Index

_

_batch_size (recbole.data.dataloader.abstract_dataloader.AbstractDataLoader attribute)

_dataset (recbole.data.dataloader.abstract_dataloader.AbstractDataLoader attribute)

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_noise() (in module recbole.model.general_recommender.admmslim) add_prefix() (recbole.data.interaction.Interaction method) ADMMSLIM (class in recbole.model.general_recommender.admmslim) 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) (class in recbole.model.knowledge_aware_recommender.kgin) (class in recbole.model.knowledge_aware_recommender.mcclk)

AGRUCell (class in recbole.model.sequential_recommender.dien) alignLoss() (in module recbole.model.knowledge_aware_recommender.ktup) alignment() (recbole.model.sequential_recommender.fearec.FEARec static method) 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) AUGRUCell (class in recbole.model.sequential_recommender.dien) AutoEncoder (class in recbole.model.general_recommender.ldiffrec) AutoEncoderMixin (class in recbole.model.abstract_recommender) AutoInt (class in recbole.model.context_aware_recommender.autoint) autoint_layer() (recbole.model.context_aware_recommender.autoint.AutoInt method) auxiliary_loss() (recbole.model.sequential_recommender.dien.InterestExtractorNetwork 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) (recbole.data.dataloader.abstract_dataloader.NegSampleDataLoader attribute) (recbole.data.dataloader.general_dataloader.FullSortEvalDataLoader attribute) (recbole.data.dataloader.general_dataloader.NegSampleEvalDataLoader attribute) (recbole.data.dataloader.general_dataloader.TrainDataLoader attribute) (recbole.data.dataloader.knowledge_dataloader.KGDataLoader attribute) (recbole.data.dataloader.user_dataloader.UserDataLoader attribute) BERT4Rec (class in recbole.model.sequential_recommender.bert4rec) betas_for_alpha_bar() (in module recbole.model.general_recommender.diffrec) betas_from_linear_variance() (in module recbole.model.general_recommender.diffrec)

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_adj() (recbole.model.knowledge_aware_recommender.mcclk.GraphConv method) build_cross() (recbole.model.context_aware_recommender.afm.AFM method) build_histroy_items() (recbole.model.abstract_recommender.AutoEncoderMixin method) (recbole.model.general_recommender.diffrec.DiffRec 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_ac_loss() (recbole.model.general_recommender.ract.RaCT method) calculate_actor_loss() (recbole.model.general_recommender.ract.RaCT method) calculate_cor_loss() (recbole.model.knowledge_aware_recommender.kgin.GraphConv method) calculate_critic_loss() (recbole.model.general_recommender.ract.RaCT method) calculate_for_diffusion() (recbole.model.general_recommender.diffrec.DiffRec 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.dcnv2.DCNV2 method) (recbole.model.context_aware_recommender.deepfm.DeepFM method) (recbole.model.context_aware_recommender.dssm.DSSM method) (recbole.model.context_aware_recommender.eulernet.EulerNet method) (recbole.model.context_aware_recommender.ffm.FFM method) (recbole.model.context_aware_recommender.fignn.FiGNN 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.kd_dagfm.KD_DAGFM 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.admmslim.ADMMSLIM 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.diffrec.DiffRec method) (recbole.model.general_recommender.dmf.DMF method) (recbole.model.general_recommender.ease.EASE method) (recbole.model.general_recommender.enmf.ENMF 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.ldiffrec.LDiffRec 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.nceplrec.NCEPLRec 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.nncf.NNCF method) (recbole.model.general_recommender.pop.Pop method) (recbole.model.general_recommender.ract.RaCT method) (recbole.model.general_recommender.random.Random method) (recbole.model.general_recommender.recvae.RecVAE method) (recbole.model.general_recommender.sgl.SGL method) (recbole.model.general_recommender.simplex.SimpleX method) (recbole.model.general_recommender.slimelastic.SLIMElastic 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.kgin.KGIN method) (recbole.model.knowledge_aware_recommender.kgnnls.KGNNLS method) (recbole.model.knowledge_aware_recommender.ktup.KTUP method) (recbole.model.knowledge_aware_recommender.mcclk.MCCLK 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.dien.DIEN method) (recbole.model.sequential_recommender.din.DIN method) (recbole.model.sequential_recommender.fdsa.FDSA method) (recbole.model.sequential_recommender.fearec.FEARec 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.lightsans.LightSANs 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.sine.SINE 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_ndcg() (recbole.model.general_recommender.ract.RaCT method) calculate_reg_loss() (recbole.model.context_aware_recommender.xdeepfm.xDeepFM method) (recbole.model.sequential_recommender.sine.SINE method) calculate_rs_loss() (recbole.model.knowledge_aware_recommender.mkr.MKR method) calculate_sim_hrt() (recbole.model.knowledge_aware_recommender.mcclk.Aggregator 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) CIN (class in recbole.model.context_aware_recommender.kd_dagfm) CINComp (class in recbole.model.context_aware_recommender.kd_dagfm) 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) collate_fn() (recbole.data.dataloader.abstract_dataloader.AbstractDataLoader method) (recbole.data.dataloader.general_dataloader.FullSortEvalDataLoader method) (recbole.data.dataloader.general_dataloader.NegSampleEvalDataLoader method) (recbole.data.dataloader.general_dataloader.TrainDataLoader method) (recbole.data.dataloader.knowledge_dataloader.KGDataLoader method) (recbole.data.dataloader.user_dataloader.UserDataLoader method) Collector (class in recbole.evaluator.collector) columns (recbole.data.interaction.Interaction property) compatibility_settings() (recbole.config.configurator.Config method) CompositePrior (class in recbole.model.general_recommender.recvae) compressed_interaction_network() (recbole.model.context_aware_recommender.xdeepfm.xDeepFM method) compute_loss() (in module recbole.model.general_recommender.ldiffrec) 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) construct_critic_input() (recbole.model.general_recommender.ract.RaCT method) construct_critic_layers() (recbole.model.general_recommender.ract.RaCT 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) critic_forward() (recbole.model.general_recommender.ract.RaCT method) cross_network() (recbole.model.context_aware_recommender.dcn.DCN method) (recbole.model.context_aware_recommender.dcnv2.DCNV2 method) cross_network_mix() (recbole.model.context_aware_recommender.dcnv2.DCNV2 method) CrossCompressUnit (class in recbole.model.knowledge_aware_recommender.mkr) CrossNet (class in recbole.model.context_aware_recommender.kd_dagfm) csr2tensor() (recbole.model.general_recommender.sgl.SGL method) cutoff() (in module recbole.evaluator.utils)

D

DAGFM (class in recbole.model.context_aware_recommender.kd_dagfm) 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) (recbole.data.dataloader.abstract_dataloader.NegSampleDataLoader attribute) (recbole.data.dataloader.general_dataloader.FullSortEvalDataLoader attribute) (recbole.data.dataloader.general_dataloader.NegSampleEvalDataLoader attribute) (recbole.data.dataloader.general_dataloader.TrainDataLoader attribute) (recbole.data.dataloader.knowledge_dataloader.KGDataLoader attribute) (recbole.data.dataloader.user_dataloader.UserDataLoader 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) DCNV2 (class in recbole.model.context_aware_recommender.dcnv2) DECISIONTREE (recbole.utils.enum_type.ModelType attribute) DecisionTreeTrainer (class in recbole.trainer.trainer) Decode() (recbole.model.general_recommender.ldiffrec.AutoEncoder method) decompose() (recbole.model.sequential_recommender.fearec.FEARec method)

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) DIEN (class in recbole.model.sequential_recommender.dien) DIENDataset (class in recbole.data.dataset.customized_dataset) DiffRec (class in recbole.model.general_recommender.diffrec) DIN (class in recbole.model.sequential_recommender.din) DMF (class in recbole.model.general_recommender.dmf) DNN (class in recbole.model.general_recommender.diffrec) double_tower_embed_input_fields() (recbole.model.abstract_recommender.ContextRecommender method) drop() (recbole.data.interaction.Interaction method) drop_last (recbole.data.dataloader.abstract_dataloader.AbstractDataLoader attribute) (recbole.data.dataloader.abstract_dataloader.NegSampleDataLoader attribute) (recbole.data.dataloader.general_dataloader.FullSortEvalDataLoader attribute) (recbole.data.dataloader.general_dataloader.NegSampleEvalDataLoader attribute) (recbole.data.dataloader.general_dataloader.TrainDataLoader attribute) (recbole.data.dataloader.knowledge_dataloader.KGDataLoader attribute) (recbole.data.dataloader.user_dataloader.UserDataLoader attribute) DSSM (class in recbole.model.context_aware_recommender.dssm) dump_parameters() (recbole.model.general_recommender.neumf.NeuMF method) DynamicRNN (class in recbole.model.sequential_recommender.dien)

E

e_step() (recbole.model.general_recommender.ncl.NCL method) early_stopping() (in module recbole.utils.utils) EASE (class in recbole.model.general_recommender.ease) edge_sampling() (recbole.model.knowledge_aware_recommender.kgin.GraphConv method) (recbole.model.knowledge_aware_recommender.mcclk.GraphConv method) embed_float_fields() (recbole.model.abstract_recommender.ContextRecommender method) (recbole.model.layers.ContextSeqEmbAbstractLayer method) (recbole.model.layers.FMFirstOrderLinear method) embed_float_seq_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) embedding_layer() (recbole.model.sequential_recommender.lightsans.LightSANs method) EmbLoss (class in recbole.model.loss) EmbMarginLoss (class in recbole.model.loss) Encode() (recbole.model.general_recommender.ldiffrec.AutoEncoder method)

Encoder (class in recbole.model.general_recommender.recvae) ENMF (class in recbole.model.general_recommender.enmf) 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) EPSILON (recbole.model.general_recommender.diffrec.ModelMeanType attribute) EulerInteractionLayer (class in recbole.model.context_aware_recommender.eulernet) EulerNet (class in recbole.model.context_aware_recommender.eulernet) 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) FEABlock (class in recbole.model.sequential_recommender.fearec) FEAEncoder (class in recbole.model.sequential_recommender.fearec) FEARec (class in recbole.model.sequential_recommender.fearec) feat_name_list (recbole.data.dataset.dataset.Dataset attribute) feature_gating() (recbole.model.sequential_recommender.hgn.HGN method) FeatureInteraction() (recbole.model.context_aware_recommender.kd_dagfm.CIN method) (recbole.model.context_aware_recommender.kd_dagfm.CrossNet method) (recbole.model.context_aware_recommender.kd_dagfm.DAGFM method) (recbole.model.context_aware_recommender.kd_dagfm.KD_DAGFM 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) (class in recbole.model.sequential_recommender.fearec) 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) FiGNN (class in recbole.model.context_aware_recommender.fignn) fignn_layer() (recbole.model.context_aware_recommender.fignn.FiGNN method) filter() (recbole.utils.logger.RemoveColorFilter method) final_output() (recbole.model.sequential_recommender.dien.InterestEvolvingLayer 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) FLEmbedding (class in recbole.model.layers) 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.dcnv2.DCNV2 method) (recbole.model.context_aware_recommender.deepfm.DeepFM method) (recbole.model.context_aware_recommender.dssm.DSSM method) (recbole.model.context_aware_recommender.eulernet.EulerInteractionLayer method) (recbole.model.context_aware_recommender.eulernet.EulerNet method) (recbole.model.context_aware_recommender.ffm.FFM method) (recbole.model.context_aware_recommender.ffm.FieldAwareFactorizationMachine method) (recbole.model.context_aware_recommender.fignn.FiGNN method) (recbole.model.context_aware_recommender.fignn.GraphLayer 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.kd_dagfm.CIN method) (recbole.model.context_aware_recommender.kd_dagfm.CINComp method) (recbole.model.context_aware_recommender.kd_dagfm.CrossNet method) (recbole.model.context_aware_recommender.kd_dagfm.KD_DAGFM 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.admmslim.ADMMSLIM 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.diffrec.DNN method) (recbole.model.general_recommender.dmf.DMF method) (recbole.model.general_recommender.ease.EASE method) (recbole.model.general_recommender.enmf.ENMF 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.nceplrec.NCEPLRec 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.nncf.NNCF method) (recbole.model.general_recommender.pop.Pop method) (recbole.model.general_recommender.ract.RaCT method) (recbole.model.general_recommender.random.Random method) (recbole.model.general_recommender.recvae.CompositePrior method) (recbole.model.general_recommender.recvae.Encoder method) (recbole.model.general_recommender.recvae.RecVAE method) (recbole.model.general_recommender.sgl.SGL method) (recbole.model.general_recommender.simplex.SimpleX method) (recbole.model.general_recommender.slimelastic.SLIMElastic 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.kgin.Aggregator method) (recbole.model.knowledge_aware_recommender.kgin.GraphConv method) (recbole.model.knowledge_aware_recommender.kgin.KGIN method) (recbole.model.knowledge_aware_recommender.kgnnls.KGNNLS method) (recbole.model.knowledge_aware_recommender.ktup.KTUP method) (recbole.model.knowledge_aware_recommender.mcclk.Aggregator method) (recbole.model.knowledge_aware_recommender.mcclk.GraphConv method) (recbole.model.knowledge_aware_recommender.mcclk.MCCLK 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.FLEmbedding 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.dien.AGRUCell method) (recbole.model.sequential_recommender.dien.AUGRUCell method) (recbole.model.sequential_recommender.dien.DIEN method) (recbole.model.sequential_recommender.dien.DynamicRNN method) (recbole.model.sequential_recommender.dien.InterestEvolvingLayer method) (recbole.model.sequential_recommender.dien.InterestExtractorNetwork method) (recbole.model.sequential_recommender.din.DIN method) (recbole.model.sequential_recommender.fdsa.FDSA method) (recbole.model.sequential_recommender.fearec.FEABlock method) (recbole.model.sequential_recommender.fearec.FEAEncoder method) (recbole.model.sequential_recommender.fearec.FEARec method) (recbole.model.sequential_recommender.fearec.FeedForward method) (recbole.model.sequential_recommender.fearec.HybridAttention 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.lightsans.LightSANs 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.sine.SINE 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.admmslim.ADMMSLIM 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.diffrec.DiffRec method) (recbole.model.general_recommender.dmf.DMF method) (recbole.model.general_recommender.ease.EASE method) (recbole.model.general_recommender.enmf.ENMF 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.ldiffrec.LDiffRec 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.nceplrec.NCEPLRec 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.ract.RaCT method) (recbole.model.general_recommender.random.Random method) (recbole.model.general_recommender.recvae.RecVAE method) (recbole.model.general_recommender.sgl.SGL method) (recbole.model.general_recommender.simplex.SimpleX method) (recbole.model.general_recommender.slimelastic.SLIMElastic 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.kgin.KGIN method) (recbole.model.knowledge_aware_recommender.kgnnls.KGNNLS method) (recbole.model.knowledge_aware_recommender.mcclk.MCCLK 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.fearec.FEARec 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.lightsans.LightSANs 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.sine.SINE 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) (recbole.model.sequential_recommender.fearec.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) (recbole.model.sequential_recommender.fearec.FEARec method) get_betas() (recbole.model.general_recommender.diffrec.DiffRec method) get_bi_attention_mask() (recbole.model.sequential_recommender.fearec.FEARec method) get_community_member() (recbole.model.general_recommender.nncf.NNCF 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_edges() (recbole.model.knowledge_aware_recommender.kgin.KGIN method) (recbole.model.knowledge_aware_recommender.mcclk.MCCLK method) 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_environment() (in module recbole.utils.utils) 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_flops() (in module recbole.utils.utils) get_gini() (recbole.evaluator.metrics.GiniIndex method) get_gpu_usage() (in module recbole.utils.utils) get_hidden_act() (recbole.model.layers.FeedForward method) (recbole.model.sequential_recommender.fearec.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_neigh_info() (recbole.model.general_recommender.nncf.NNCF method) get_neigh_knn() (recbole.model.general_recommender.nncf.NNCF method) get_neigh_louvain() (recbole.model.general_recommender.nncf.NNCF method) get_neigh_random() (recbole.model.general_recommender.nncf.NNCF 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_norm_inter_matrix() (recbole.model.knowledge_aware_recommender.kgin.KGIN method) (recbole.model.knowledge_aware_recommender.mcclk.MCCLK method) get_pop() (recbole.evaluator.metrics.AveragePopularity method) get_preload_weight() (recbole.data.dataset.dataset.Dataset method) get_rating_matrix() (recbole.model.abstract_recommender.AutoEncoderMixin method) get_same_item_index() (recbole.model.sequential_recommender.fearec.FEARec 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_teacher_config() (recbole.model.context_aware_recommender.kd_dagfm.KD_DAGFM 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) global_level_loss_1() (recbole.model.knowledge_aware_recommender.mcclk.MCCLK method) global_level_loss_2() (recbole.model.knowledge_aware_recommender.mcclk.MCCLK method) 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) GraphConv (class in recbole.model.knowledge_aware_recommender.kgin) (class in recbole.model.knowledge_aware_recommender.mcclk) GraphLayer (class in recbole.model.context_aware_recommender.fignn) 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) HybridAttention (class in recbole.model.sequential_recommender.fearec) HyperTuning (class in recbole.trainer.hyper_tuning)

I

id2token() (recbole.data.dataset.dataset.Dataset method) iid_field (recbole.data.dataset.dataset.Dataset attribute) info_nce() (recbole.model.sequential_recommender.fearec.FEARec method) 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.context_aware_recommender.fignn.FiGNN attribute) (recbole.model.exlib_recommender.lightgbm.LightGBM attribute) (recbole.model.exlib_recommender.xgboost.XGBoost attribute) (recbole.model.general_recommender.admmslim.ADMMSLIM 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.diffrec.DiffRec attribute) (recbole.model.general_recommender.dmf.DMF attribute) (recbole.model.general_recommender.ease.EASE attribute) (recbole.model.general_recommender.enmf.ENMF 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.nceplrec.NCEPLRec 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.nncf.NNCF attribute) (recbole.model.general_recommender.pop.Pop attribute) (recbole.model.general_recommender.ract.RaCT attribute) (recbole.model.general_recommender.random.Random attribute) (recbole.model.general_recommender.recvae.RecVAE attribute) (recbole.model.general_recommender.sgl.SGL attribute) (recbole.model.general_recommender.simplex.SimpleX attribute) (recbole.model.general_recommender.slimelastic.SLIMElastic 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.kgin.KGIN attribute) (recbole.model.knowledge_aware_recommender.kgnnls.KGNNLS attribute) (recbole.model.knowledge_aware_recommender.ktup.KTUP attribute) (recbole.model.knowledge_aware_recommender.mcclk.MCCLK attribute) (recbole.model.knowledge_aware_recommender.mkr.MKR attribute) (recbole.model.knowledge_aware_recommender.ripplenet.RippleNet attribute) (recbole.model.sequential_recommender.dien.DIEN 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.sine.SINE 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) InterestEvolvingLayer (class in recbole.model.sequential_recommender.dien) InterestExtractorNetwork (class in recbole.model.sequential_recommender.dien) inverse_seq_item() (recbole.model.sequential_recommender.hrm.HRM 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

KD_DAGFM (class in recbole.model.context_aware_recommender.kd_dagfm) 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) KGIN (class in recbole.model.knowledge_aware_recommender.kgin)

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) knowledge_shuffle() (recbole.data.dataloader.knowledge_dataloader.KnowledgeBasedDataLoader method) 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) LDiffRec (class in recbole.model.general_recommender.ldiffrec) leave_one_out() (recbole.data.dataset.dataset.Dataset method) light_gcn() (recbole.model.knowledge_aware_recommender.mcclk.MCCLK 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) LightSANs (class in recbole.model.sequential_recommender.lightsans) LightTransformerEncoder (class in recbole.model.layers) LightTransformerLayer (class in recbole.model.layers) LINE (class in recbole.model.general_recommender.line) list_to_latex() (in module recbole.utils.utils) 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) local_level_loss() (recbole.model.knowledge_aware_recommender.mcclk.MCCLK method) log_norm_pdf() (in module recbole.model.general_recommender.recvae) 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_correlated_samples() (recbole.model.sequential_recommender.fearec.FEARec method) mask_softmax() (recbole.model.general_recommender.nais.NAIS method) max_item_list_len (recbole.data.dataset.sequential_dataset.SequentialDataset attribute) Max_ner() (recbole.model.general_recommender.nncf.NNCF method) MCCLK (class in recbole.model.knowledge_aware_recommender.mcclk) mean_flat() (in module recbole.model.general_recommender.diffrec) 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) (recbole.model.general_recommender.ract.RaCT method) MLPLayers (class in recbole.model.layers) model_collect() (recbole.evaluator.collector.Collector method) ModelMeanType (class in recbole.model.general_recommender.diffrec) 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.dcnv2 recbole.model.context_aware_recommender.deepfm recbole.model.context_aware_recommender.dssm recbole.model.context_aware_recommender.eulernet recbole.model.context_aware_recommender.ffm recbole.model.context_aware_recommender.fignn recbole.model.context_aware_recommender.fm recbole.model.context_aware_recommender.fnn recbole.model.context_aware_recommender.fwfm recbole.model.context_aware_recommender.kd_dagfm 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.admmslim recbole.model.general_recommender.bpr recbole.model.general_recommender.cdae recbole.model.general_recommender.convncf recbole.model.general_recommender.dgcf recbole.model.general_recommender.diffrec recbole.model.general_recommender.dmf recbole.model.general_recommender.ease recbole.model.general_recommender.enmf recbole.model.general_recommender.fism recbole.model.general_recommender.gcmc recbole.model.general_recommender.itemknn recbole.model.general_recommender.ldiffrec 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.nceplrec recbole.model.general_recommender.ncl recbole.model.general_recommender.neumf recbole.model.general_recommender.ngcf recbole.model.general_recommender.nncf recbole.model.general_recommender.pop recbole.model.general_recommender.ract recbole.model.general_recommender.random recbole.model.general_recommender.recvae recbole.model.general_recommender.sgl recbole.model.general_recommender.simplex recbole.model.general_recommender.slimelastic 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.kgin recbole.model.knowledge_aware_recommender.kgnnls recbole.model.knowledge_aware_recommender.ktup recbole.model.knowledge_aware_recommender.mcclk 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.dien recbole.model.sequential_recommender.din recbole.model.sequential_recommender.fdsa recbole.model.sequential_recommender.fearec 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.lightsans 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.sine 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) NCEPLRec (class in recbole.model.general_recommender.nceplrec) 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) NNCF (class in recbole.model.general_recommender.nncf) non_seq_fields (recbole.data.dataset.dataset.Dataset property) normal_kl() (in module recbole.model.general_recommender.diffrec) NPE (class in recbole.model.sequential_recommender.npe) num() (recbole.data.dataset.dataset.Dataset method) num_workers (recbole.data.dataloader.abstract_dataloader.AbstractDataLoader attribute) (recbole.data.dataloader.abstract_dataloader.NegSampleDataLoader attribute) (recbole.data.dataloader.general_dataloader.FullSortEvalDataLoader attribute) (recbole.data.dataloader.general_dataloader.NegSampleEvalDataLoader attribute) (recbole.data.dataloader.general_dataloader.TrainDataLoader attribute) (recbole.data.dataloader.knowledge_dataloader.KGDataLoader attribute) (recbole.data.dataloader.user_dataloader.UserDataLoader attribute) 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

p_mean_variance() (recbole.model.general_recommender.diffrec.DiffRec method) p_sample() (recbole.model.general_recommender.diffrec.DiffRec method) 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) pin_memory (recbole.data.dataloader.abstract_dataloader.AbstractDataLoader attribute) (recbole.data.dataloader.abstract_dataloader.NegSampleDataLoader attribute) (recbole.data.dataloader.general_dataloader.FullSortEvalDataLoader attribute) (recbole.data.dataloader.general_dataloader.NegSampleEvalDataLoader attribute) (recbole.data.dataloader.general_dataloader.TrainDataLoader attribute) (recbole.data.dataloader.knowledge_dataloader.KGDataLoader attribute) (recbole.data.dataloader.user_dataloader.UserDataLoader attribute) pin_memory_device (recbole.data.dataloader.abstract_dataloader.AbstractDataLoader attribute) (recbole.data.dataloader.abstract_dataloader.NegSampleDataLoader attribute) (recbole.data.dataloader.general_dataloader.FullSortEvalDataLoader attribute) (recbole.data.dataloader.general_dataloader.NegSampleEvalDataLoader attribute) (recbole.data.dataloader.general_dataloader.TrainDataLoader attribute) (recbole.data.dataloader.knowledge_dataloader.KGDataLoader attribute) (recbole.data.dataloader.user_dataloader.UserDataLoader attribute) plot_hyper() (recbole.trainer.hyper_tuning.HyperTuning method) 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) 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.dcnv2.DCNV2 method) (recbole.model.context_aware_recommender.deepfm.DeepFM method) (recbole.model.context_aware_recommender.dssm.DSSM method) (recbole.model.context_aware_recommender.eulernet.EulerNet method) (recbole.model.context_aware_recommender.ffm.FFM method) (recbole.model.context_aware_recommender.fignn.FiGNN 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.kd_dagfm.KD_DAGFM 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.admmslim.ADMMSLIM 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.diffrec.DiffRec method) (recbole.model.general_recommender.dmf.DMF method) (recbole.model.general_recommender.ease.EASE method) (recbole.model.general_recommender.enmf.ENMF 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.ldiffrec.LDiffRec 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.nceplrec.NCEPLRec 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.nncf.NNCF method) (recbole.model.general_recommender.pop.Pop method) (recbole.model.general_recommender.ract.RaCT method) (recbole.model.general_recommender.random.Random method) (recbole.model.general_recommender.recvae.RecVAE method) (recbole.model.general_recommender.sgl.SGL method) (recbole.model.general_recommender.simplex.SimpleX method) (recbole.model.general_recommender.slimelastic.SLIMElastic 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.kgin.KGIN method) (recbole.model.knowledge_aware_recommender.kgnnls.KGNNLS method) (recbole.model.knowledge_aware_recommender.ktup.KTUP method) (recbole.model.knowledge_aware_recommender.mcclk.MCCLK 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.dien.DIEN method) (recbole.model.sequential_recommender.din.DIN method) (recbole.model.sequential_recommender.fdsa.FDSA method) (recbole.model.sequential_recommender.fearec.FEARec 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.lightsans.LightSANs 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.sine.SINE method) (recbole.model.sequential_recommender.srgnn.SRGNN method) (recbole.model.sequential_recommender.stamp.STAMP method) (recbole.model.sequential_recommender.transrec.TransRec method)

prefetch_factor (recbole.data.dataloader.abstract_dataloader.AbstractDataLoader attribute) (recbole.data.dataloader.abstract_dataloader.NegSampleDataLoader attribute) (recbole.data.dataloader.general_dataloader.FullSortEvalDataLoader attribute) (recbole.data.dataloader.general_dataloader.NegSampleEvalDataLoader attribute) (recbole.data.dataloader.general_dataloader.TrainDataLoader attribute) (recbole.data.dataloader.knowledge_dataloader.KGDataLoader attribute) (recbole.data.dataloader.user_dataloader.UserDataLoader attribute) prepare_vector_element() (recbole.model.general_recommender.nncf.NNCF 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)

Q

q_posterior_mean_variance() (recbole.model.general_recommender.diffrec.DiffRec method)

q_sample() (recbole.model.general_recommender.diffrec.DiffRec method)

R

RaCT (class in recbole.model.general_recommender.ract) RaCTTrainer (class in recbole.trainer.trainer) rand_sample() (recbole.model.general_recommender.sgl.SGL method) Random (class in recbole.model.general_recommender.random) 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.dcnv2 module recbole.model.context_aware_recommender.deepfm module recbole.model.context_aware_recommender.dssm module recbole.model.context_aware_recommender.eulernet module recbole.model.context_aware_recommender.ffm module recbole.model.context_aware_recommender.fignn 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.kd_dagfm 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.admmslim 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.diffrec module recbole.model.general_recommender.dmf module recbole.model.general_recommender.ease module recbole.model.general_recommender.enmf module recbole.model.general_recommender.fism module recbole.model.general_recommender.gcmc module recbole.model.general_recommender.itemknn module recbole.model.general_recommender.ldiffrec 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.nceplrec module recbole.model.general_recommender.ncl module recbole.model.general_recommender.neumf module recbole.model.general_recommender.ngcf module recbole.model.general_recommender.nncf module recbole.model.general_recommender.pop module recbole.model.general_recommender.ract module recbole.model.general_recommender.random module recbole.model.general_recommender.recvae module recbole.model.general_recommender.sgl module recbole.model.general_recommender.simplex module recbole.model.general_recommender.slimelastic 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.kgin module recbole.model.knowledge_aware_recommender.kgnnls module recbole.model.knowledge_aware_recommender.ktup module recbole.model.knowledge_aware_recommender.mcclk 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.dien module recbole.model.sequential_recommender.din module recbole.model.sequential_recommender.fdsa module recbole.model.sequential_recommender.fearec 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.lightsans 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.sine 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) RecVAE (class in recbole.model.general_recommender.recvae) 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.enmf.ENMF 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) RegularLoss() (recbole.model.context_aware_recommender.eulernet.EulerNet method) 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) (recbole.model.general_recommender.ract.RaCT method) (recbole.model.general_recommender.recvae.RecVAE method) reparamterization() (recbole.model.general_recommender.ldiffrec.AutoEncoder 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) reweight_loss() (recbole.model.general_recommender.diffrec.DiffRec 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() (in module recbole.quick_start.quick_start) (recbole.trainer.hyper_tuning.HyperTuning method) run_kmeans() (recbole.model.general_recommender.ncl.NCL method) run_recbole() (in module recbole.quick_start.quick_start) run_recboles() (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) sample_timesteps() (recbole.model.general_recommender.diffrec.DiffRec method) Sampler (class in recbole.sampler.sampler) sampler (recbole.data.dataloader.abstract_dataloader.AbstractDataLoader attribute) (recbole.data.dataloader.abstract_dataloader.NegSampleDataLoader attribute) (recbole.data.dataloader.general_dataloader.FullSortEvalDataLoader attribute) (recbole.data.dataloader.general_dataloader.NegSampleEvalDataLoader attribute) (recbole.data.dataloader.general_dataloader.TrainDataLoader attribute) (recbole.data.dataloader.knowledge_dataloader.KGDataLoader attribute) (recbole.data.dataloader.user_dataloader.UserDataLoader attribute) 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)

set_reduce_hook() (recbole.trainer.trainer.AbstractTrainer 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) sim() (recbole.model.knowledge_aware_recommender.mcclk.MCCLK method) SimpleX (class in recbole.model.general_recommender.simplex) SINE (class in recbole.model.sequential_recommender.sine) SLIMElastic (class in recbole.model.general_recommender.slimelastic) 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) SNR() (recbole.model.general_recommender.diffrec.DiffRec method) soft_threshold() (in module recbole.model.general_recommender.admmslim) 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) START_X (recbole.model.general_recommender.diffrec.ModelMeanType attribute) state (recbole.data.dataloader.knowledge_dataloader.KnowledgeBasedDataLoader attribute) step (recbole.data.dataloader.abstract_dataloader.AbstractDataLoader attribute) swish() (in module recbole.model.general_recommender.recvae) (recbole.model.layers.FeedForward method) (recbole.model.sequential_recommender.fearec.FeedForward method) sync_grad_loss() (recbole.trainer.trainer.AbstractTrainer 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_delay_agg_inference() (recbole.model.sequential_recommender.fearec.HybridAttention method) time_delay_agg_training() (recbole.model.sequential_recommender.fearec.HybridAttention method) time_field (recbole.data.dataset.dataset.Dataset attribute) timeout (recbole.data.dataloader.abstract_dataloader.AbstractDataLoader attribute) (recbole.data.dataloader.abstract_dataloader.NegSampleDataLoader attribute) (recbole.data.dataloader.general_dataloader.FullSortEvalDataLoader attribute) (recbole.data.dataloader.general_dataloader.NegSampleEvalDataLoader attribute) (recbole.data.dataloader.general_dataloader.TrainDataLoader attribute) (recbole.data.dataloader.knowledge_dataloader.KGDataLoader attribute) (recbole.data.dataloader.user_dataloader.UserDataLoader attribute) timestep_embedding() (in module recbole.model.general_recommender.diffrec) 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.dcnv2.DCNV2 attribute) (recbole.model.context_aware_recommender.deepfm.DeepFM attribute) (recbole.model.context_aware_recommender.dssm.DSSM attribute) (recbole.model.context_aware_recommender.eulernet.EulerInteractionLayer attribute) (recbole.model.context_aware_recommender.eulernet.EulerNet attribute) (recbole.model.context_aware_recommender.ffm.FFM attribute) (recbole.model.context_aware_recommender.ffm.FieldAwareFactorizationMachine attribute) (recbole.model.context_aware_recommender.fignn.FiGNN attribute) (recbole.model.context_aware_recommender.fignn.GraphLayer 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.kd_dagfm.CIN attribute) (recbole.model.context_aware_recommender.kd_dagfm.CINComp attribute) (recbole.model.context_aware_recommender.kd_dagfm.CrossNet attribute) (recbole.model.context_aware_recommender.kd_dagfm.DAGFM attribute) (recbole.model.context_aware_recommender.kd_dagfm.KD_DAGFM 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.admmslim.ADMMSLIM 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.diffrec.DiffRec attribute) (recbole.model.general_recommender.diffrec.DNN attribute) (recbole.model.general_recommender.dmf.DMF attribute) (recbole.model.general_recommender.ease.EASE attribute) (recbole.model.general_recommender.enmf.ENMF 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.ldiffrec.AutoEncoder attribute) (recbole.model.general_recommender.ldiffrec.LDiffRec 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.nceplrec.NCEPLRec 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.nncf.NNCF attribute) (recbole.model.general_recommender.pop.Pop attribute) (recbole.model.general_recommender.ract.RaCT attribute) (recbole.model.general_recommender.random.Random attribute) (recbole.model.general_recommender.recvae.CompositePrior attribute) (recbole.model.general_recommender.recvae.Encoder attribute) (recbole.model.general_recommender.recvae.RecVAE attribute) (recbole.model.general_recommender.sgl.SGL attribute) (recbole.model.general_recommender.simplex.SimpleX attribute) (recbole.model.general_recommender.slimelastic.SLIMElastic 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.kgin.Aggregator attribute) (recbole.model.knowledge_aware_recommender.kgin.GraphConv attribute) (recbole.model.knowledge_aware_recommender.kgin.KGIN attribute) (recbole.model.knowledge_aware_recommender.kgnnls.KGNNLS attribute) (recbole.model.knowledge_aware_recommender.ktup.KTUP attribute) (recbole.model.knowledge_aware_recommender.mcclk.Aggregator attribute) (recbole.model.knowledge_aware_recommender.mcclk.GraphConv attribute) (recbole.model.knowledge_aware_recommender.mcclk.MCCLK 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.FLEmbedding 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.dien.AGRUCell attribute) (recbole.model.sequential_recommender.dien.AUGRUCell attribute) (recbole.model.sequential_recommender.dien.DIEN attribute) (recbole.model.sequential_recommender.dien.DynamicRNN attribute) (recbole.model.sequential_recommender.dien.InterestEvolvingLayer attribute) (recbole.model.sequential_recommender.dien.InterestExtractorNetwork attribute) (recbole.model.sequential_recommender.din.DIN attribute) (recbole.model.sequential_recommender.fdsa.FDSA attribute) (recbole.model.sequential_recommender.fearec.FEABlock attribute) (recbole.model.sequential_recommender.fearec.FEAEncoder attribute) (recbole.model.sequential_recommender.fearec.FEARec attribute) (recbole.model.sequential_recommender.fearec.FeedForward attribute) (recbole.model.sequential_recommender.fearec.HybridAttention 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.lightsans.LightSANs 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.sine.SINE 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) (recbole.model.sequential_recommender.fearec.HybridAttention method) TransRec (class in recbole.model.sequential_recommender.transrec) trial() (recbole.trainer.hyper_tuning.HyperTuning method) trunc() (in module recbole.evaluator.utils) truncated_normal_() (recbole.model.sequential_recommender.fearec.FEARec method) 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.admmslim.ADMMSLIM attribute) (recbole.model.general_recommender.ease.EASE attribute) (recbole.model.general_recommender.itemknn.ItemKNN attribute) (recbole.model.general_recommender.pop.Pop attribute) (recbole.model.general_recommender.random.Random attribute) (recbole.model.general_recommender.slimelastic.SLIMElastic attribute)

U

uid_field (recbole.data.dataset.dataset.Dataset attribute) uniformity() (recbole.model.sequential_recommender.fearec.FEARec static method) 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.FullSortEvalDataLoader method) (recbole.data.dataloader.general_dataloader.NegSampleEvalDataLoader method) (recbole.data.dataloader.general_dataloader.TrainDataLoader method) (recbole.data.dataloader.knowledge_dataloader.KnowledgeBasedDataLoader method) update_Lt_history() (recbole.model.general_recommender.diffrec.DiffRec method) update_prior() (recbole.model.general_recommender.recvae.RecVAE 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)

Z

zero_mean_columns() (in module recbole.model.general_recommender.admmslim)