Index _ | A | B | C | D | E | F | G | H | I | J | L | M | N | O | P | Q | R | S | T | U | V | W | X _ __init__() (recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation method) (recommenders.evaluation.spark_evaluation.SparkRankingEvaluation method) (recommenders.evaluation.spark_evaluation.SparkRatingEvaluation method) (recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF method) (recommenders.models.deeprec.deeprec_utils.HParams method) (recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator method) (recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator method) (recommenders.models.deeprec.io.iterator.FFMTextIterator method) (recommenders.models.deeprec.io.nextitnet_iterator.NextItNetIterator method) (recommenders.models.deeprec.io.sequential_iterator.SequentialIterator method) (recommenders.models.deeprec.models.base_model.BaseModel method) (recommenders.models.deeprec.models.dkn.DKN method) (recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN method) (recommenders.models.deeprec.models.sequential.caser.CaserModel method) (recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel method) (recommenders.models.ncf.dataset.DataFile method) (recommenders.models.ncf.dataset.Dataset method) (recommenders.models.ncf.dataset.NegativeSampler method) (recommenders.models.ncf.ncf_singlenode.NCF method) (recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator method) (recommenders.models.newsrec.io.mind_iterator.MINDIterator method) (recommenders.models.newsrec.models.base_model.BaseModel method) (recommenders.models.newsrec.models.layers.AttLayer2 method) (recommenders.models.newsrec.models.layers.SelfAttention method) (recommenders.models.newsrec.models.lstur.LSTURModel method) (recommenders.models.newsrec.models.naml.NAMLModel method) (recommenders.models.newsrec.models.npa.NPAModel method) (recommenders.models.newsrec.models.nrms.NRMSModel method) (recommenders.models.rbm.rbm.RBM method) (recommenders.models.sar.sar_singlenode.SARSingleNode method) (recommenders.models.sasrec.model.Encoder method) (recommenders.models.sasrec.model.EncoderLayer method) (recommenders.models.sasrec.model.LayerNormalization method) (recommenders.models.sasrec.model.MultiHeadAttention method) (recommenders.models.sasrec.model.PointWiseFeedForward method) (recommenders.models.sasrec.model.SASREC method) (recommenders.models.sasrec.sampler.WarpSampler method) (recommenders.models.sasrec.ssept.SSEPT method) (recommenders.models.vae.multinomial_vae.AnnealingCallback method) (recommenders.models.vae.multinomial_vae.Metrics method) (recommenders.models.vae.multinomial_vae.Mult_VAE method) (recommenders.models.vae.standard_vae.AnnealingCallback method) (recommenders.models.vae.standard_vae.Metrics method) (recommenders.models.vae.standard_vae.StandardVAE method) (recommenders.utils.tf_utils.MetricsLogger method) (recommenders.utils.timer.Timer method) __repr__() (recommenders.models.deeprec.deeprec_utils.HParams method) A A2SVDModel (class in recommenders.models.deeprec.models.sequential.asvd) AffinityMatrix (class in recommenders.datasets.sparse) AnnealingCallback (class in recommenders.models.vae.multinomial_vae) (class in recommenders.models.vae.standard_vae) AttLayer2 (class in recommenders.models.newsrec.models.layers) auc() (in module recommenders.evaluation.python_evaluation) B BaseIterator (class in recommenders.models.deeprec.io.iterator) BaseModel (class in recommenders.models.deeprec.models.base_model) (class in recommenders.models.newsrec.models.base_model) batch_size (recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator attribute) (recommenders.models.newsrec.io.mind_iterator.MINDIterator attribute) (recommenders.models.sasrec.sampler.WarpSampler attribute) batch_training() (recommenders.models.rbm.rbm.RBM method) binarize() (in module recommenders.utils.python_utils) binomial_sampling() (recommenders.models.rbm.rbm.RBM method) body_size (recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator attribute) build() (recommenders.models.newsrec.models.layers.AttLayer2 method) (recommenders.models.newsrec.models.layers.OverwriteMasking method) (recommenders.models.newsrec.models.layers.SelfAttention method) build_feature_columns() (in module recommenders.models.wide_deep.wide_deep_utils) build_model() (in module recommenders.models.wide_deep.wide_deep_utils) build_optimizer() (in module recommenders.utils.tf_utils) C cal_metric() (in module recommenders.models.deeprec.deeprec_utils) call() (recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell method) (recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell method) (recommenders.models.newsrec.models.layers.AttLayer2 method) (recommenders.models.newsrec.models.layers.ComputeMasking method) (recommenders.models.newsrec.models.layers.OverwriteMasking method) (recommenders.models.newsrec.models.layers.SelfAttention method) (recommenders.models.sasrec.model.Encoder method) (recommenders.models.sasrec.model.EncoderLayer method) (recommenders.models.sasrec.model.LayerNormalization method) (recommenders.models.sasrec.model.MultiHeadAttention method) (recommenders.models.sasrec.model.PointWiseFeedForward method) (recommenders.models.sasrec.model.SASREC method) (recommenders.models.sasrec.ssept.SSEPT method) call_() (recommenders.models.sasrec.model.EncoderLayer method) cartesian_product() (in module recommenders.models.fastai.fastai_utils) CaserModel (class in recommenders.models.deeprec.models.sequential.caser) catalog_coverage() (in module recommenders.evaluation.python_evaluation) (recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation method) check_nn_config() (in module recommenders.models.deeprec.deeprec_utils) (in module recommenders.models.newsrec.newsrec_utils) check_type() (in module recommenders.models.deeprec.deeprec_utils) (in module recommenders.models.newsrec.newsrec_utils) clean_dataframe() (in module recommenders.datasets.covid_utils) (recommenders.models.tfidf.tfidf_utils.TfidfRecommender method) clear_memory_all_gpus() (in module recommenders.utils.gpu_utils) col_sep (recommenders.models.sasrec.util.SASRecDataSet attribute) col_spliter (recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator attribute) (recommenders.models.newsrec.io.mind_iterator.MINDIterator attribute) ColumnMismatchError ColumnTypeMismatchError compare_metric() (in module recommenders.models.lightfm.lightfm_utils) compute_affinity_matrix() (recommenders.models.sar.sar_singlenode.SARSingleNode method) compute_cooccurrence_matrix() (recommenders.models.sar.sar_singlenode.SARSingleNode method) compute_mask() (recommenders.models.newsrec.models.layers.AttLayer2 method) compute_output_shape() (recommenders.models.newsrec.models.layers.AttLayer2 method) (recommenders.models.newsrec.models.layers.ComputeMasking method) (recommenders.models.newsrec.models.layers.OverwriteMasking method) (recommenders.models.newsrec.models.layers.SelfAttention method) compute_ranking_predictions() (in module recommenders.models.surprise.surprise_utils) compute_time_decay() (recommenders.models.sar.sar_singlenode.SARSingleNode method) ComputeMasking (class in recommenders.models.newsrec.models.layers) cosine_similarity() (in module recommenders.utils.python_utils) create_combined_dataset() (recommenders.models.sasrec.model.SASREC method) create_hparams() (in module recommenders.models.deeprec.deeprec_utils) (in module recommenders.models.newsrec.newsrec_utils) create_norm_adj_mat() (recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF method) D data_pipeline() (recommenders.models.rbm.rbm.RBM method) data_preprocessing() (in module recommenders.datasets.amazon_reviews) DataFile (class in recommenders.models.ncf.dataset) Dataset (class in recommenders.models.ncf.dataset) dcg_score() (in module recommenders.models.deeprec.deeprec_utils) dim (recommenders.models.newsrec.models.layers.AttLayer2 attribute) dim1 (in module recommenders.models.newsrec.models.layers) dim2 (in module recommenders.models.newsrec.models.layers) dim3 (in module recommenders.models.newsrec.models.layers) display_metrics() (recommenders.models.vae.multinomial_vae.Mult_VAE method) (recommenders.models.vae.standard_vae.StandardVAE method) distributional_coverage() (in module recommenders.evaluation.python_evaluation) (recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation method) diversity() (in module recommenders.evaluation.python_evaluation) (recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation method) DKN (class in recommenders.models.deeprec.models.dkn) DKNItem2Item (class in recommenders.models.deeprec.models.dkn_item2item) DKNItem2itemTextIterator (class in recommenders.models.deeprec.io.dkn_item2item_iterator) DKNTextIterator (class in recommenders.models.deeprec.io.dkn_iterator) download_and_extract() (in module recommenders.datasets.amazon_reviews) download_and_extract_glove() (in module recommenders.datasets.mind) download_criteo() (in module recommenders.datasets.criteo) download_deeprec_resources() (in module recommenders.models.deeprec.deeprec_utils) download_mind() (in module recommenders.datasets.mind) download_movielens() (in module recommenders.datasets.movielens) download_path() (in module recommenders.datasets.download_utils) E embedding() (recommenders.models.sasrec.model.SASREC method) EmptyFileException Encoder (class in recommenders.models.sasrec.model) EncoderLayer (class in recommenders.models.sasrec.model) eval() (recommenders.models.deeprec.models.base_model.BaseModel method) (recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item method) (recommenders.models.newsrec.models.base_model.BaseModel method) eval_out() (recommenders.models.rbm.rbm.RBM method) evaluate() (recommenders.models.sasrec.model.SASREC method) evaluate_valid() (recommenders.models.sasrec.model.SASREC method) evaluation_log_hook() (in module recommenders.utils.tf_utils) execute_notebook() (in module recommenders.utils.notebook_utils) exp_var() (in module recommenders.evaluation.python_evaluation) (recommenders.evaluation.spark_evaluation.SparkRatingEvaluation method) exponential_decay() (in module recommenders.utils.python_utils) export_model() (in module recommenders.utils.tf_utils) extract_criteo() (in module recommenders.datasets.criteo) extract_mind() (in module recommenders.datasets.mind) extract_movielens() (in module recommenders.datasets.movielens) F feature_count (recommenders.datasets.pandas_df_utils.LibffmConverter attribute) FFMTextIterator (class in recommenders.models.deeprec.io.iterator) field_count (recommenders.datasets.pandas_df_utils.LibffmConverter attribute) filename (recommenders.models.sasrec.util.SASRecDataSet attribute) FileNotSortedException filepath (recommenders.datasets.pandas_df_utils.LibffmConverter attribute) filter_by() (in module recommenders.datasets.pandas_df_utils) filter_k_core() (in module recommenders.datasets.split_utils) find_wikidata_id() (in module recommenders.datasets.wikidata) fit() (recommenders.datasets.pandas_df_utils.LibffmConverter method) (recommenders.models.deeprec.models.base_model.BaseModel method) (recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN method) (recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel method) (recommenders.models.ncf.ncf_singlenode.NCF method) (recommenders.models.newsrec.models.base_model.BaseModel method) (recommenders.models.rbm.rbm.RBM method) (recommenders.models.sar.sar_singlenode.SARSingleNode method) (recommenders.models.tfidf.tfidf_utils.TfidfRecommender method) (recommenders.models.vae.multinomial_vae.Mult_VAE method) (recommenders.models.vae.standard_vae.StandardVAE method) (recommenders.models.vowpal_wabbit.vw.VW method) fit_transform() (recommenders.datasets.pandas_df_utils.LibffmConverter method) (recommenders.models.lightgbm.lightgbm_utils.NumEncoder method) flat_config() (in module recommenders.models.deeprec.deeprec_utils) free_energy() (recommenders.models.rbm.rbm.RBM method) G gen_affinity_matrix() (recommenders.datasets.sparse.AffinityMatrix method) gen_feed_dict() (recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator method) (recommenders.models.deeprec.io.iterator.BaseIterator method) (recommenders.models.deeprec.io.iterator.FFMTextIterator method) (recommenders.models.deeprec.io.sequential_iterator.SequentialIterator method) gen_infer_feed_dict() (recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator method) generate_embeddings() (in module recommenders.datasets.mind) generate_graph() (recommenders.models.rbm.rbm.RBM method) generate_param_grid() (in module recommenders.tuning.parameter_sweep) get_config() (recommenders.models.newsrec.models.layers.SelfAttention method) get_cuda_version() (in module recommenders.utils.gpu_utils) get_cudnn_version() (in module recommenders.utils.gpu_utils) get_data() (recommenders.models.vae.multinomial_vae.AnnealingCallback method) (recommenders.models.vae.multinomial_vae.Metrics method) (recommenders.models.vae.standard_vae.AnnealingCallback method) (recommenders.models.vae.standard_vae.Metrics method) get_df() (recommenders.datasets.movielens.MockMovielensSchema class method) get_gpu_info() (in module recommenders.utils.gpu_utils) get_item_based_topk() (recommenders.models.sar.sar_singlenode.SARSingleNode method) get_log() (recommenders.utils.tf_utils.MetricsLogger method) get_mind_data_set() (in module recommenders.models.newsrec.newsrec_utils) get_norm_adj_mat() (recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF method) get_number_gpus() (in module recommenders.utils.gpu_utils) get_number_processors() (in module recommenders.utils.general_utils) get_optimal_beta() (recommenders.models.vae.multinomial_vae.Mult_VAE method) (recommenders.models.vae.standard_vae.StandardVAE method) get_params() (recommenders.datasets.pandas_df_utils.LibffmConverter method) get_physical_memory() (in module recommenders.utils.general_utils) get_popularity_based_topk() (recommenders.models.sar.sar_singlenode.SARSingleNode method) get_public_domain_text() (in module recommenders.datasets.covid_utils) get_review_data() (in module recommenders.datasets.amazon_reviews) get_session() (in module recommenders.datasets.wikidata) get_spark_df() (recommenders.datasets.movielens.MockMovielensSchema class method) get_spark_schema() (in module recommenders.datasets.criteo) get_stop_words() (recommenders.models.tfidf.tfidf_utils.TfidfRecommender method) get_tokens() (recommenders.models.tfidf.tfidf_utils.TfidfRecommender method) get_top_k_items() (in module recommenders.evaluation.python_evaluation) get_top_k_recommendations() (recommenders.models.tfidf.tfidf_utils.TfidfRecommender method) get_top_k_scored_items() (in module recommenders.utils.python_utils) get_topk_most_similar_users() (recommenders.models.sar.sar_singlenode.SARSingleNode method) get_train_input() (in module recommenders.datasets.mind) get_user_history() (in module recommenders.datasets.mind) get_valid_input() (in module recommenders.datasets.mind) get_words_and_entities() (in module recommenders.datasets.mind) gibbs_protocol() (recommenders.models.rbm.rbm.RBM method) gibbs_sampling() (recommenders.models.rbm.rbm.RBM method) graph (recommenders.models.newsrec.models.base_model.BaseModel attribute) group_labels() (recommenders.models.deeprec.models.base_model.BaseModel method) (recommenders.models.newsrec.models.base_model.BaseModel method) H has_columns() (in module recommenders.datasets.pandas_df_utils) has_same_base_dtype() (in module recommenders.datasets.pandas_df_utils) hide_fastai_progress_bar() (in module recommenders.models.fastai.fastai_utils) his_size (recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator attribute) (recommenders.models.newsrec.io.mind_iterator.MINDIterator attribute) historical_item_novelty() (in module recommenders.evaluation.python_evaluation) (recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation method) hit_score() (in module recommenders.models.deeprec.deeprec_utils) hparam (recommenders.models.newsrec.models.lstur.LSTURModel attribute) (recommenders.models.newsrec.models.naml.NAMLModel attribute) (recommenders.models.newsrec.models.npa.NPAModel attribute) (recommenders.models.newsrec.models.nrms.NRMSModel attribute) HParams (class in recommenders.models.deeprec.deeprec_utils) hparams (recommenders.models.newsrec.models.base_model.BaseModel attribute) I ID_spliter (recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator attribute) (recommenders.models.newsrec.io.mind_iterator.MINDIterator attribute) ImplicitCF (class in recommenders.models.deeprec.DataModel.ImplicitCF) inclusion_index() (in module recommenders.utils.python_utils) infer() (recommenders.models.deeprec.models.base_model.BaseModel method) infer_embedding() (recommenders.models.deeprec.models.dkn.DKN method) (recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN method) init_behaviors() (recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator method) (recommenders.models.newsrec.io.mind_iterator.MINDIterator method) init_gpu() (recommenders.models.rbm.rbm.RBM method) init_metrics() (recommenders.models.rbm.rbm.RBM method) init_news() (recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator method) (recommenders.models.newsrec.io.mind_iterator.MINDIterator method) init_parameters() (recommenders.models.rbm.rbm.RBM method) init_training_session() (recommenders.models.rbm.rbm.RBM method) interval (recommenders.utils.timer.Timer property) invert_dictionary() (in module recommenders.utils.general_utils) is_databricks() (in module recommenders.utils.notebook_utils) is_jupyter() (in module recommenders.utils.notebook_utils) itemnum (recommenders.models.sasrec.sampler.WarpSampler attribute) (recommenders.models.sasrec.util.SASRecDataSet attribute) Items (recommenders.models.sasrec.util.SASRecDataSet attribute) J jaccard() (in module recommenders.utils.python_utils) L LayerNormalization (class in recommenders.models.sasrec.model) lexicographers_mutual_information() (in module recommenders.utils.python_utils) LibffmConverter (class in recommenders.datasets.pandas_df_utils) lift() (in module recommenders.utils.python_utils) LightGCN (class in recommenders.models.deeprec.models.graphrec.lightgcn) line_graph() (in module recommenders.utils.plot) load() (recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN method) (recommenders.models.ncf.ncf_singlenode.NCF method) (recommenders.models.rbm.rbm.RBM method) load_data() (recommenders.models.ncf.dataset.DataFile method) load_data_from_file() (recommenders.models.deeprec.io.dkn_item2item_iterator.DKNItem2itemTextIterator method) (recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator method) (recommenders.models.deeprec.io.iterator.BaseIterator method) (recommenders.models.deeprec.io.iterator.FFMTextIterator method) (recommenders.models.deeprec.io.sequential_iterator.SequentialIterator method) (recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator method) (recommenders.models.newsrec.io.mind_iterator.MINDIterator method) load_dict() (in module recommenders.models.deeprec.deeprec_utils) (recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator method) (recommenders.models.newsrec.io.mind_iterator.MINDIterator method) load_glove_matrix() (in module recommenders.datasets.mind) load_impression_from_file() (recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator method) (recommenders.models.newsrec.io.mind_iterator.MINDIterator method) load_infer_data_from_file() (recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator method) load_item_df() (in module recommenders.datasets.movielens) load_model() (recommenders.models.deeprec.models.base_model.BaseModel method) load_news_from_file() (recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator method) (recommenders.models.newsrec.io.mind_iterator.MINDIterator method) load_pandas_df() (in module recommenders.datasets.covid_utils) (in module recommenders.datasets.criteo) (in module recommenders.datasets.movielens) load_spark_df() (in module recommenders.datasets.criteo) (in module recommenders.datasets.movielens) load_user_from_file() (recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator method) (recommenders.models.newsrec.io.mind_iterator.MINDIterator method) load_yaml() (in module recommenders.models.deeprec.deeprec_utils) log() (recommenders.utils.tf_utils.MetricsLogger method) logloss() (in module recommenders.evaluation.python_evaluation) loss_function() (recommenders.models.sasrec.model.SASREC method) (recommenders.models.sasrec.ssept.SSEPT method) losses() (recommenders.models.rbm.rbm.RBM method) LossHistory (class in recommenders.models.vae.multinomial_vae) (class in recommenders.models.vae.standard_vae) lru_cache_df() (in module recommenders.datasets.pandas_df_utils) LSTURModel (class in recommenders.models.newsrec.models.lstur) M mae() (in module recommenders.evaluation.python_evaluation) (recommenders.evaluation.spark_evaluation.SparkRatingEvaluation method) map() (in module recommenders.evaluation.python_evaluation) (recommenders.evaluation.spark_evaluation.SparkRankingEvaluation method) map_at_k() (in module recommenders.evaluation.python_evaluation) (recommenders.evaluation.spark_evaluation.SparkRankingEvaluation method) map_back_sparse() (recommenders.datasets.sparse.AffinityMatrix method) Mask() (recommenders.models.newsrec.models.layers.SelfAttention method) maxlen (recommenders.models.sasrec.sampler.WarpSampler attribute) maybe_download() (in module recommenders.datasets.download_utils) merge_ranking_true_pred() (in module recommenders.evaluation.python_evaluation) merge_rating_true_pred() (in module recommenders.evaluation.python_evaluation) message (recommenders.evaluation.python_evaluation.ColumnMismatchError attribute) (recommenders.evaluation.python_evaluation.ColumnTypeMismatchError attribute) Metrics (class in recommenders.models.vae.multinomial_vae) (class in recommenders.models.vae.standard_vae) MetricsLogger (class in recommenders.utils.tf_utils) min_rating_filter_pandas() (in module recommenders.datasets.split_utils) min_rating_filter_spark() (in module recommenders.datasets.split_utils) MINDAllIterator (class in recommenders.models.newsrec.io.mind_all_iterator) MINDIterator (class in recommenders.models.newsrec.io.mind_iterator) MissingFieldsException MissingUserException MockMovielensSchema (class in recommenders.datasets.movielens) MockMovielensSchema.Config (class in recommenders.datasets.movielens) model_perf_plots() (in module recommenders.models.lightfm.lightfm_utils) module recommenders.datasets.amazon_reviews recommenders.datasets.covid_utils recommenders.datasets.criteo recommenders.datasets.download_utils recommenders.datasets.mind recommenders.datasets.movielens recommenders.datasets.pandas_df_utils recommenders.datasets.python_splitters recommenders.datasets.spark_splitters recommenders.datasets.sparse recommenders.datasets.split_utils recommenders.datasets.wikidata recommenders.evaluation.python_evaluation recommenders.evaluation.spark_evaluation recommenders.models.cornac.cornac_utils recommenders.models.deeprec.DataModel.ImplicitCF recommenders.models.deeprec.deeprec_utils recommenders.models.deeprec.io.dkn_item2item_iterator recommenders.models.deeprec.io.dkn_iterator recommenders.models.deeprec.io.iterator recommenders.models.deeprec.io.nextitnet_iterator recommenders.models.deeprec.io.sequential_iterator recommenders.models.deeprec.models.base_model recommenders.models.deeprec.models.dkn recommenders.models.deeprec.models.dkn_item2item recommenders.models.deeprec.models.graphrec.lightgcn recommenders.models.deeprec.models.sequential.asvd recommenders.models.deeprec.models.sequential.caser recommenders.models.deeprec.models.sequential.nextitnet recommenders.models.deeprec.models.sequential.rnn_cell_implement recommenders.models.deeprec.models.sequential.sequential_base_model recommenders.models.deeprec.models.sequential.sli_rec recommenders.models.deeprec.models.xDeepFM recommenders.models.fastai.fastai_utils recommenders.models.lightfm.lightfm_utils recommenders.models.lightgbm.lightgbm_utils recommenders.models.ncf.dataset recommenders.models.ncf.ncf_singlenode recommenders.models.newsrec.io.mind_all_iterator recommenders.models.newsrec.io.mind_iterator recommenders.models.newsrec.models.base_model recommenders.models.newsrec.models.layers recommenders.models.newsrec.models.lstur recommenders.models.newsrec.models.naml recommenders.models.newsrec.models.npa recommenders.models.newsrec.models.nrms recommenders.models.newsrec.newsrec_utils recommenders.models.rbm.rbm recommenders.models.sar.sar_singlenode recommenders.models.sasrec.model recommenders.models.sasrec.sampler recommenders.models.sasrec.ssept recommenders.models.sasrec.util recommenders.models.surprise.surprise_utils recommenders.models.tfidf.tfidf_utils recommenders.models.vae.multinomial_vae recommenders.models.vae.standard_vae recommenders.models.vowpal_wabbit.vw recommenders.models.wide_deep.wide_deep_utils recommenders.tuning.parameter_sweep recommenders.utils.general_utils recommenders.utils.gpu_utils recommenders.utils.k8s_utils recommenders.utils.notebook_memory_management recommenders.utils.notebook_utils recommenders.utils.plot recommenders.utils.python_utils recommenders.utils.spark_utils recommenders.utils.tf_utils recommenders.utils.timer mrr_score() (in module recommenders.models.deeprec.deeprec_utils) Mult_VAE (class in recommenders.models.vae.multinomial_vae) MultiHeadAttention (class in recommenders.models.sasrec.model) multinomial_distribution() (recommenders.models.rbm.rbm.RBM method) multinomial_sampling() (recommenders.models.rbm.rbm.RBM method) mutual_information() (in module recommenders.utils.python_utils) N n_workers (recommenders.models.sasrec.sampler.WarpSampler attribute) name (recommenders.datasets.movielens.MockMovielensSchema.Config attribute) NAMLModel (class in recommenders.models.newsrec.models.naml) NCF (class in recommenders.models.ncf.ncf_singlenode) ndcg_at_k() (in module recommenders.evaluation.python_evaluation) (recommenders.evaluation.spark_evaluation.SparkRankingEvaluation method) ndcg_per_epoch() (recommenders.models.vae.multinomial_vae.Mult_VAE method) (recommenders.models.vae.standard_vae.StandardVAE method) ndcg_score() (in module recommenders.models.deeprec.deeprec_utils) negative_feedback_sampler() (in module recommenders.datasets.pandas_df_utils) NegativeSampler (class in recommenders.models.ncf.dataset) newsample() (in module recommenders.models.newsrec.newsrec_utils) NextItNetIterator (class in recommenders.models.deeprec.io.nextitnet_iterator) NextItNetModel (class in recommenders.models.deeprec.models.sequential.nextitnet) nn_batch_generator() (recommenders.models.vae.multinomial_vae.Mult_VAE method) (recommenders.models.vae.standard_vae.StandardVAE method) nodes_to_replicas() (in module recommenders.utils.k8s_utils) novelty() (in module recommenders.evaluation.python_evaluation) (recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation method) NPAModel (class in recommenders.models.newsrec.models.npa) npratio (recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator attribute) (recommenders.models.newsrec.io.mind_iterator.MINDIterator attribute) NRMSModel (class in recommenders.models.newsrec.models.nrms) NumEncoder (class in recommenders.models.lightgbm.lightgbm_utils) numpy_stratified_split() (in module recommenders.datasets.python_splitters) O on_batch_end() (recommenders.models.vae.multinomial_vae.AnnealingCallback method) (recommenders.models.vae.standard_vae.AnnealingCallback method) on_epoch_end() (recommenders.models.vae.multinomial_vae.AnnealingCallback method) (recommenders.models.vae.multinomial_vae.LossHistory method) (recommenders.models.vae.multinomial_vae.Metrics method) (recommenders.models.vae.standard_vae.AnnealingCallback method) (recommenders.models.vae.standard_vae.LossHistory method) (recommenders.models.vae.standard_vae.Metrics method) on_train_begin() (recommenders.models.vae.multinomial_vae.AnnealingCallback method) (recommenders.models.vae.multinomial_vae.LossHistory method) (recommenders.models.vae.multinomial_vae.Metrics method) (recommenders.models.vae.standard_vae.AnnealingCallback method) (recommenders.models.vae.standard_vae.LossHistory method) (recommenders.models.vae.standard_vae.Metrics method) output_size (recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell property) (recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell property) OverwriteMasking (class in recommenders.models.newsrec.models.layers) P pandas_input_fn() (in module recommenders.utils.tf_utils) pandas_input_fn_for_saved_model() (in module recommenders.utils.tf_utils) PandasHash (class in recommenders.datasets.pandas_df_utils) parse_file() (recommenders.models.deeprec.io.sequential_iterator.SequentialIterator method) parse_test_params() (recommenders.models.vowpal_wabbit.vw.VW method) parse_train_params() (recommenders.models.vowpal_wabbit.vw.VW method) parser_one_line() (recommenders.models.deeprec.io.dkn_iterator.DKNTextIterator method) (recommenders.models.deeprec.io.iterator.BaseIterator method) (recommenders.models.deeprec.io.iterator.FFMTextIterator method) (recommenders.models.deeprec.io.sequential_iterator.SequentialIterator method) (recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator method) (recommenders.models.newsrec.io.mind_iterator.MINDIterator method) PersonalizedAttentivePooling() (in module recommenders.models.newsrec.models.layers) placeholder() (recommenders.models.rbm.rbm.RBM method) PointWiseFeedForward (class in recommenders.models.sasrec.model) pre_run_cell() (in module recommenders.utils.notebook_memory_management) precision_at_k() (in module recommenders.evaluation.python_evaluation) (recommenders.evaluation.spark_evaluation.SparkRankingEvaluation method) predict() (in module recommenders.models.cornac.cornac_utils) (in module recommenders.models.surprise.surprise_utils) (recommenders.models.deeprec.models.base_model.BaseModel method) (recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel method) (recommenders.models.ncf.ncf_singlenode.NCF method) (recommenders.models.rbm.rbm.RBM method) (recommenders.models.sar.sar_singlenode.SARSingleNode method) (recommenders.models.sasrec.model.SASREC method) (recommenders.models.sasrec.ssept.SSEPT method) (recommenders.models.vowpal_wabbit.vw.VW method) predict_ranking() (in module recommenders.models.cornac.cornac_utils) prepare_all_predictions() (in module recommenders.models.lightfm.lightfm_utils) prepare_hparams() (in module recommenders.models.deeprec.deeprec_utils) (in module recommenders.models.newsrec.newsrec_utils) prepare_test_df() (in module recommenders.models.lightfm.lightfm_utils) process_split_ratio() (in module recommenders.datasets.split_utils) python_chrono_split() (in module recommenders.datasets.python_splitters) python_random_split() (in module recommenders.datasets.python_splitters) python_stratified_split() (in module recommenders.datasets.python_splitters) Q qps_to_replicas() (in module recommenders.utils.k8s_utils) query_entity_description() (in module recommenders.datasets.wikidata) query_entity_links() (in module recommenders.datasets.wikidata) R r_precision_at_k() (in module recommenders.evaluation.python_evaluation) RBM (class in recommenders.models.rbm.rbm) read_clickhistory() (in module recommenders.datasets.mind) read_linked_entities() (in module recommenders.datasets.wikidata) read_notebook() (in module recommenders.utils.notebook_utils) recall_at_k() (in module recommenders.evaluation.python_evaluation) (recommenders.evaluation.spark_evaluation.SparkRankingEvaluation method) recommend_k_items() (recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN method) (recommenders.models.rbm.rbm.RBM method) (recommenders.models.sar.sar_singlenode.SARSingleNode method) (recommenders.models.vae.multinomial_vae.Metrics method) (recommenders.models.vae.multinomial_vae.Mult_VAE method) (recommenders.models.vae.standard_vae.Metrics method) (recommenders.models.vae.standard_vae.StandardVAE method) recommend_top_k_items() (recommenders.models.tfidf.tfidf_utils.TfidfRecommender method) recommenders.datasets.amazon_reviews module recommenders.datasets.covid_utils module recommenders.datasets.criteo module recommenders.datasets.download_utils module recommenders.datasets.mind module recommenders.datasets.movielens module recommenders.datasets.pandas_df_utils module recommenders.datasets.python_splitters module recommenders.datasets.spark_splitters module recommenders.datasets.sparse module recommenders.datasets.split_utils module recommenders.datasets.wikidata module recommenders.evaluation.python_evaluation module recommenders.evaluation.spark_evaluation module recommenders.models.cornac.cornac_utils module recommenders.models.deeprec.DataModel.ImplicitCF module recommenders.models.deeprec.deeprec_utils module recommenders.models.deeprec.io.dkn_item2item_iterator module recommenders.models.deeprec.io.dkn_iterator module recommenders.models.deeprec.io.iterator module recommenders.models.deeprec.io.nextitnet_iterator module recommenders.models.deeprec.io.sequential_iterator module recommenders.models.deeprec.models.base_model module recommenders.models.deeprec.models.dkn module recommenders.models.deeprec.models.dkn_item2item module recommenders.models.deeprec.models.graphrec.lightgcn module recommenders.models.deeprec.models.sequential.asvd module recommenders.models.deeprec.models.sequential.caser module recommenders.models.deeprec.models.sequential.nextitnet module recommenders.models.deeprec.models.sequential.rnn_cell_implement module recommenders.models.deeprec.models.sequential.sequential_base_model module recommenders.models.deeprec.models.sequential.sli_rec module recommenders.models.deeprec.models.xDeepFM module recommenders.models.fastai.fastai_utils module recommenders.models.lightfm.lightfm_utils module recommenders.models.lightgbm.lightgbm_utils module recommenders.models.ncf.dataset module recommenders.models.ncf.ncf_singlenode module recommenders.models.newsrec.io.mind_all_iterator module recommenders.models.newsrec.io.mind_iterator module recommenders.models.newsrec.models.base_model module recommenders.models.newsrec.models.layers module recommenders.models.newsrec.models.lstur module recommenders.models.newsrec.models.naml module recommenders.models.newsrec.models.npa module recommenders.models.newsrec.models.nrms module recommenders.models.newsrec.newsrec_utils module recommenders.models.rbm.rbm module recommenders.models.sar.sar_singlenode module recommenders.models.sasrec.model module recommenders.models.sasrec.sampler module recommenders.models.sasrec.ssept module recommenders.models.sasrec.util module recommenders.models.surprise.surprise_utils module recommenders.models.tfidf.tfidf_utils module recommenders.models.vae.multinomial_vae module recommenders.models.vae.standard_vae module recommenders.models.vowpal_wabbit.vw module recommenders.models.wide_deep.wide_deep_utils module recommenders.tuning.parameter_sweep module recommenders.utils.general_utils module recommenders.utils.gpu_utils module recommenders.utils.k8s_utils module recommenders.utils.notebook_memory_management module recommenders.utils.notebook_utils module recommenders.utils.plot module recommenders.utils.python_utils module recommenders.utils.spark_utils module recommenders.utils.tf_utils module recommenders.utils.timer module remove_duplicates() (in module recommenders.datasets.covid_utils) remove_nan() (in module recommenders.datasets.covid_utils) replicas_to_qps() (in module recommenders.utils.k8s_utils) rescale() (in module recommenders.utils.python_utils) retrieve_text() (in module recommenders.datasets.covid_utils) rmse() (in module recommenders.evaluation.python_evaluation) (recommenders.evaluation.spark_evaluation.SparkRatingEvaluation method) rsquared() (in module recommenders.evaluation.python_evaluation) (recommenders.evaluation.spark_evaluation.SparkRatingEvaluation method) run_eval() (recommenders.models.deeprec.models.base_model.BaseModel method) (recommenders.models.deeprec.models.dkn_item2item.DKNItem2Item method) (recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN method) (recommenders.models.deeprec.models.sequential.sequential_base_model.SequentialBaseModel method) (recommenders.models.newsrec.models.base_model.BaseModel method) run_get_embedding() (recommenders.models.deeprec.models.dkn.DKN method) S sample() (recommenders.models.ncf.dataset.NegativeSampler method) sample_function() (in module recommenders.models.sasrec.sampler) sample_hidden_units() (recommenders.models.rbm.rbm.RBM method) sample_visible_units() (recommenders.models.rbm.rbm.RBM method) SARSingleNode (class in recommenders.models.sar.sar_singlenode) SASREC (class in recommenders.models.sasrec.model) SASRecDataSet (class in recommenders.models.sasrec.util) save() (recommenders.models.ncf.ncf_singlenode.NCF method) (recommenders.models.rbm.rbm.RBM method) score() (in module recommenders.models.fastai.fastai_utils) (recommenders.models.deeprec.models.graphrec.lightgcn.LightGCN method) (recommenders.models.sar.sar_singlenode.SARSingleNode method) search_wikidata() (in module recommenders.datasets.wikidata) seed (recommenders.models.newsrec.models.base_model.BaseModel attribute) SelfAttention (class in recommenders.models.newsrec.models.layers) SequentialBaseModel (class in recommenders.models.deeprec.models.sequential.sequential_base_model) SequentialIterator (class in recommenders.models.deeprec.io.sequential_iterator) serendipity() (in module recommenders.evaluation.python_evaluation) (recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation method) set_index() (recommenders.models.sar.sar_singlenode.SARSingleNode method) similar_items() (in module recommenders.models.lightfm.lightfm_utils) similar_users() (in module recommenders.models.lightfm.lightfm_utils) SLI_RECModel (class in recommenders.models.deeprec.models.sequential.sli_rec) spark_chrono_split() (in module recommenders.datasets.spark_splitters) spark_random_split() (in module recommenders.datasets.spark_splitters) spark_stratified_split() (in module recommenders.datasets.spark_splitters) spark_timestamp_split() (in module recommenders.datasets.spark_splitters) SparkDiversityEvaluation (class in recommenders.evaluation.spark_evaluation) SparkRankingEvaluation (class in recommenders.evaluation.spark_evaluation) SparkRatingEvaluation (class in recommenders.evaluation.spark_evaluation) split_pandas_data_with_ratios() (in module recommenders.datasets.split_utils) SSEPT (class in recommenders.models.sasrec.ssept) StandardVAE (class in recommenders.models.vae.standard_vae) start() (recommenders.utils.timer.Timer method) start_or_get_spark() (in module recommenders.utils.spark_utils) start_watching_memory() (in module recommenders.utils.notebook_memory_management) state_size (recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4ALSTMCell property) (recommenders.models.deeprec.models.sequential.rnn_cell_implement.Time4LSTMCell property) stop() (recommenders.utils.timer.Timer method) stop_watching_memory() (in module recommenders.utils.notebook_memory_management) store_metadata() (in module recommenders.utils.notebook_utils) surprise_trainset_to_df() (in module recommenders.models.surprise.surprise_utils) T test_iterator (recommenders.models.newsrec.models.base_model.BaseModel attribute) test_loader() (recommenders.models.ncf.dataset.Dataset method) TfidfRecommender (class in recommenders.models.tfidf.tfidf_utils) Time4ALSTMCell (class in recommenders.models.deeprec.models.sequential.rnn_cell_implement) Time4LSTMCell (class in recommenders.models.deeprec.models.sequential.rnn_cell_implement) Timer (class in recommenders.utils.timer) title_size (recommenders.models.newsrec.io.mind_all_iterator.MINDAllIterator attribute) (recommenders.models.newsrec.io.mind_iterator.MINDIterator attribute) to_vw_cmd() (recommenders.models.vowpal_wabbit.vw.VW static method) to_vw_file() (recommenders.models.vowpal_wabbit.vw.VW method) tokenize_text() (recommenders.models.tfidf.tfidf_utils.TfidfRecommender method) track_model_metrics() (in module recommenders.models.lightfm.lightfm_utils) train() (recommenders.models.deeprec.models.base_model.BaseModel method) (recommenders.models.newsrec.models.base_model.BaseModel method) (recommenders.models.sasrec.model.SASREC method) train_iterator (recommenders.models.newsrec.models.base_model.BaseModel attribute) train_loader() (recommenders.models.deeprec.DataModel.ImplicitCF.ImplicitCF method) (recommenders.models.ncf.dataset.Dataset method) transform() (recommenders.datasets.pandas_df_utils.LibffmConverter method) (recommenders.models.lightgbm.lightgbm_utils.NumEncoder method) U unpackbits() (in module recommenders.models.lightgbm.lightgbm_utils) unzip_file() (in module recommenders.datasets.download_utils) User (recommenders.models.sasrec.sampler.WarpSampler attribute) (recommenders.models.sasrec.util.SASRecDataSet attribute) user_diversity() (in module recommenders.evaluation.python_evaluation) (recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation method) user_item_pairs() (in module recommenders.datasets.pandas_df_utils) user_item_serendipity() (in module recommenders.evaluation.python_evaluation) (recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation method) user_serendipity() (in module recommenders.evaluation.python_evaluation) (recommenders.evaluation.spark_evaluation.SparkDiversityEvaluation method) user_test (recommenders.models.sasrec.util.SASRecDataSet attribute) user_train (recommenders.models.sasrec.util.SASRecDataSet attribute) user_valid (recommenders.models.sasrec.util.SASRecDataSet attribute) usernum (recommenders.models.sasrec.sampler.WarpSampler attribute) (recommenders.models.sasrec.util.SASRecDataSet attribute) V values() (recommenders.models.deeprec.deeprec_utils.HParams method) VW (class in recommenders.models.vowpal_wabbit.vw) W WarpSampler (class in recommenders.models.sasrec.sampler) watch_memory() (in module recommenders.utils.notebook_memory_management) word2vec_embedding (recommenders.models.newsrec.models.lstur.LSTURModel attribute) (recommenders.models.newsrec.models.naml.NAMLModel attribute) (recommenders.models.newsrec.models.npa.NPAModel attribute) (recommenders.models.newsrec.models.nrms.NRMSModel attribute) word_tokenize() (in module recommenders.datasets.mind) (in module recommenders.models.newsrec.newsrec_utils) X XDeepFMModel (class in recommenders.models.deeprec.models.xDeepFM)
