Index

A

apply_matrix_update() (mrec.mf.model.warp2.WARP2Decomposition method)

apply_updates() (mrec.mf.model.warp.WARPDecomposition method) (mrec.mf.model.warp2.WARP2Decomposition method)

B

BaseRecommender (class in mrec.base_recommender)

batch_recommend_items() (mrec.base_recommender.BaseRecommender method) (mrec.item_similarity.recommender.ItemSimilarityRecommender method) (mrec.reranking_recommender.RerankingRecommender method)

C

clear() (mrec.mf.model.warp.WARPBatchUpdate method) (mrec.mf.model.warp2.WARP2BatchUpdate method) compute_all_similarities() (mrec.item_similarity.knn.CosineKNNRecommender method) (mrec.item_similarity.knn.DotProductKNNRecommender method) (mrec.item_similarity.knn.KNNRecommender method) compute_factors() (in module mrec.parallel.wrmf) compute_gradient_step() (mrec.mf.model.warp.WARPDecomposition method) (mrec.mf.model.warp2.WARP2Decomposition method) compute_hit_rate() (in module mrec.evaluation.metrics) compute_main_metrics() (in module mrec.evaluation.metrics)

compute_similarities() (mrec.item_similarity.knn.KNNRecommender method) (mrec.item_similarity.precomputed.PrecomputedItemSimilarityRecommender method) (mrec.item_similarity.recommender.ItemSimilarityRecommender method) (mrec.item_similarity.slim.SLIM method) compute_similarities_from_vec() (mrec.item_similarity.slim.SLIM method) compute_updates() (mrec.mf.model.warp.WARP method) CosineKNNRecommender (class in mrec.item_similarity.knn) create_tasks() (in module mrec.examples.predict) (mrec.parallel.item_similarity.ItemSimilarityRunner method) (mrec.parallel.warp.WARPMFRunner method) (mrec.parallel.wrmf.WRMFRunner method) create_validation_set() (mrec.mf.warp.WARPMFRecommender method)

D

DotProductKNNRecommender (class in mrec.item_similarity.knn)

E

ensure_sparse_cols() (mrec.sparse.fast_sparse_matrix method) estimate_precision() (mrec.mf.model.warp.WARP method) estimate_users_per_task() (in module mrec.examples.predict)

estimate_warp_loss() (mrec.mf.model.warp.WARP method) evaluate() (in module mrec.evaluation.metrics)

F

fast_get_col() (mrec.sparse.fast_sparse_matrix method) fast_sparse_matrix (class in mrec.sparse) fast_update_col() (mrec.sparse.fast_sparse_matrix method)

find_done() (in module mrec.examples.predict) (mrec.parallel.item_similarity.ItemSimilarityRunner method) (mrec.parallel.warp.WARPMFRunner method) fit() (mrec.base_recommender.BaseRecommender method) (mrec.item_similarity.precomputed.PrecomputedItemSimilarityRecommender method) (mrec.item_similarity.recommender.ItemSimilarityRecommender method) (mrec.item_similarity.slim.NNFeatureSelectingSGDRegressor method) (mrec.mf.model.warp.WARP method) (mrec.mf.model.warp2.WARP2 method) (mrec.mf.warp.WARPMFRecommender method) (mrec.mf.warp2.WARP2MFRecommender method) (mrec.mf.wrmf.WRMFRecommender method) (mrec.popularity.ItemPopularityRecommender method) (mrec.reranking_recommender.RerankingRecommender method)

G

generate_metrics() (in module mrec.evaluation.metrics) get_dataset_size() (in module mrec.examples.predict) get_factor_files() (in module mrec.parallel.wrmf) get_factorsdir() (in module mrec.examples.filename_conventions) get_item_factor_files() (in module mrec.parallel.wrmf) get_item_indices() (in module mrec.parallel.wrmf) get_known_items_from_csr_matrix (class in mrec.evaluation.metrics) get_known_items_from_dict (class in mrec.evaluation.metrics) get_known_items_from_thresholded_csr_matrix (class in mrec.evaluation.metrics) get_modelfile() (in module mrec.examples.filename_conventions) (mrec.parallel.warp.WARPMFRunner method) get_modelsdir() (in module mrec.examples.filename_conventions)

get_recsdir() (in module mrec.examples.filename_conventions) get_recsfile() (in module mrec.examples.filename_conventions) get_similar_items() (mrec.item_similarity.recommender.ItemSimilarityRecommender method) get_simsdir() (in module mrec.examples.filename_conventions) get_simsfile() (in module mrec.examples.filename_conventions) get_sortedfile() (in module mrec.examples.filename_conventions) get_splitfile() (in module mrec.examples.filename_conventions) get_testfile() (in module mrec.examples.filename_conventions) get_user_factor_files() (in module mrec.parallel.wrmf) get_user_indices() (in module mrec.parallel.wrmf)

H

handle() (mrec.evaluation.preprocessing.SplitCreator method)

hit_rate() (in module mrec.evaluation.metrics)

I

init_factors() (mrec.mf.wrmf.WRMFRecommender method) init_item_factors() (in module mrec.parallel.wrmf) ItemPopularityRecommender (class in mrec.popularity)

ItemSimilarityRecommender (class in mrec.item_similarity.recommender) ItemSimilarityRunner (class in mrec.parallel.item_similarity)

K

KNNRecommender (class in mrec.item_similarity.knn)

L

load() (mrec.base_recommender.BaseRecommender static method) (mrec.sparse.fast_sparse_matrix static method) load_similarity_matrix() (mrec.item_similarity.recommender.ItemSimilarityRecommender method) loadmm() (mrec.sparse.fast_sparse_matrix static method)

loadtxt() (in module mrec.sparse) (mrec.sparse.fast_sparse_matrix static method) loadz() (in module mrec.sparse)

M

main() (in module mrec.examples.evaluate) (in module mrec.examples.predict) (in module mrec.examples.train) (in module mrec.mf.warp) (in module mrec.mf.warp2) (in module mrec.mf.wrmf) (in module mrec.reranking_recommender) mrec.base_recommender (module) mrec.evaluation.metrics (module) mrec.evaluation.preprocessing (module) mrec.examples.evaluate (module) mrec.examples.filename_conventions (module) mrec.examples.predict (module) mrec.examples.train (module) mrec.item_similarity.knn (module) mrec.item_similarity.precomputed (module) mrec.item_similarity.recommender (module) mrec.item_similarity.slim (module)

mrec.mf.model.warp (module) mrec.mf.model.warp2 (module) mrec.mf.warp (module) mrec.mf.warp2 (module) mrec.mf.wrmf (module) mrec.parallel.item_similarity (module) mrec.parallel.predict (module) mrec.parallel.warp (module) mrec.parallel.wrmf (module) mrec.popularity (module) mrec.reranking_recommender (module) mrec.sparse (module)

N

NNFeatureSelectingSGDRegressor (class in mrec.item_similarity.slim)

num_train() (mrec.evaluation.preprocessing.SplitCreator method)

P

parse() (mrec.evaluation.preprocessing.TSVParser method) parse_version() (in module mrec.item_similarity.slim) pos_neg_vals() (mrec.evaluation.preprocessing.SplitCreator method) prec() (in module mrec.evaluation.metrics) precompute_warp_loss() (mrec.mf.model.warp.WARP method)

PrecomputedItemSimilarityRecommender (class in mrec.item_similarity.precomputed) predict_ratings() (mrec.mf.warp2.WARP2MFRecommender method) print_report() (in module mrec.evaluation.metrics) process() (in module mrec.examples.predict) (in module mrec.parallel.item_similarity) (in module mrec.parallel.warp)

R

range_recommend_items() (mrec.base_recommender.BaseRecommender method) (mrec.item_similarity.recommender.ItemSimilarityRecommender method) (mrec.reranking_recommender.RerankingRecommender method) read_recommender_description() (mrec.base_recommender.BaseRecommender static method) recommend_items() (mrec.base_recommender.BaseRecommender method) (mrec.item_similarity.recommender.ItemSimilarityRecommender method) (mrec.popularity.ItemPopularityRecommender method) (mrec.reranking_recommender.RerankingRecommender method) reconstruct() (mrec.mf.model.warp.WARPDecomposition method) (mrec.mf.model.warp2.WARP2Decomposition method) rerank() (mrec.reranking_recommender.RerankingRecommender method) RerankingRecommender (class in mrec.reranking_recommender)

retrain_recommender() (in module mrec.evaluation.metrics) rr() (in module mrec.evaluation.metrics) run() (in module mrec.parallel.predict) (mrec.parallel.item_similarity.ItemSimilarityRunner method) (mrec.parallel.warp.WARPMFRunner method) (mrec.parallel.wrmf.WRMFRunner method) run_evaluation() (in module mrec.evaluation.metrics) run_tasks() (mrec.parallel.wrmf.WRMFRunner method)

S

sample() (mrec.mf.model.warp.WARP method) (mrec.mf.model.warp2.WARP2 method) save() (mrec.base_recommender.BaseRecommender method) (mrec.sparse.fast_sparse_matrix method) savez() (in module mrec.sparse) set_similarity_matrix() (mrec.item_similarity.precomputed.PrecomputedItemSimilarityRecommender method) set_update() (mrec.mf.model.warp.WARPBatchUpdate method) (mrec.mf.model.warp2.WARP2BatchUpdate method) shape (mrec.sparse.fast_sparse_matrix attribute)

SLIM (class in mrec.item_similarity.slim) sort_metrics_by_name() (in module mrec.evaluation.metrics) split() (mrec.evaluation.preprocessing.SplitCreator method) SplitCreator (class in mrec.evaluation.preprocessing) stratified_split() (mrec.evaluation.preprocessing.SplitCreator method)

T

TSVParser (class in mrec.evaluation.preprocessing)

U

update() (mrec.mf.wrmf.WRMFRecommender method)

W

WARP (class in mrec.mf.model.warp) WARP2 (class in mrec.mf.model.warp2) WARP2BatchUpdate (class in mrec.mf.model.warp2) WARP2Decomposition (class in mrec.mf.model.warp2) WARP2MFRecommender (class in mrec.mf.warp2) WARPBatchUpdate (class in mrec.mf.model.warp)

WARPDecomposition (class in mrec.mf.model.warp) WARPMFRecommender (class in mrec.mf.warp) WARPMFRunner (class in mrec.parallel.warp) WRMFRecommender (class in mrec.mf.wrmf) WRMFRunner (class in mrec.parallel.wrmf)