorithms.basic.Random attribute) sim_matrix_ (lenskit.algorithms.knn.ItemItem attribute) size (lenskit.data.vocab.Vocabulary property) solve_cholesky() (in module lenskit.math.solve) Stopwatch (class in lenskit.util) T term() (lenskit.data.vocab.Vocabulary method) terms() (lenskit.data.vocab.Vocabulary method) test (lenskit.crossfold.TTPair attribute) timestamps (lenskit.data.tables.NumpyUserItemTable attribute) (lenskit.data.tables.TorchUserItemTable attribute) TopN (class in lenskit.algorithms.ranking) TorchUserItemTable (class in lenskit.data.tables) total (lenskit.parallel.chunking.WorkChunks attribute) train (lenskit.crossfold.TTPair attribute) transform() (lenskit.algorithms.bias.Bias method) transform_user() (lenskit.algorithms.bias.Bias method) 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_items_ (lenskit.algorithms.basic.UnratedItemCandidateSelector attribute) user_means_ (lenskit.algorithms.knn.UserUser attribute) user_metric() (in module lenskit.metrics.predict) user_nums (lenskit.data.tables.NumpyUserItemTable attribute) (lenskit.data.tables.TorchUserItemTable attribute) user_offsets_ (lenskit.algorithms.bias.Bias attribute) user_ratings_ (lenskit.algorithms.knn.UserUser attribute) user_stats() (lenskit.data.Dataset method) user_vectors_ (lenskit.algorithms.knn.UserUser attribute) users (lenskit.data.Dataset property) users_ (lenskit.algorithms.basic.UnratedItemCandidateSelector attribute) (lenskit.algorithms.knn.ItemItem attribute) (lenskit.algorithms.knn.UserUser attribute) (lenskit.algorithms.mf_common.MFPredictor attribute) UserUser (class in lenskit.algorithms.knn) V Vocabulary (class in lenskit.data.vocab) W WorkChunks (class in lenskit.parallel.chunking)