Index

A

AbstractDataLoader (class in recbole.data.dataloader.abstract_dataloader) AbstractMetric (class in recbole.evaluator.base_metric) AbstractRecommender (class in recbole.model.abstract_recommender) AbstractSampler (class in recbole.sampler.sampler) AbstractTrainer (class in recbole.trainer.trainer) activation_layer() (in module recbole.model.layers) add_prefix() (recbole.data.interaction.Interaction method) AFM (class in recbole.model.context_aware_recommender.afm) afm_layer() (recbole.model.context_aware_recommender.afm.AFM method) aggregate() (recbole.model.knowledge_aware_recommender.kgcn.KGCN method) (recbole.model.knowledge_aware_recommender.kgnnls.KGNNLS method)

Aggregator (class in recbole.model.knowledge_aware_recommender.kgat) alignLoss() (in module recbole.model.knowledge_aware_recommender.ktup) attention_mlp() (recbole.model.general_recommender.nais.NAIS method) AttLayer (class in recbole.model.layers) AUC (class in recbole.evaluator.metrics) augmentation (recbole.data.dataset.customized_dataset.DIENDataset attribute) AutoInt (class in recbole.model.context_aware_recommender.autoint) autoint_layer() (recbole.model.context_aware_recommender.autoint.AutoInt method) ave_net() (recbole.model.sequential_recommender.core.CORE static method) AveragePopularity (class in recbole.evaluator.metrics) avg_actions_of_items (recbole.data.dataset.dataset.Dataset property) avg_actions_of_users (recbole.data.dataset.dataset.Dataset property)

B

BaseFactorizationMachine (class in recbole.model.layers) batch_size (recbole.data.dataloader.abstract_dataloader.AbstractDataLoader attribute) BERT4Rec (class in recbole.model.sequential_recommender.bert4rec) BiDecoder (class in recbole.model.general_recommender.gcmc) BiGNNLayer (class in recbole.model.layers) BPR (class in recbole.model.general_recommender.bpr)

BPRLoss (class in recbole.model.loss) build() (recbole.data.dataset.dataset.Dataset method) (recbole.data.dataset.sequential_dataset.SequentialDataset method) build_cross() (recbole.model.context_aware_recommender.afm.AFM method) build_map() (in module recbole.model.sequential_recommender.repeatnet) build_matrix() (recbole.model.general_recommender.dgcf.DGCF method)

C

calc_bpr_loss() (recbole.model.general_recommender.sgl.SGL method) calc_ssl_loss() (recbole.model.general_recommender.sgl.SGL method) calculate_kg_loss() (recbole.model.knowledge_aware_recommender.kgat.KGAT method) (recbole.model.knowledge_aware_recommender.ktup.KTUP method) (recbole.model.knowledge_aware_recommender.mkr.MKR method) calculate_loss() (recbole.model.abstract_recommender.AbstractRecommender method) (recbole.model.context_aware_recommender.afm.AFM method) (recbole.model.context_aware_recommender.autoint.AutoInt method) (recbole.model.context_aware_recommender.dcn.DCN method) (recbole.model.context_aware_recommender.deepfm.DeepFM method) (recbole.model.context_aware_recommender.dssm.DSSM method) (recbole.model.context_aware_recommender.ffm.FFM method) (recbole.model.context_aware_recommender.fm.FM method) (recbole.model.context_aware_recommender.fnn.FNN method) (recbole.model.context_aware_recommender.fwfm.FwFM method) (recbole.model.context_aware_recommender.lr.LR method) (recbole.model.context_aware_recommender.nfm.NFM method) (recbole.model.context_aware_recommender.pnn.PNN method) (recbole.model.context_aware_recommender.widedeep.WideDeep method) (recbole.model.context_aware_recommender.xdeepfm.xDeepFM method) (recbole.model.general_recommender.bpr.BPR method) (recbole.model.general_recommender.cdae.CDAE method) (recbole.model.general_recommender.convncf.ConvNCF method) (recbole.model.general_recommender.dgcf.DGCF method) (recbole.model.general_recommender.dmf.DMF method) (recbole.model.general_recommender.fism.FISM method) (recbole.model.general_recommender.gcmc.GCMC method) (recbole.model.general_recommender.itemknn.ItemKNN method) (recbole.model.general_recommender.lightgcn.LightGCN method) (recbole.model.general_recommender.line.LINE method) (recbole.model.general_recommender.macridvae.MacridVAE method) (recbole.model.general_recommender.multidae.MultiDAE method) (recbole.model.general_recommender.multivae.MultiVAE method) (recbole.model.general_recommender.nais.NAIS method) (recbole.model.general_recommender.ncl.NCL method) (recbole.model.general_recommender.neumf.NeuMF method) (recbole.model.general_recommender.ngcf.NGCF method) (recbole.model.general_recommender.pop.Pop method) (recbole.model.general_recommender.sgl.SGL method) (recbole.model.general_recommender.simplex.SimpleX method) (recbole.model.general_recommender.spectralcf.SpectralCF method) (recbole.model.knowledge_aware_recommender.cfkg.CFKG method) (recbole.model.knowledge_aware_recommender.cke.CKE method) (recbole.model.knowledge_aware_recommender.kgat.KGAT method) (recbole.model.knowledge_aware_recommender.kgcn.KGCN method) (recbole.model.knowledge_aware_recommender.kgnnls.KGNNLS method) (recbole.model.knowledge_aware_recommender.ktup.KTUP method) (recbole.model.knowledge_aware_recommender.ripplenet.RippleNet method) (recbole.model.sequential_recommender.bert4rec.BERT4Rec method) (recbole.model.sequential_recommender.caser.Caser method) (recbole.model.sequential_recommender.core.CORE method) (recbole.model.sequential_recommender.din.DIN method) (recbole.model.sequential_recommender.fdsa.FDSA method) (recbole.model.sequential_recommender.fossil.FOSSIL method) (recbole.model.sequential_recommender.fpmc.FPMC method) (recbole.model.sequential_recommender.gcsan.GCSAN method) (recbole.model.sequential_recommender.gru4rec.GRU4Rec method) (recbole.model.sequential_recommender.gru4recf.GRU4RecF method) (recbole.model.sequential_recommender.gru4reckg.GRU4RecKG method) (recbole.model.sequential_recommender.hgn.HGN method) (recbole.model.sequential_recommender.hrm.HRM method) (recbole.model.sequential_recommender.ksr.KSR method) (recbole.model.sequential_recommender.narm.NARM method) (recbole.model.sequential_recommender.nextitnet.NextItNet method) (recbole.model.sequential_recommender.npe.NPE method) (recbole.model.sequential_recommender.repeatnet.RepeatNet method) (recbole.model.sequential_recommender.s3rec.S3Rec method) (recbole.model.sequential_recommender.sasrec.SASRec method) (recbole.model.sequential_recommender.sasrecf.SASRecF method) (recbole.model.sequential_recommender.shan.SHAN method) (recbole.model.sequential_recommender.srgnn.SRGNN method) (recbole.model.sequential_recommender.stamp.STAMP method) (recbole.model.sequential_recommender.transrec.TransRec method)

calculate_ls_loss() (recbole.model.knowledge_aware_recommender.kgnnls.KGNNLS method) calculate_metric() (recbole.evaluator.base_metric.AbstractMetric method) (recbole.evaluator.metrics.AUC method) (recbole.evaluator.metrics.AveragePopularity method) (recbole.evaluator.metrics.GAUC method) (recbole.evaluator.metrics.GiniIndex method) (recbole.evaluator.metrics.Hit method) (recbole.evaluator.metrics.ItemCoverage method) (recbole.evaluator.metrics.LogLoss method) (recbole.evaluator.metrics.MAE method) (recbole.evaluator.metrics.MAP method) (recbole.evaluator.metrics.MRR method) (recbole.evaluator.metrics.NDCG method) (recbole.evaluator.metrics.Precision method) (recbole.evaluator.metrics.Recall method) (recbole.evaluator.metrics.RMSE method) (recbole.evaluator.metrics.ShannonEntropy method) (recbole.evaluator.metrics.TailPercentage method) calculate_reg_loss() (recbole.model.context_aware_recommender.xdeepfm.xDeepFM method) calculate_rs_loss() (recbole.model.knowledge_aware_recommender.mkr.MKR method) calculate_valid_score() (in module recbole.utils.utils) Caser (class in recbole.model.sequential_recommender.caser) cat_interactions() (in module recbole.data.interaction) CDAE (class in recbole.model.general_recommender.cdae) CFKG (class in recbole.model.knowledge_aware_recommender.cfkg) CKE (class in recbole.model.knowledge_aware_recommender.cke) ckg_graph() (recbole.data.dataset.kg_dataset.KnowledgeBasedDataset method) cluster_info() (in module recbole.evaluator.register) CNNLayers (class in recbole.model.layers) Collector (class in recbole.evaluator.collector) columns (recbole.data.interaction.Interaction property) compressed_interaction_network() (recbole.model.context_aware_recommender.xdeepfm.xDeepFM method) compute_similarity() (recbole.model.general_recommender.itemknn.ComputeSimilarity method) ComputeSimilarity (class in recbole.model.general_recommender.itemknn) concat_embed_input_fields() (recbole.model.abstract_recommender.ContextRecommender method) Config (class in recbole.config.configurator) construct_adj() (recbole.model.knowledge_aware_recommender.kgcn.KGCN method) (recbole.model.knowledge_aware_recommender.kgnnls.KGNNLS method) CONTEXT (recbole.utils.enum_type.ModelType attribute) context_forward() (recbole.model.general_recommender.line.LINE method) ContextRecommender (class in recbole.model.abstract_recommender) ContextSeqEmbAbstractLayer (class in recbole.model.layers) ContextSeqEmbLayer (class in recbole.model.layers) conv_pad() (recbole.model.sequential_recommender.nextitnet.ResidualBlock_a method) (recbole.model.sequential_recommender.nextitnet.ResidualBlock_b method) convert_to_one_hot() (recbole.model.knowledge_aware_recommender.ktup.KTUP method) ConvNCF (class in recbole.model.general_recommender.convncf) ConvNCFBPRLoss (class in recbole.model.general_recommender.convncf) copy() (recbole.data.dataset.dataset.Dataset method) copy_field_property() (recbole.data.dataset.dataset.Dataset method) CORE (class in recbole.model.sequential_recommender.core) count_alpha() (recbole.model.sequential_recommender.stamp.STAMP method) counter() (recbole.data.dataset.dataset.Dataset method) cpu() (recbole.data.interaction.Interaction method) create_adjust_matrix() (recbole.model.general_recommender.sgl.SGL method) create_cor_loss() (recbole.model.general_recommender.dgcf.DGCF method) create_dataset() (in module recbole.data.utils) create_samplers() (in module recbole.data.utils) cross_network() (recbole.model.context_aware_recommender.dcn.DCN method) CrossCompressUnit (class in recbole.model.knowledge_aware_recommender.mkr) csr2tensor() (recbole.model.general_recommender.sgl.SGL method) cutoff() (in module recbole.evaluator.utils)

D

data_augmentation() (recbole.data.dataset.customized_dataset.DIENDataset method) (recbole.data.dataset.sequential_dataset.SequentialDataset method) data_collect() (recbole.evaluator.collector.Collector method) data_preparation() (in module recbole.data.utils) Dataset (class in recbole.data.dataset.dataset) dataset (recbole.data.dataloader.abstract_dataloader.AbstractDataLoader attribute) dataset_name (recbole.data.dataset.dataset.Dataset attribute) dataset_path (recbole.data.dataset.dataset.Dataset attribute) DataStruct (class in recbole.evaluator.collector) DCN (class in recbole.model.context_aware_recommender.dcn) DECISIONTREE (recbole.utils.enum_type.ModelType attribute)

DecisionTreeTrainer (class in recbole.trainer.trainer) DeepFM (class in recbole.model.context_aware_recommender.deepfm) DGCF (class in recbole.model.general_recommender.dgcf) Dice (class in recbole.model.layers) dict2str() (in module recbole.utils.utils) DIENDataset (class in recbole.data.dataset.customized_dataset) DIN (class in recbole.model.sequential_recommender.din) DMF (class in recbole.model.general_recommender.dmf) double_tower_embed_input_fields() (recbole.model.abstract_recommender.ContextRecommender method) drop() (recbole.data.interaction.Interaction method) DSSM (class in recbole.model.context_aware_recommender.dssm) dump_parameters() (recbole.model.general_recommender.neumf.NeuMF method)

E

e_step() (recbole.model.general_recommender.ncl.NCL method) early_stopping() (in module recbole.utils.utils) embed_float_fields() (recbole.model.abstract_recommender.ContextRecommender method) (recbole.model.layers.ContextSeqEmbAbstractLayer method) (recbole.model.layers.FMFirstOrderLinear method) embed_input_fields() (recbole.model.abstract_recommender.ContextRecommender method) (recbole.model.layers.ContextSeqEmbAbstractLayer method) embed_token_fields() (recbole.model.abstract_recommender.ContextRecommender method) (recbole.model.layers.ContextSeqEmbAbstractLayer method) (recbole.model.layers.FMFirstOrderLinear method) embed_token_seq_fields() (recbole.model.abstract_recommender.ContextRecommender method) (recbole.model.layers.ContextSeqEmbAbstractLayer method) (recbole.model.layers.FMFirstOrderLinear method) EmbLoss (class in recbole.model.loss) EmbMarginLoss (class in recbole.model.loss) ensure_dir() (in module recbole.utils.utils) entities (recbole.data.dataset.kg_dataset.KnowledgeBasedDataset property)

entity2item (recbole.data.dataset.kg_dataset.KnowledgeBasedDataset attribute) entity_field (recbole.data.dataset.kg_dataset.KnowledgeBasedDataset attribute) entity_num (recbole.data.dataset.kg_dataset.KnowledgeBasedDataset property) eval_batch_collect() (recbole.evaluator.collector.Collector method) eval_collect() (recbole.evaluator.collector.Collector method) evaluate() (recbole.evaluator.evaluator.Evaluator method) (recbole.trainer.trainer.AbstractTrainer method) (recbole.trainer.trainer.DecisionTreeTrainer method) (recbole.trainer.trainer.lightgbmTrainer method) (recbole.trainer.trainer.Trainer method) (recbole.trainer.trainer.xgboostTrainer method) Evaluator (class in recbole.evaluator.evaluator) EvaluatorType (class in recbole.utils.enum_type) exhaustive_search() (in module recbole.trainer.hyper_tuning) ExhaustiveSearchError Explore_Recommendation_Decoder (class in recbole.model.sequential_recommender.repeatnet) export_result() (recbole.trainer.hyper_tuning.HyperTuning method)

F

FDSA (class in recbole.model.sequential_recommender.fdsa) feat_name_list (recbole.data.dataset.dataset.Dataset attribute) feature_gating() (recbole.model.sequential_recommender.hgn.HGN method) FeatureSeqEmbLayer (class in recbole.model.layers) FeatureSource (class in recbole.utils.enum_type) FeatureType (class in recbole.utils.enum_type) FeedForward (class in recbole.model.layers) FFM (class in recbole.model.context_aware_recommender.ffm) field2feats() (recbole.data.dataset.dataset.Dataset method) field2id_token (recbole.data.dataset.dataset.Dataset attribute) field2seqlen (recbole.data.dataset.dataset.Dataset attribute) field2source (recbole.data.dataset.dataset.Dataset attribute) field2token_id (recbole.data.dataset.dataset.Dataset attribute) field2type (recbole.data.dataset.dataset.Dataset attribute) FieldAwareFactorizationMachine (class in recbole.model.context_aware_recommender.ffm) fields() (recbole.data.dataset.dataset.Dataset method) filter() (recbole.utils.logger.RemoveColorFilter method) FISM (class in recbole.model.general_recommender.fism) fit() (recbole.trainer.trainer.AbstractTrainer method) (recbole.trainer.trainer.DecisionTreeTrainer method) (recbole.trainer.trainer.NCLTrainer method) (recbole.trainer.trainer.RaCTTrainer method) (recbole.trainer.trainer.S3RecTrainer method) (recbole.trainer.trainer.Trainer method) FLOAT (recbole.utils.enum_type.FeatureType attribute) float_like_fields (recbole.data.dataset.dataset.Dataset property) FLOAT_SEQ (recbole.utils.enum_type.FeatureType attribute) FM (class in recbole.model.context_aware_recommender.fm) FMEmbedding (class in recbole.model.layers) FMFirstOrderLinear (class in recbole.model.layers) FNN (class in recbole.model.context_aware_recommender.fnn) forward() (recbole.model.context_aware_recommender.afm.AFM method) (recbole.model.context_aware_recommender.autoint.AutoInt method) (recbole.model.context_aware_recommender.dcn.DCN method) (recbole.model.context_aware_recommender.deepfm.DeepFM method) (recbole.model.context_aware_recommender.dssm.DSSM method) (recbole.model.context_aware_recommender.ffm.FFM method) (recbole.model.context_aware_recommender.ffm.FieldAwareFactorizationMachine method) (recbole.model.context_aware_recommender.fm.FM method) (recbole.model.context_aware_recommender.fnn.FNN method) (recbole.model.context_aware_recommender.fwfm.FwFM method) (recbole.model.context_aware_recommender.lr.LR method) (recbole.model.context_aware_recommender.nfm.NFM method) (recbole.model.context_aware_recommender.pnn.InnerProductLayer method) (recbole.model.context_aware_recommender.pnn.OuterProductLayer method) (recbole.model.context_aware_recommender.pnn.PNN method) (recbole.model.context_aware_recommender.widedeep.WideDeep method) (recbole.model.context_aware_recommender.xdeepfm.xDeepFM method) (recbole.model.general_recommender.bpr.BPR method) (recbole.model.general_recommender.cdae.CDAE method) (recbole.model.general_recommender.convncf.ConvNCF method) (recbole.model.general_recommender.convncf.ConvNCFBPRLoss method) (recbole.model.general_recommender.dgcf.DGCF method) (recbole.model.general_recommender.dmf.DMF method) (recbole.model.general_recommender.fism.FISM method) (recbole.model.general_recommender.gcmc.BiDecoder method) (recbole.model.general_recommender.gcmc.GcEncoder method) (recbole.model.general_recommender.gcmc.GCMC method) (recbole.model.general_recommender.itemknn.ItemKNN method) (recbole.model.general_recommender.lightgcn.LightGCN method) (recbole.model.general_recommender.line.LINE method) (recbole.model.general_recommender.line.NegSamplingLoss method) (recbole.model.general_recommender.macridvae.MacridVAE method) (recbole.model.general_recommender.multidae.MultiDAE method) (recbole.model.general_recommender.multivae.MultiVAE method) (recbole.model.general_recommender.nais.NAIS method) (recbole.model.general_recommender.ncl.NCL method) (recbole.model.general_recommender.neumf.NeuMF method) (recbole.model.general_recommender.ngcf.NGCF method) (recbole.model.general_recommender.pop.Pop method) (recbole.model.general_recommender.sgl.SGL method) (recbole.model.general_recommender.simplex.SimpleX method) (recbole.model.general_recommender.spectralcf.SpectralCF method) (recbole.model.knowledge_aware_recommender.cfkg.CFKG method) (recbole.model.knowledge_aware_recommender.cfkg.InnerProductLoss method) (recbole.model.knowledge_aware_recommender.cke.CKE method) (recbole.model.knowledge_aware_recommender.kgat.Aggregator method) (recbole.model.knowledge_aware_recommender.kgat.KGAT method) (recbole.model.knowledge_aware_recommender.kgcn.KGCN method) (recbole.model.knowledge_aware_recommender.kgnnls.KGNNLS method) (recbole.model.knowledge_aware_recommender.ktup.KTUP method) (recbole.model.knowledge_aware_recommender.mkr.CrossCompressUnit method) (recbole.model.knowledge_aware_recommender.mkr.MKR method) (recbole.model.knowledge_aware_recommender.ripplenet.RippleNet method) (recbole.model.layers.AttLayer method) (recbole.model.layers.BaseFactorizationMachine method) (recbole.model.layers.BiGNNLayer method) (recbole.model.layers.CNNLayers method) (recbole.model.layers.ContextSeqEmbAbstractLayer method) (recbole.model.layers.Dice method) (recbole.model.layers.FeedForward method) (recbole.model.layers.FMEmbedding method) (recbole.model.layers.FMFirstOrderLinear method) (recbole.model.layers.ItemToInterestAggregation method) (recbole.model.layers.LightMultiHeadAttention method) (recbole.model.layers.LightTransformerEncoder method) (recbole.model.layers.LightTransformerLayer method) (recbole.model.layers.MLPLayers method) (recbole.model.layers.MultiHeadAttention method) (recbole.model.layers.SequenceAttLayer method) (recbole.model.layers.SparseDropout method) (recbole.model.layers.TransformerEncoder method) (recbole.model.layers.TransformerLayer method) (recbole.model.layers.VanillaAttention method) (recbole.model.loss.BPRLoss method) (recbole.model.loss.EmbLoss method) (recbole.model.loss.EmbMarginLoss method) (recbole.model.loss.RegLoss method) (recbole.model.sequential_recommender.bert4rec.BERT4Rec method) (recbole.model.sequential_recommender.caser.Caser method) (recbole.model.sequential_recommender.core.CORE method) (recbole.model.sequential_recommender.core.TransNet method) (recbole.model.sequential_recommender.din.DIN method) (recbole.model.sequential_recommender.fdsa.FDSA method) (recbole.model.sequential_recommender.fossil.FOSSIL method) (recbole.model.sequential_recommender.fpmc.FPMC method) (recbole.model.sequential_recommender.gcsan.GCSAN method) (recbole.model.sequential_recommender.gcsan.GNN method) (recbole.model.sequential_recommender.gru4rec.GRU4Rec method) (recbole.model.sequential_recommender.gru4recf.GRU4RecF method) (recbole.model.sequential_recommender.gru4reckg.GRU4RecKG method) (recbole.model.sequential_recommender.hgn.HGN method) (recbole.model.sequential_recommender.hrm.HRM method) (recbole.model.sequential_recommender.ksr.KSR method) (recbole.model.sequential_recommender.narm.NARM method) (recbole.model.sequential_recommender.nextitnet.NextItNet method) (recbole.model.sequential_recommender.nextitnet.ResidualBlock_a method) (recbole.model.sequential_recommender.nextitnet.ResidualBlock_b method) (recbole.model.sequential_recommender.npe.NPE method) (recbole.model.sequential_recommender.repeatnet.Explore_Recommendation_Decoder method) (recbole.model.sequential_recommender.repeatnet.Repeat_Explore_Mechanism method) (recbole.model.sequential_recommender.repeatnet.Repeat_Recommendation_Decoder method) (recbole.model.sequential_recommender.repeatnet.RepeatNet method) (recbole.model.sequential_recommender.s3rec.S3Rec method) (recbole.model.sequential_recommender.sasrec.SASRec method) (recbole.model.sequential_recommender.sasrecf.SASRecF method) (recbole.model.sequential_recommender.shan.SHAN method) (recbole.model.sequential_recommender.srgnn.GNN method) (recbole.model.sequential_recommender.srgnn.SRGNN method) (recbole.model.sequential_recommender.stamp.STAMP method) (recbole.model.sequential_recommender.transrec.TransRec method)

FOSSIL (class in recbole.model.sequential_recommender.fossil) FPMC (class in recbole.model.sequential_recommender.fpmc) full_sort_predict() (recbole.model.abstract_recommender.AbstractRecommender method) (recbole.model.general_recommender.bpr.BPR method) (recbole.model.general_recommender.cdae.CDAE method) (recbole.model.general_recommender.dgcf.DGCF method) (recbole.model.general_recommender.dmf.DMF method) (recbole.model.general_recommender.fism.FISM method) (recbole.model.general_recommender.gcmc.GCMC method) (recbole.model.general_recommender.itemknn.ItemKNN method) (recbole.model.general_recommender.lightgcn.LightGCN method) (recbole.model.general_recommender.line.LINE method) (recbole.model.general_recommender.macridvae.MacridVAE method) (recbole.model.general_recommender.multidae.MultiDAE method) (recbole.model.general_recommender.multivae.MultiVAE method) (recbole.model.general_recommender.nais.NAIS method) (recbole.model.general_recommender.ncl.NCL method) (recbole.model.general_recommender.ngcf.NGCF method) (recbole.model.general_recommender.pop.Pop method) (recbole.model.general_recommender.sgl.SGL method) (recbole.model.general_recommender.simplex.SimpleX method) (recbole.model.general_recommender.spectralcf.SpectralCF method) (recbole.model.knowledge_aware_recommender.cke.CKE method) (recbole.model.knowledge_aware_recommender.kgat.KGAT method) (recbole.model.knowledge_aware_recommender.kgcn.KGCN method) (recbole.model.knowledge_aware_recommender.kgnnls.KGNNLS method) (recbole.model.knowledge_aware_recommender.ripplenet.RippleNet method) (recbole.model.sequential_recommender.bert4rec.BERT4Rec method) (recbole.model.sequential_recommender.caser.Caser method) (recbole.model.sequential_recommender.core.CORE method) (recbole.model.sequential_recommender.fdsa.FDSA method) (recbole.model.sequential_recommender.fossil.FOSSIL method) (recbole.model.sequential_recommender.fpmc.FPMC method) (recbole.model.sequential_recommender.gcsan.GCSAN method) (recbole.model.sequential_recommender.gru4rec.GRU4Rec method) (recbole.model.sequential_recommender.gru4recf.GRU4RecF method) (recbole.model.sequential_recommender.gru4reckg.GRU4RecKG method) (recbole.model.sequential_recommender.hgn.HGN method) (recbole.model.sequential_recommender.hrm.HRM method) (recbole.model.sequential_recommender.ksr.KSR method) (recbole.model.sequential_recommender.narm.NARM method) (recbole.model.sequential_recommender.nextitnet.NextItNet method) (recbole.model.sequential_recommender.npe.NPE method) (recbole.model.sequential_recommender.repeatnet.RepeatNet method) (recbole.model.sequential_recommender.s3rec.S3Rec method) (recbole.model.sequential_recommender.sasrec.SASRec method) (recbole.model.sequential_recommender.sasrecf.SASRecF method) (recbole.model.sequential_recommender.shan.SHAN method) (recbole.model.sequential_recommender.srgnn.SRGNN method) (recbole.model.sequential_recommender.stamp.STAMP method) (recbole.model.sequential_recommender.transrec.TransRec method) full_sort_scores() (in module recbole.utils.case_study) full_sort_topk() (in module recbole.utils.case_study) FullSortEvalDataLoader (class in recbole.data.dataloader.general_dataloader) FwFM (class in recbole.model.context_aware_recommender.fwfm) fwfm_layer() (recbole.model.context_aware_recommender.fwfm.FwFM method)

G

gather_indexes() (recbole.model.abstract_recommender.SequentialRecommender method) gather_last_items() (recbole.model.sequential_recommender.transrec.TransRec method) GAUC (class in recbole.evaluator.metrics) GcEncoder (class in recbole.model.general_recommender.gcmc) GCMC (class in recbole.model.general_recommender.gcmc) GCSAN (class in recbole.model.sequential_recommender.gcsan) gelu() (recbole.model.layers.FeedForward method) GENERAL (recbole.utils.enum_type.ModelType attribute) GeneralRecommender (class in recbole.model.abstract_recommender) generate_transE_score() (recbole.model.knowledge_aware_recommender.kgat.KGAT method) get() (recbole.evaluator.collector.DataStruct method) get_attention_mask() (recbole.model.abstract_recommender.SequentialRecommender method) (recbole.model.sequential_recommender.core.TransNet method) get_cos() (recbole.model.general_recommender.simplex.SimpleX method) get_coverage() (recbole.evaluator.metrics.ItemCoverage method) get_data_struct() (recbole.evaluator.collector.Collector method) get_dataloader() (in module recbole.data.utils) get_ego_embeddings() (recbole.model.general_recommender.lightgcn.LightGCN method) (recbole.model.general_recommender.ncl.NCL method) (recbole.model.general_recommender.ngcf.NGCF method) (recbole.model.general_recommender.spectralcf.SpectralCF method) get_embedding() (recbole.model.layers.ContextSeqEmbAbstractLayer method) get_entropy() (recbole.evaluator.metrics.ShannonEntropy method) get_eye_mat() (recbole.model.general_recommender.ngcf.NGCF method) (recbole.model.general_recommender.spectralcf.SpectralCF method) get_ffm_input() (recbole.model.context_aware_recommender.ffm.FFM method) get_fields_name_dim() (recbole.model.layers.ContextSeqEmbAbstractLayer method) get_gini() (recbole.evaluator.metrics.GiniIndex method) get_gpu_usage() (in module recbole.utils.utils) get_hidden_act() (recbole.model.layers.FeedForward method) get_high_order_Markov() (recbole.model.sequential_recommender.fossil.FOSSIL method) get_history_info() (recbole.model.general_recommender.fism.FISM method) (recbole.model.general_recommender.nais.NAIS method) get_interaction_table() (recbole.model.knowledge_aware_recommender.kgnnls.KGNNLS method) get_item_embedding() (recbole.model.general_recommender.bpr.BPR method) (recbole.model.general_recommender.dmf.DMF method) get_item_feature() (recbole.data.dataset.dataset.Dataset method) get_laplacian_matrix() (recbole.model.general_recommender.spectralcf.SpectralCF method) get_local_time() (in module recbole.utils.utils) get_model() (in module recbole.utils.utils) (recbole.data.dataloader.abstract_dataloader.NegSampleDataLoader method) (recbole.data.dataloader.knowledge_dataloader.KnowledgeBasedDataLoader method)

get_neighbors() (recbole.model.knowledge_aware_recommender.kgcn.KGCN method) (recbole.model.knowledge_aware_recommender.kgnnls.KGNNLS method) get_norm_adj_mat() (recbole.model.general_recommender.gcmc.GCMC method) (recbole.model.general_recommender.lightgcn.LightGCN method) (recbole.model.general_recommender.ncl.NCL method) (recbole.model.general_recommender.ngcf.NGCF method) get_pop() (recbole.evaluator.metrics.AveragePopularity method) get_preload_weight() (recbole.data.dataset.dataset.Dataset method) get_rating_matrix() (recbole.model.general_recommender.cdae.CDAE method) (recbole.model.general_recommender.macridvae.MacridVAE method) (recbole.model.general_recommender.multidae.MultiDAE method) (recbole.model.general_recommender.multivae.MultiVAE method) get_similarity() (recbole.model.sequential_recommender.fossil.FOSSIL method) get_sparse_eye_mat() (recbole.model.general_recommender.gcmc.GCMC method) get_tail() (recbole.evaluator.metrics.TailPercentage method) get_tensorboard() (in module recbole.utils.utils) get_trainer() (in module recbole.utils.utils) get_UI_aggregation() (recbole.model.general_recommender.simplex.SimpleX method) get_used_ids() (recbole.model.general_recommender.line.LINE method) (recbole.sampler.sampler.AbstractSampler method) (recbole.sampler.sampler.KGSampler method) (recbole.sampler.sampler.RepeatableSampler method) (recbole.sampler.sampler.Sampler method) (recbole.sampler.sampler.SeqSampler method) get_user_embedding() (recbole.model.general_recommender.bpr.BPR method) (recbole.model.general_recommender.dmf.DMF method) get_user_feature() (recbole.data.dataset.dataset.Dataset method) get_user_id_list() (recbole.model.general_recommender.line.LINE method) GiniIndex (class in recbole.evaluator.metrics) GNN (class in recbole.model.sequential_recommender.gcsan) (class in recbole.model.sequential_recommender.srgnn) GNNCell() (recbole.model.sequential_recommender.gcsan.GNN method) (recbole.model.sequential_recommender.srgnn.GNN method) graph_construction() (recbole.model.general_recommender.sgl.SGL method) GRU4Rec (class in recbole.model.sequential_recommender.gru4rec) GRU4RecF (class in recbole.model.sequential_recommender.gru4recf) GRU4RecKG (class in recbole.model.sequential_recommender.gru4reckg) GRU4RecKGDataset (class in recbole.data.dataset.customized_dataset)

H

has_metric() (recbole.evaluator.register.Register method) head_entities (recbole.data.dataset.kg_dataset.KnowledgeBasedDataset property) head_entity_field (recbole.data.dataset.kg_dataset.KnowledgeBasedDataset attribute) HGN (class in recbole.model.sequential_recommender.hgn)

history_item_matrix() (recbole.data.dataset.dataset.Dataset method) history_user_matrix() (recbole.data.dataset.dataset.Dataset method) Hit (class in recbole.evaluator.metrics) HRM (class in recbole.model.sequential_recommender.hrm) HyperTuning (class in recbole.trainer.hyper_tuning)

I

id2token() (recbole.data.dataset.dataset.Dataset method) iid_field (recbole.data.dataset.dataset.Dataset attribute) init_graph() (recbole.model.knowledge_aware_recommender.kgat.KGAT method) init_logger() (in module recbole.utils.logger) init_seed() (in module recbole.utils.utils) init_weights() (recbole.model.layers.CNNLayers method) (recbole.model.layers.MLPLayers method) (recbole.model.sequential_recommender.fossil.FOSSIL method) (recbole.model.sequential_recommender.shan.SHAN method) InnerProductLayer (class in recbole.model.context_aware_recommender.pnn) InnerProductLoss (class in recbole.model.knowledge_aware_recommender.cfkg) input_type (recbole.model.abstract_recommender.ContextRecommender attribute) (recbole.model.exlib_recommender.lightgbm.lightgbm attribute) (recbole.model.exlib_recommender.xgboost.xgboost attribute) (recbole.model.general_recommender.bpr.BPR attribute) (recbole.model.general_recommender.cdae.CDAE attribute) (recbole.model.general_recommender.convncf.ConvNCF attribute) (recbole.model.general_recommender.dgcf.DGCF attribute) (recbole.model.general_recommender.dmf.DMF attribute) (recbole.model.general_recommender.fism.FISM attribute) (recbole.model.general_recommender.gcmc.GCMC attribute) (recbole.model.general_recommender.itemknn.ItemKNN attribute) (recbole.model.general_recommender.lightgcn.LightGCN attribute) (recbole.model.general_recommender.line.LINE attribute) (recbole.model.general_recommender.macridvae.MacridVAE attribute) (recbole.model.general_recommender.multidae.MultiDAE attribute) (recbole.model.general_recommender.multivae.MultiVAE attribute) (recbole.model.general_recommender.nais.NAIS attribute) (recbole.model.general_recommender.ncl.NCL attribute) (recbole.model.general_recommender.neumf.NeuMF attribute) (recbole.model.general_recommender.ngcf.NGCF attribute) (recbole.model.general_recommender.pop.Pop attribute) (recbole.model.general_recommender.sgl.SGL attribute) (recbole.model.general_recommender.simplex.SimpleX attribute) (recbole.model.general_recommender.spectralcf.SpectralCF attribute) (recbole.model.knowledge_aware_recommender.cfkg.CFKG attribute) (recbole.model.knowledge_aware_recommender.cke.CKE attribute) (recbole.model.knowledge_aware_recommender.kgat.KGAT attribute) (recbole.model.knowledge_aware_recommender.kgcn.KGCN attribute) (recbole.model.knowledge_aware_recommender.kgnnls.KGNNLS attribute) (recbole.model.knowledge_aware_recommender.ktup.KTUP attribute) (recbole.model.knowledge_aware_recommender.mkr.MKR attribute) (recbole.model.knowledge_aware_recommender.ripplenet.RippleNet attribute) (recbole.model.sequential_recommender.din.DIN attribute) (recbole.model.sequential_recommender.fpmc.FPMC attribute) (recbole.model.sequential_recommender.repeatnet.RepeatNet attribute) (recbole.model.sequential_recommender.transrec.TransRec attribute)

InputType (class in recbole.utils.enum_type) instance_gating() (recbole.model.sequential_recommender.hgn.HGN method) inter_feat (recbole.data.dataset.dataset.Dataset attribute) inter_forward() (recbole.model.general_recommender.fism.FISM method) (recbole.model.general_recommender.nais.NAIS method) inter_matrix() (recbole.data.dataset.dataset.Dataset method) (recbole.data.dataset.sequential_dataset.SequentialDataset method) inter_num (recbole.data.dataset.dataset.Dataset property) Interaction (class in recbole.data.interaction) interaction (recbole.data.interaction.Interaction attribute) INTERACTION (recbole.utils.enum_type.FeatureSource attribute) inverse_seq_item() (recbole.model.sequential_recommender.hrm.HRM method) (recbole.model.sequential_recommender.shan.SHAN method) inverse_seq_item_embedding() (recbole.model.sequential_recommender.fossil.FOSSIL method) ITEM (recbole.utils.enum_type.FeatureSource attribute) item2entity (recbole.data.dataset.kg_dataset.KnowledgeBasedDataset attribute) item_counter (recbole.data.dataset.dataset.Dataset property) item_feat (recbole.data.dataset.dataset.Dataset attribute) ITEM_ID (recbole.utils.enum_type.FeatureSource attribute) item_list_length_field (recbole.data.dataset.sequential_dataset.SequentialDataset attribute) item_num (recbole.data.dataset.dataset.Dataset property) ItemCoverage (class in recbole.evaluator.metrics) ItemKNN (class in recbole.model.general_recommender.itemknn) ItemToInterestAggregation (class in recbole.model.layers)

J

join() (recbole.data.dataset.dataset.Dataset method)

K

KG (recbole.utils.enum_type.FeatureSource attribute) (recbole.utils.enum_type.KGDataLoaderState attribute) kg_feat (recbole.data.dataset.kg_dataset.KnowledgeBasedDataset attribute) kg_graph() (recbole.data.dataset.kg_dataset.KnowledgeBasedDataset method) KGAT (class in recbole.model.knowledge_aware_recommender.kgat) KGATTrainer (class in recbole.trainer.trainer) KGCN (class in recbole.model.knowledge_aware_recommender.kgcn) KGDataLoader (class in recbole.data.dataloader.knowledge_dataloader) KGDataLoaderState (class in recbole.utils.enum_type) KGNNLS (class in recbole.model.knowledge_aware_recommender.kgnnls)

KGSampler (class in recbole.sampler.sampler) KGSeqDataset (class in recbole.data.dataset.kg_seq_dataset) KGTrainer (class in recbole.trainer.trainer) KNOWLEDGE (recbole.utils.enum_type.ModelType attribute) KnowledgeBasedDataLoader (class in recbole.data.dataloader.knowledge_dataloader) KnowledgeBasedDataset (class in recbole.data.dataset.kg_dataset) KnowledgeRecommender (class in recbole.model.abstract_recommender) KSR (class in recbole.model.sequential_recommender.ksr) KSRDataset (class in recbole.data.dataset.customized_dataset) KTUP (class in recbole.model.knowledge_aware_recommender.ktup)

L

label_field (recbole.data.dataset.dataset.Dataset attribute) label_smoothness_predict() (recbole.model.knowledge_aware_recommender.kgnnls.KGNNLS method) leave_one_out() (recbole.data.dataset.dataset.Dataset method) lightgbm (class in recbole.model.exlib_recommender.lightgbm) lightgbmTrainer (class in recbole.trainer.trainer) LightGCN (class in recbole.model.general_recommender.lightgcn) LightMultiHeadAttention (class in recbole.model.layers) LightTransformerEncoder (class in recbole.model.layers) LightTransformerLayer (class in recbole.model.layers) LINE (class in recbole.model.general_recommender.line) LISTWISE (recbole.utils.enum_type.InputType attribute) load_data_and_model() (in module recbole.quick_start.quick_start)

load_other_parameter() (recbole.model.abstract_recommender.AbstractRecommender method) (recbole.model.exlib_recommender.lightgbm.lightgbm method) (recbole.model.exlib_recommender.xgboost.xgboost method) load_pretrain() (recbole.model.general_recommender.neumf.NeuMF method) load_split_dataloaders() (in module recbole.data.utils) load_state_dict() (recbole.model.exlib_recommender.lightgbm.lightgbm method) (recbole.model.exlib_recommender.xgboost.xgboost method) LogLoss (class in recbole.evaluator.metrics) long_and_short_term_attention_based_pooling_layer() (recbole.model.sequential_recommender.shan.SHAN method) long_term_attention_based_pooling_layer() (recbole.model.sequential_recommender.shan.SHAN method) LossMetric (class in recbole.evaluator.base_metric) LR (class in recbole.model.context_aware_recommender.lr)

M

MacridVAE (class in recbole.model.general_recommender.macridvae) MAE (class in recbole.evaluator.metrics) MAP (class in recbole.evaluator.metrics) mask_softmax() (recbole.model.general_recommender.nais.NAIS method) max_item_list_len (recbole.data.dataset.sequential_dataset.SequentialDataset attribute) memory_read() (recbole.model.sequential_recommender.ksr.KSR method) memory_update() (recbole.model.sequential_recommender.ksr.KSR method) metric_info() (recbole.evaluator.base_metric.LossMetric method) (recbole.evaluator.base_metric.TopkMetric method) (recbole.evaluator.metrics.AUC method) (recbole.evaluator.metrics.AveragePopularity method) (recbole.evaluator.metrics.GAUC method) (recbole.evaluator.metrics.Hit method) (recbole.evaluator.metrics.LogLoss method) (recbole.evaluator.metrics.MAE method) (recbole.evaluator.metrics.MAP method) (recbole.evaluator.metrics.MRR method) (recbole.evaluator.metrics.NDCG method) (recbole.evaluator.metrics.Precision method) (recbole.evaluator.metrics.Recall method) (recbole.evaluator.metrics.RMSE method) (recbole.evaluator.metrics.TailPercentage method) metric_need (recbole.evaluator.base_metric.LossMetric attribute) (recbole.evaluator.base_metric.TopkMetric attribute) (recbole.evaluator.metrics.AveragePopularity attribute) (recbole.evaluator.metrics.GAUC attribute) (recbole.evaluator.metrics.GiniIndex attribute) (recbole.evaluator.metrics.ItemCoverage attribute) (recbole.evaluator.metrics.ShannonEntropy attribute) (recbole.evaluator.metrics.TailPercentage attribute) metric_type (recbole.evaluator.base_metric.LossMetric attribute) (recbole.evaluator.base_metric.TopkMetric attribute) (recbole.evaluator.metrics.AveragePopularity attribute) (recbole.evaluator.metrics.GAUC attribute) (recbole.evaluator.metrics.GiniIndex attribute) (recbole.evaluator.metrics.ItemCoverage attribute) (recbole.evaluator.metrics.ShannonEntropy attribute) (recbole.evaluator.metrics.TailPercentage attribute) mix_neighbor_vectors() (recbole.model.knowledge_aware_recommender.kgcn.KGCN method) MKR (class in recbole.model.knowledge_aware_recommender.mkr) MKRTrainer (class in recbole.trainer.trainer) mlp_layers() (recbole.model.general_recommender.macridvae.MacridVAE method) (recbole.model.general_recommender.multidae.MultiDAE method) (recbole.model.general_recommender.multivae.MultiVAE method) MLPLayers (class in recbole.model.layers) model_collect() (recbole.evaluator.collector.Collector method) ModelType (class in recbole.utils.enum_type) module recbole.config.configurator recbole.data.dataloader.abstract_dataloader recbole.data.dataloader.general_dataloader recbole.data.dataloader.knowledge_dataloader recbole.data.dataloader.user_dataloader recbole.data.dataset.customized_dataset recbole.data.dataset.dataset recbole.data.dataset.kg_dataset recbole.data.dataset.kg_seq_dataset recbole.data.dataset.sequential_dataset recbole.data.interaction recbole.data.utils recbole.evaluator.base_metric recbole.evaluator.collector recbole.evaluator.evaluator recbole.evaluator.metrics recbole.evaluator.register recbole.evaluator.utils recbole.model.abstract_recommender recbole.model.context_aware_recommender.afm recbole.model.context_aware_recommender.autoint recbole.model.context_aware_recommender.dcn recbole.model.context_aware_recommender.deepfm recbole.model.context_aware_recommender.dssm recbole.model.context_aware_recommender.ffm recbole.model.context_aware_recommender.fm recbole.model.context_aware_recommender.fnn recbole.model.context_aware_recommender.fwfm recbole.model.context_aware_recommender.lr recbole.model.context_aware_recommender.nfm recbole.model.context_aware_recommender.pnn recbole.model.context_aware_recommender.widedeep recbole.model.context_aware_recommender.xdeepfm recbole.model.exlib_recommender.lightgbm recbole.model.exlib_recommender.xgboost recbole.model.general_recommender.bpr recbole.model.general_recommender.cdae recbole.model.general_recommender.convncf recbole.model.general_recommender.dgcf recbole.model.general_recommender.dmf recbole.model.general_recommender.fism recbole.model.general_recommender.gcmc recbole.model.general_recommender.itemknn recbole.model.general_recommender.lightgcn recbole.model.general_recommender.line recbole.model.general_recommender.macridvae recbole.model.general_recommender.multidae recbole.model.general_recommender.multivae recbole.model.general_recommender.nais recbole.model.general_recommender.ncl recbole.model.general_recommender.neumf recbole.model.general_recommender.ngcf recbole.model.general_recommender.pop recbole.model.general_recommender.sgl recbole.model.general_recommender.simplex recbole.model.general_recommender.spectralcf recbole.model.init recbole.model.knowledge_aware_recommender.cfkg recbole.model.knowledge_aware_recommender.cke recbole.model.knowledge_aware_recommender.kgat recbole.model.knowledge_aware_recommender.kgcn recbole.model.knowledge_aware_recommender.kgnnls recbole.model.knowledge_aware_recommender.ktup recbole.model.knowledge_aware_recommender.mkr recbole.model.knowledge_aware_recommender.ripplenet recbole.model.layers recbole.model.loss recbole.model.sequential_recommender.bert4rec recbole.model.sequential_recommender.caser recbole.model.sequential_recommender.core recbole.model.sequential_recommender.din recbole.model.sequential_recommender.fdsa recbole.model.sequential_recommender.fossil recbole.model.sequential_recommender.fpmc recbole.model.sequential_recommender.gcsan recbole.model.sequential_recommender.gru4rec recbole.model.sequential_recommender.gru4recf recbole.model.sequential_recommender.gru4reckg recbole.model.sequential_recommender.hgn recbole.model.sequential_recommender.hrm recbole.model.sequential_recommender.ksr recbole.model.sequential_recommender.narm recbole.model.sequential_recommender.nextitnet recbole.model.sequential_recommender.npe recbole.model.sequential_recommender.repeatnet recbole.model.sequential_recommender.s3rec recbole.model.sequential_recommender.sasrec recbole.model.sequential_recommender.sasrecf recbole.model.sequential_recommender.shan recbole.model.sequential_recommender.srgnn recbole.model.sequential_recommender.stamp recbole.model.sequential_recommender.transrec recbole.quick_start.quick_start recbole.sampler.sampler recbole.trainer.hyper_tuning recbole.trainer.trainer recbole.utils.case_study recbole.utils.enum_type recbole.utils.logger recbole.utils.utils

MRR (class in recbole.evaluator.metrics) multi_hot_embed() (recbole.model.sequential_recommender.bert4rec.BERT4Rec method) MultiDAE (class in recbole.model.general_recommender.multidae) MultiHeadAttention (class in recbole.model.layers) MultiVAE (class in recbole.model.general_recommender.multivae)

N

NAIS (class in recbole.model.general_recommender.nais) NARM (class in recbole.model.sequential_recommender.narm) NCL (class in recbole.model.general_recommender.ncl) NCLTrainer (class in recbole.trainer.trainer) NDCG (class in recbole.evaluator.metrics) need() (recbole.evaluator.register.Register method) neg_item_list (recbole.data.dataset.customized_dataset.DIENDataset attribute) neg_item_list_field (recbole.data.dataset.customized_dataset.DIENDataset attribute) NegSampleDataLoader (class in recbole.data.dataloader.abstract_dataloader) NegSampleEvalDataLoader (class in recbole.data.dataloader.general_dataloader)

NegSamplingLoss (class in recbole.model.general_recommender.line) NET (recbole.utils.enum_type.FeatureSource attribute) NeuMF (class in recbole.model.general_recommender.neumf) NextItNet (class in recbole.model.sequential_recommender.nextitnet) NFM (class in recbole.model.context_aware_recommender.nfm) NGCF (class in recbole.model.general_recommender.ngcf) non_seq_fields (recbole.data.dataset.dataset.Dataset property) NPE (class in recbole.model.sequential_recommender.npe) num() (recbole.data.dataset.dataset.Dataset method) numpy() (recbole.data.interaction.Interaction method)

O

objective_function() (in module recbole.quick_start.quick_start) orthogonal() (in module recbole.model.general_recommender.gcmc) orthogonalLoss() (in module recbole.model.knowledge_aware_recommender.ktup)

other_parameter() (recbole.model.abstract_recommender.AbstractRecommender method) OuterProductLayer (class in recbole.model.context_aware_recommender.pnn) output_metric() (recbole.evaluator.base_metric.LossMetric method)

P

pad_sequence() (in module recbole.evaluator.utils) PAIRWISE (recbole.utils.enum_type.InputType attribute) params2str() (recbole.trainer.hyper_tuning.HyperTuning static method) phase (recbole.sampler.sampler.RepeatableSampler attribute) (recbole.sampler.sampler.Sampler attribute) PNN (class in recbole.model.context_aware_recommender.pnn) POINTWISE (recbole.utils.enum_type.InputType attribute) Pop (class in recbole.model.general_recommender.pop) pr (recbole.data.dataloader.abstract_dataloader.AbstractDataLoader attribute) pr_end (recbole.data.dataloader.abstract_dataloader.AbstractDataLoader property) (recbole.data.dataloader.general_dataloader.FullSortEvalDataLoader property) (recbole.data.dataloader.general_dataloader.NegSampleEvalDataLoader property) (recbole.data.dataloader.general_dataloader.TrainDataLoader property) (recbole.data.dataloader.knowledge_dataloader.KGDataLoader property) (recbole.data.dataloader.knowledge_dataloader.KnowledgeBasedDataLoader property) (recbole.data.dataloader.user_dataloader.UserDataLoader property) Precision (class in recbole.evaluator.metrics) predict() (recbole.model.abstract_recommender.AbstractRecommender method) (recbole.model.context_aware_recommender.afm.AFM method) (recbole.model.context_aware_recommender.autoint.AutoInt method) (recbole.model.context_aware_recommender.dcn.DCN method) (recbole.model.context_aware_recommender.deepfm.DeepFM method) (recbole.model.context_aware_recommender.dssm.DSSM method) (recbole.model.context_aware_recommender.ffm.FFM method) (recbole.model.context_aware_recommender.fm.FM method) (recbole.model.context_aware_recommender.fnn.FNN method) (recbole.model.context_aware_recommender.fwfm.FwFM method) (recbole.model.context_aware_recommender.lr.LR method) (recbole.model.context_aware_recommender.nfm.NFM method) (recbole.model.context_aware_recommender.pnn.PNN method) (recbole.model.context_aware_recommender.widedeep.WideDeep method) (recbole.model.context_aware_recommender.xdeepfm.xDeepFM method) (recbole.model.general_recommender.bpr.BPR method) (recbole.model.general_recommender.cdae.CDAE method) (recbole.model.general_recommender.convncf.ConvNCF method) (recbole.model.general_recommender.dgcf.DGCF method) (recbole.model.general_recommender.dmf.DMF method) (recbole.model.general_recommender.fism.FISM method) (recbole.model.general_recommender.gcmc.GCMC method) (recbole.model.general_recommender.itemknn.ItemKNN method) (recbole.model.general_recommender.lightgcn.LightGCN method) (recbole.model.general_recommender.line.LINE method) (recbole.model.general_recommender.macridvae.MacridVAE method) (recbole.model.general_recommender.multidae.MultiDAE method) (recbole.model.general_recommender.multivae.MultiVAE method) (recbole.model.general_recommender.nais.NAIS method) (recbole.model.general_recommender.ncl.NCL method) (recbole.model.general_recommender.neumf.NeuMF method) (recbole.model.general_recommender.ngcf.NGCF method) (recbole.model.general_recommender.pop.Pop method) (recbole.model.general_recommender.sgl.SGL method) (recbole.model.general_recommender.simplex.SimpleX method) (recbole.model.general_recommender.spectralcf.SpectralCF method) (recbole.model.knowledge_aware_recommender.cfkg.CFKG method) (recbole.model.knowledge_aware_recommender.cke.CKE method) (recbole.model.knowledge_aware_recommender.kgat.KGAT method) (recbole.model.knowledge_aware_recommender.kgcn.KGCN method) (recbole.model.knowledge_aware_recommender.kgnnls.KGNNLS method) (recbole.model.knowledge_aware_recommender.ktup.KTUP method) (recbole.model.knowledge_aware_recommender.mkr.MKR method) (recbole.model.knowledge_aware_recommender.ripplenet.RippleNet method) (recbole.model.sequential_recommender.bert4rec.BERT4Rec method) (recbole.model.sequential_recommender.caser.Caser method) (recbole.model.sequential_recommender.core.CORE method) (recbole.model.sequential_recommender.din.DIN method) (recbole.model.sequential_recommender.fdsa.FDSA method) (recbole.model.sequential_recommender.fossil.FOSSIL method) (recbole.model.sequential_recommender.fpmc.FPMC method) (recbole.model.sequential_recommender.gcsan.GCSAN method) (recbole.model.sequential_recommender.gru4rec.GRU4Rec method) (recbole.model.sequential_recommender.gru4recf.GRU4RecF method) (recbole.model.sequential_recommender.gru4reckg.GRU4RecKG method) (recbole.model.sequential_recommender.hgn.HGN method) (recbole.model.sequential_recommender.hrm.HRM method) (recbole.model.sequential_recommender.ksr.KSR method) (recbole.model.sequential_recommender.narm.NARM method) (recbole.model.sequential_recommender.nextitnet.NextItNet method) (recbole.model.sequential_recommender.npe.NPE method) (recbole.model.sequential_recommender.repeatnet.RepeatNet method) (recbole.model.sequential_recommender.s3rec.S3Rec method) (recbole.model.sequential_recommender.sasrec.SASRec method) (recbole.model.sequential_recommender.sasrecf.SASRecF method) (recbole.model.sequential_recommender.shan.SHAN method) (recbole.model.sequential_recommender.srgnn.SRGNN method) (recbole.model.sequential_recommender.stamp.STAMP method) (recbole.model.sequential_recommender.transrec.TransRec method)

pretrain() (recbole.model.sequential_recommender.s3rec.S3Rec method) (recbole.trainer.trainer.PretrainTrainer method) PretrainTrainer (class in recbole.trainer.trainer) ProtoNCE_loss() (recbole.model.general_recommender.ncl.NCL method)

R

RaCTTrainer (class in recbole.trainer.trainer) rand_sample() (recbole.model.general_recommender.sgl.SGL method) random_num() (recbole.model.general_recommender.line.LINE method) RANKING (recbole.utils.enum_type.EvaluatorType attribute) Recall (class in recbole.evaluator.metrics) recbole.config.configurator module recbole.data.dataloader.abstract_dataloader module recbole.data.dataloader.general_dataloader module recbole.data.dataloader.knowledge_dataloader module recbole.data.dataloader.user_dataloader module recbole.data.dataset.customized_dataset module recbole.data.dataset.dataset module recbole.data.dataset.kg_dataset module recbole.data.dataset.kg_seq_dataset module recbole.data.dataset.sequential_dataset module recbole.data.interaction module recbole.data.utils module recbole.evaluator.base_metric module recbole.evaluator.collector module recbole.evaluator.evaluator module recbole.evaluator.metrics module recbole.evaluator.register module recbole.evaluator.utils module recbole.model.abstract_recommender module recbole.model.context_aware_recommender.afm module recbole.model.context_aware_recommender.autoint module recbole.model.context_aware_recommender.dcn module recbole.model.context_aware_recommender.deepfm module recbole.model.context_aware_recommender.dssm module recbole.model.context_aware_recommender.ffm module recbole.model.context_aware_recommender.fm module recbole.model.context_aware_recommender.fnn module recbole.model.context_aware_recommender.fwfm module recbole.model.context_aware_recommender.lr module recbole.model.context_aware_recommender.nfm module recbole.model.context_aware_recommender.pnn module recbole.model.context_aware_recommender.widedeep module recbole.model.context_aware_recommender.xdeepfm module recbole.model.exlib_recommender.lightgbm module recbole.model.exlib_recommender.xgboost module recbole.model.general_recommender.bpr module recbole.model.general_recommender.cdae module recbole.model.general_recommender.convncf module recbole.model.general_recommender.dgcf module recbole.model.general_recommender.dmf module recbole.model.general_recommender.fism module recbole.model.general_recommender.gcmc module recbole.model.general_recommender.itemknn module recbole.model.general_recommender.lightgcn module recbole.model.general_recommender.line module recbole.model.general_recommender.macridvae module recbole.model.general_recommender.multidae module recbole.model.general_recommender.multivae module recbole.model.general_recommender.nais module recbole.model.general_recommender.ncl module recbole.model.general_recommender.neumf module recbole.model.general_recommender.ngcf module recbole.model.general_recommender.pop module recbole.model.general_recommender.sgl module recbole.model.general_recommender.simplex module recbole.model.general_recommender.spectralcf module recbole.model.init module recbole.model.knowledge_aware_recommender.cfkg module recbole.model.knowledge_aware_recommender.cke module

recbole.model.knowledge_aware_recommender.kgat module recbole.model.knowledge_aware_recommender.kgcn module recbole.model.knowledge_aware_recommender.kgnnls module recbole.model.knowledge_aware_recommender.ktup module recbole.model.knowledge_aware_recommender.mkr module recbole.model.knowledge_aware_recommender.ripplenet module recbole.model.layers module recbole.model.loss module recbole.model.sequential_recommender.bert4rec module recbole.model.sequential_recommender.caser module recbole.model.sequential_recommender.core module recbole.model.sequential_recommender.din module recbole.model.sequential_recommender.fdsa module recbole.model.sequential_recommender.fossil module recbole.model.sequential_recommender.fpmc module recbole.model.sequential_recommender.gcsan module recbole.model.sequential_recommender.gru4rec module recbole.model.sequential_recommender.gru4recf module recbole.model.sequential_recommender.gru4reckg module recbole.model.sequential_recommender.hgn module recbole.model.sequential_recommender.hrm module recbole.model.sequential_recommender.ksr module recbole.model.sequential_recommender.narm module recbole.model.sequential_recommender.nextitnet module recbole.model.sequential_recommender.npe module recbole.model.sequential_recommender.repeatnet module recbole.model.sequential_recommender.s3rec module recbole.model.sequential_recommender.sasrec module recbole.model.sequential_recommender.sasrecf module recbole.model.sequential_recommender.shan module recbole.model.sequential_recommender.srgnn module recbole.model.sequential_recommender.stamp module recbole.model.sequential_recommender.transrec module recbole.quick_start.quick_start module recbole.sampler.sampler module recbole.trainer.hyper_tuning module recbole.trainer.trainer module recbole.utils.case_study module recbole.utils.enum_type module recbole.utils.logger module recbole.utils.utils module reconstruct_pretrain_data() (recbole.model.sequential_recommender.s3rec.S3Rec method) reconstruct_test_data() (recbole.model.sequential_recommender.bert4rec.BERT4Rec method) reconstruct_train_data() (recbole.model.sequential_recommender.bert4rec.BERT4Rec method) RecVAETrainer (class in recbole.trainer.trainer) reg_loss() (recbole.model.context_aware_recommender.pnn.PNN method) (recbole.model.context_aware_recommender.xdeepfm.xDeepFM method) (recbole.model.general_recommender.convncf.ConvNCF method) (recbole.model.general_recommender.fism.FISM method) (recbole.model.general_recommender.macridvae.MacridVAE method) (recbole.model.general_recommender.nais.NAIS method) (recbole.model.sequential_recommender.fossil.FOSSIL method) (recbole.model.sequential_recommender.hgn.HGN method) (recbole.model.sequential_recommender.shan.SHAN method) reg_loss_conv_h() (recbole.model.sequential_recommender.caser.Caser method) reg_loss_rb() (recbole.model.sequential_recommender.nextitnet.NextItNet method) Register (class in recbole.evaluator.register) RegLoss (class in recbole.model.loss) relation_field (recbole.data.dataset.kg_dataset.KnowledgeBasedDataset attribute) relation_num (recbole.data.dataset.kg_dataset.KnowledgeBasedDataset property) relations (recbole.data.dataset.kg_dataset.KnowledgeBasedDataset property) RemoveColorFilter (class in recbole.utils.logger) reparameterize() (recbole.model.general_recommender.macridvae.MacridVAE method) (recbole.model.general_recommender.multivae.MultiVAE method) repeat() (recbole.data.interaction.Interaction method) repeat_explore_loss() (recbole.model.sequential_recommender.repeatnet.RepeatNet method) Repeat_Explore_Mechanism (class in recbole.model.sequential_recommender.repeatnet) repeat_interleave() (recbole.data.interaction.Interaction method) Repeat_Recommendation_Decoder (class in recbole.model.sequential_recommender.repeatnet) RepeatableSampler (class in recbole.sampler.sampler) RepeatNet (class in recbole.model.sequential_recommender.repeatnet) ResidualBlock_a (class in recbole.model.sequential_recommender.nextitnet) ResidualBlock_b (class in recbole.model.sequential_recommender.nextitnet) resume_checkpoint() (recbole.trainer.trainer.Trainer method) RippleNet (class in recbole.model.knowledge_aware_recommender.ripplenet) RMSE (class in recbole.evaluator.metrics) RS (recbole.utils.enum_type.KGDataLoaderState attribute) RSKG (recbole.utils.enum_type.KGDataLoaderState attribute) run() (recbole.trainer.hyper_tuning.HyperTuning method) run_kmeans() (recbole.model.general_recommender.ncl.NCL method) run_recbole() (in module recbole.quick_start.quick_start)

S

S3Rec (class in recbole.model.sequential_recommender.s3rec) S3RecTrainer (class in recbole.trainer.trainer) sample_by_entity_ids() (recbole.sampler.sampler.KGSampler method) sample_by_key_ids() (recbole.sampler.sampler.AbstractSampler method) sample_by_user_ids() (recbole.sampler.sampler.RepeatableSampler method) (recbole.sampler.sampler.Sampler method) sample_cor_samples() (in module recbole.model.general_recommender.dgcf) sample_neg_interaction() (recbole.model.knowledge_aware_recommender.kgnnls.KGNNLS method) sample_neg_sequence() (recbole.sampler.sampler.SeqSampler method) Sampler (class in recbole.sampler.sampler) sampler() (recbole.model.general_recommender.line.LINE method) sampling() (recbole.sampler.sampler.AbstractSampler method) SASRec (class in recbole.model.sequential_recommender.sasrec) SASRecF (class in recbole.model.sequential_recommender.sasrecf) save() (recbole.data.dataset.dataset.Dataset method) save_pretrained_model() (recbole.trainer.trainer.PretrainTrainer method) save_split_dataloaders() (in module recbole.data.utils) seq_fields (recbole.data.dataset.dataset.Dataset property) seq_sample (recbole.data.dataset.customized_dataset.DIENDataset attribute) SeqSampler (class in recbole.sampler.sampler) SequenceAttLayer (class in recbole.model.layers) SEQUENTIAL (recbole.utils.enum_type.ModelType attribute) SequentialDataset (class in recbole.data.dataset.sequential_dataset) SequentialRecommender (class in recbole.model.abstract_recommender) set() (recbole.evaluator.collector.DataStruct method) set_batch_size() (recbole.data.dataloader.abstract_dataloader.AbstractDataLoader method) set_color() (in module recbole.utils.logger) set_distribution() (recbole.sampler.sampler.AbstractSampler method) set_field_property() (recbole.data.dataset.dataset.Dataset method) set_mode() (recbole.data.dataloader.knowledge_dataloader.KnowledgeBasedDataLoader method)

set_phase() (recbole.sampler.sampler.RepeatableSampler method) (recbole.sampler.sampler.Sampler method) SGL (class in recbole.model.general_recommender.sgl) SHAN (class in recbole.model.sequential_recommender.shan) ShannonEntropy (class in recbole.evaluator.metrics) shuffle (recbole.data.dataloader.abstract_dataloader.AbstractDataLoader attribute) (recbole.data.dataloader.knowledge_dataloader.KGDataLoader attribute) (recbole.data.dataloader.user_dataloader.UserDataLoader attribute) shuffle() (recbole.data.dataset.dataset.Dataset method) (recbole.data.interaction.Interaction method) SimpleX (class in recbole.model.general_recommender.simplex) smaller (recbole.evaluator.base_metric.AbstractMetric attribute) (recbole.evaluator.metrics.AveragePopularity attribute) (recbole.evaluator.metrics.GiniIndex attribute) (recbole.evaluator.metrics.LogLoss attribute) (recbole.evaluator.metrics.MAE attribute) (recbole.evaluator.metrics.RMSE attribute) softmax() (recbole.model.general_recommender.nais.NAIS method) sort() (recbole.data.dataset.dataset.Dataset method) (recbole.data.interaction.Interaction method) SparseDropout (class in recbole.model.layers) sparsity (recbole.data.dataset.dataset.Dataset property) SpectralCF (class in recbole.model.general_recommender.spectralcf) split_by_ratio() (recbole.data.dataset.dataset.Dataset method) SRGNN (class in recbole.model.sequential_recommender.srgnn) ssl_layer_loss() (recbole.model.general_recommender.ncl.NCL method) st_gumbel_softmax() (recbole.model.knowledge_aware_recommender.ktup.KTUP method) STAMP (class in recbole.model.sequential_recommender.stamp) state (recbole.data.dataloader.knowledge_dataloader.KnowledgeBasedDataLoader attribute) step (recbole.data.dataloader.abstract_dataloader.AbstractDataLoader attribute) swish() (recbole.model.layers.FeedForward method)

T

tail_entities (recbole.data.dataset.kg_dataset.KnowledgeBasedDataset property) tail_entity_field (recbole.data.dataset.kg_dataset.KnowledgeBasedDataset attribute) TailPercentage (class in recbole.evaluator.metrics) time_field (recbole.data.dataset.dataset.Dataset attribute) to() (recbole.data.interaction.Interaction method) (recbole.model.exlib_recommender.lightgbm.lightgbm method) (recbole.model.exlib_recommender.xgboost.xgboost method) TOKEN (recbole.utils.enum_type.FeatureType attribute) token2id() (recbole.data.dataset.dataset.Dataset method) token_like_fields (recbole.data.dataset.dataset.Dataset property) TOKEN_SEQ (recbole.utils.enum_type.FeatureType attribute) topk_result() (recbole.evaluator.base_metric.TopkMetric method) (recbole.evaluator.metrics.AveragePopularity method) (recbole.evaluator.metrics.TailPercentage method) TopkMetric (class in recbole.evaluator.base_metric) TRADITIONAL (recbole.utils.enum_type.ModelType attribute) TraditionalTrainer (class in recbole.trainer.trainer) train() (recbole.model.general_recommender.sgl.SGL method) TrainDataLoader (class in recbole.data.dataloader.general_dataloader) Trainer (class in recbole.trainer.trainer) training (recbole.model.abstract_recommender.AbstractRecommender attribute) (recbole.model.abstract_recommender.ContextRecommender attribute) (recbole.model.abstract_recommender.GeneralRecommender attribute) (recbole.model.abstract_recommender.KnowledgeRecommender attribute) (recbole.model.abstract_recommender.SequentialRecommender attribute) (recbole.model.context_aware_recommender.afm.AFM attribute) (recbole.model.context_aware_recommender.autoint.AutoInt attribute) (recbole.model.context_aware_recommender.dcn.DCN attribute) (recbole.model.context_aware_recommender.deepfm.DeepFM attribute) (recbole.model.context_aware_recommender.dssm.DSSM attribute) (recbole.model.context_aware_recommender.ffm.FFM attribute) (recbole.model.context_aware_recommender.ffm.FieldAwareFactorizationMachine attribute) (recbole.model.context_aware_recommender.fm.FM attribute) (recbole.model.context_aware_recommender.fnn.FNN attribute) (recbole.model.context_aware_recommender.fwfm.FwFM attribute) (recbole.model.context_aware_recommender.lr.LR attribute) (recbole.model.context_aware_recommender.nfm.NFM attribute) (recbole.model.context_aware_recommender.pnn.InnerProductLayer attribute) (recbole.model.context_aware_recommender.pnn.OuterProductLayer attribute) (recbole.model.context_aware_recommender.pnn.PNN attribute) (recbole.model.context_aware_recommender.widedeep.WideDeep attribute) (recbole.model.context_aware_recommender.xdeepfm.xDeepFM attribute) (recbole.model.general_recommender.bpr.BPR attribute) (recbole.model.general_recommender.cdae.CDAE attribute) (recbole.model.general_recommender.convncf.ConvNCF attribute) (recbole.model.general_recommender.convncf.ConvNCFBPRLoss attribute) (recbole.model.general_recommender.dgcf.DGCF attribute) (recbole.model.general_recommender.dmf.DMF attribute) (recbole.model.general_recommender.fism.FISM attribute) (recbole.model.general_recommender.gcmc.BiDecoder attribute) (recbole.model.general_recommender.gcmc.GcEncoder attribute) (recbole.model.general_recommender.gcmc.GCMC attribute) (recbole.model.general_recommender.itemknn.ItemKNN attribute) (recbole.model.general_recommender.lightgcn.LightGCN attribute) (recbole.model.general_recommender.line.LINE attribute) (recbole.model.general_recommender.line.NegSamplingLoss attribute) (recbole.model.general_recommender.macridvae.MacridVAE attribute) (recbole.model.general_recommender.multidae.MultiDAE attribute) (recbole.model.general_recommender.multivae.MultiVAE attribute) (recbole.model.general_recommender.nais.NAIS attribute) (recbole.model.general_recommender.ncl.NCL attribute) (recbole.model.general_recommender.neumf.NeuMF attribute) (recbole.model.general_recommender.ngcf.NGCF attribute) (recbole.model.general_recommender.pop.Pop attribute) (recbole.model.general_recommender.sgl.SGL attribute) (recbole.model.general_recommender.simplex.SimpleX attribute) (recbole.model.general_recommender.spectralcf.SpectralCF attribute) (recbole.model.knowledge_aware_recommender.cfkg.CFKG attribute) (recbole.model.knowledge_aware_recommender.cfkg.InnerProductLoss attribute) (recbole.model.knowledge_aware_recommender.cke.CKE attribute) (recbole.model.knowledge_aware_recommender.kgat.Aggregator attribute) (recbole.model.knowledge_aware_recommender.kgat.KGAT attribute) (recbole.model.knowledge_aware_recommender.kgcn.KGCN attribute) (recbole.model.knowledge_aware_recommender.kgnnls.KGNNLS attribute) (recbole.model.knowledge_aware_recommender.ktup.KTUP attribute) (recbole.model.knowledge_aware_recommender.mkr.CrossCompressUnit attribute) (recbole.model.knowledge_aware_recommender.mkr.MKR attribute) (recbole.model.knowledge_aware_recommender.ripplenet.RippleNet attribute) (recbole.model.layers.AttLayer attribute) (recbole.model.layers.BaseFactorizationMachine attribute) (recbole.model.layers.BiGNNLayer attribute) (recbole.model.layers.CNNLayers attribute) (recbole.model.layers.ContextSeqEmbAbstractLayer attribute) (recbole.model.layers.ContextSeqEmbLayer attribute) (recbole.model.layers.Dice attribute) (recbole.model.layers.FeatureSeqEmbLayer attribute) (recbole.model.layers.FeedForward attribute) (recbole.model.layers.FMEmbedding attribute) (recbole.model.layers.FMFirstOrderLinear attribute) (recbole.model.layers.ItemToInterestAggregation attribute) (recbole.model.layers.LightMultiHeadAttention attribute) (recbole.model.layers.LightTransformerEncoder attribute) (recbole.model.layers.LightTransformerLayer attribute) (recbole.model.layers.MLPLayers attribute) (recbole.model.layers.MultiHeadAttention attribute) (recbole.model.layers.SequenceAttLayer attribute) (recbole.model.layers.SparseDropout attribute) (recbole.model.layers.TransformerEncoder attribute) (recbole.model.layers.TransformerLayer attribute) (recbole.model.layers.VanillaAttention attribute) (recbole.model.loss.BPRLoss attribute) (recbole.model.loss.EmbLoss attribute) (recbole.model.loss.EmbMarginLoss attribute) (recbole.model.loss.RegLoss attribute) (recbole.model.sequential_recommender.bert4rec.BERT4Rec attribute) (recbole.model.sequential_recommender.caser.Caser attribute) (recbole.model.sequential_recommender.core.CORE attribute) (recbole.model.sequential_recommender.core.TransNet attribute) (recbole.model.sequential_recommender.din.DIN attribute) (recbole.model.sequential_recommender.fdsa.FDSA attribute) (recbole.model.sequential_recommender.fossil.FOSSIL attribute) (recbole.model.sequential_recommender.fpmc.FPMC attribute) (recbole.model.sequential_recommender.gcsan.GCSAN attribute) (recbole.model.sequential_recommender.gcsan.GNN attribute) (recbole.model.sequential_recommender.gru4rec.GRU4Rec attribute) (recbole.model.sequential_recommender.gru4recf.GRU4RecF attribute) (recbole.model.sequential_recommender.gru4reckg.GRU4RecKG attribute) (recbole.model.sequential_recommender.hgn.HGN attribute) (recbole.model.sequential_recommender.hrm.HRM attribute) (recbole.model.sequential_recommender.ksr.KSR attribute) (recbole.model.sequential_recommender.narm.NARM attribute) (recbole.model.sequential_recommender.nextitnet.NextItNet attribute) (recbole.model.sequential_recommender.nextitnet.ResidualBlock_a attribute) (recbole.model.sequential_recommender.nextitnet.ResidualBlock_b attribute) (recbole.model.sequential_recommender.npe.NPE attribute) (recbole.model.sequential_recommender.repeatnet.Explore_Recommendation_Decoder attribute) (recbole.model.sequential_recommender.repeatnet.Repeat_Explore_Mechanism attribute) (recbole.model.sequential_recommender.repeatnet.Repeat_Recommendation_Decoder attribute) (recbole.model.sequential_recommender.repeatnet.RepeatNet attribute) (recbole.model.sequential_recommender.s3rec.S3Rec attribute) (recbole.model.sequential_recommender.sasrec.SASRec attribute) (recbole.model.sequential_recommender.sasrecf.SASRecF attribute) (recbole.model.sequential_recommender.shan.SHAN attribute) (recbole.model.sequential_recommender.srgnn.GNN attribute) (recbole.model.sequential_recommender.srgnn.SRGNN attribute) (recbole.model.sequential_recommender.stamp.STAMP attribute) (recbole.model.sequential_recommender.transrec.TransRec attribute)

TransformerEncoder (class in recbole.model.layers) TransformerLayer (class in recbole.model.layers) TransNet (class in recbole.model.sequential_recommender.core) transpose_for_scores() (recbole.model.layers.LightMultiHeadAttention method) (recbole.model.layers.MultiHeadAttention method) TransRec (class in recbole.model.sequential_recommender.transrec) trial() (recbole.trainer.hyper_tuning.HyperTuning method) trunc() (in module recbole.evaluator.utils) type (recbole.model.abstract_recommender.ContextRecommender attribute) (recbole.model.abstract_recommender.GeneralRecommender attribute) (recbole.model.abstract_recommender.KnowledgeRecommender attribute) (recbole.model.abstract_recommender.SequentialRecommender attribute) (recbole.model.exlib_recommender.lightgbm.lightgbm attribute) (recbole.model.exlib_recommender.xgboost.xgboost attribute) (recbole.model.general_recommender.itemknn.ItemKNN attribute) (recbole.model.general_recommender.pop.Pop attribute)

U

uid_field (recbole.data.dataset.dataset.Dataset attribute) update() (recbole.data.interaction.Interaction method) update_attentive_A() (recbole.model.knowledge_aware_recommender.kgat.KGAT method) update_config() (recbole.data.dataloader.abstract_dataloader.AbstractDataLoader method) (recbole.data.dataloader.general_dataloader.NegSampleEvalDataLoader method) (recbole.data.dataloader.general_dataloader.TrainDataLoader method) (recbole.data.dataloader.knowledge_dataloader.KnowledgeBasedDataLoader method) update_tensor() (recbole.evaluator.collector.DataStruct method) used_ids (recbole.sampler.sampler.AbstractSampler attribute) used_info() (recbole.evaluator.base_metric.LossMetric method) (recbole.evaluator.base_metric.TopkMetric method) (recbole.evaluator.metrics.AveragePopularity method) (recbole.evaluator.metrics.GiniIndex method) (recbole.evaluator.metrics.ItemCoverage method) (recbole.evaluator.metrics.ShannonEntropy method) (recbole.evaluator.metrics.TailPercentage method)

USER (recbole.utils.enum_type.FeatureSource attribute) user_counter (recbole.data.dataset.dataset.Dataset property) user_feat (recbole.data.dataset.dataset.Dataset attribute) user_forward() (recbole.model.general_recommender.fism.FISM method) (recbole.model.general_recommender.nais.NAIS method) USER_ID (recbole.utils.enum_type.FeatureSource attribute) user_num (recbole.data.dataset.dataset.Dataset property) UserDataLoader (class in recbole.data.dataloader.user_dataloader)

V

VALUE (recbole.utils.enum_type.EvaluatorType attribute)

VanillaAttention (class in recbole.model.layers)

W

WideDeep (class in recbole.model.context_aware_recommender.widedeep)

X

xavier_normal_initialization() (in module recbole.model.init) xavier_uniform_initialization() (in module recbole.model.init)

xDeepFM (class in recbole.model.context_aware_recommender.xdeepfm) xgboost (class in recbole.model.exlib_recommender.xgboost) xgboostTrainer (class in recbole.trainer.trainer)