recbole.model.sequential_recommender

• BERT4Rec
• BERT4Rec
  • BERT4Rec.calculate_loss()
  • BERT4Rec.forward()
  • BERT4Rec.full_sort_predict()
  • BERT4Rec.multi_hot_embed()
  • BERT4Rec.predict()
  • BERT4Rec.reconstruct_test_data()
  • BERT4Rec.training
• Caser
• Caser
  • Caser.calculate_loss()
  • Caser.forward()
  • Caser.full_sort_predict()
  • Caser.predict()
  • Caser.reg_loss_conv_h()
  • Caser.training
• CORE
• CORE
  • CORE.ave_net()
  • CORE.calculate_loss()
  • CORE.forward()
  • CORE.full_sort_predict()
  • CORE.predict()
  • CORE.training
• TransNet
  • TransNet.forward()
  • TransNet.get_attention_mask()
  • TransNet.training
• DIN
• DIN
  • DIN.calculate_loss()
  • DIN.forward()
  • DIN.input_type
  • DIN.predict()
  • DIN.training
• FDSA
• FDSA
  • FDSA.calculate_loss()
  • FDSA.forward()
  • FDSA.full_sort_predict()
  • FDSA.predict()
  • FDSA.training
• FOSSIL
• FOSSIL
  • FOSSIL.calculate_loss()
  • FOSSIL.forward()
  • FOSSIL.full_sort_predict()
  • FOSSIL.get_high_order_Markov()
  • FOSSIL.get_similarity()
  • FOSSIL.init_weights()
  • FOSSIL.inverse_seq_item_embedding()
  • FOSSIL.predict()
  • FOSSIL.reg_loss()
  • FOSSIL.training
• FPMC
• FPMC
  • FPMC.calculate_loss()
  • FPMC.forward()
  • FPMC.full_sort_predict()
  • FPMC.input_type
  • FPMC.predict()
  • FPMC.training
• GCSAN
• GCSAN
  • GCSAN.calculate_loss()
  • GCSAN.forward()
  • GCSAN.full_sort_predict()
  • GCSAN.predict()
  • GCSAN.training
• GNN
  • GNN.GNNCell()
  • GNN.forward()
  • GNN.training
• GRU4Rec
• GRU4Rec
  • GRU4Rec.calculate_loss()
  • GRU4Rec.forward()
  • GRU4Rec.full_sort_predict()
  • GRU4Rec.predict()
  • GRU4Rec.training
• GRU4RecF
• GRU4RecF
  • GRU4RecF.calculate_loss()
  • GRU4RecF.forward()
  • GRU4RecF.full_sort_predict()
  • GRU4RecF.predict()
  • GRU4RecF.training
• GRU4RecKG
• GRU4RecKG
  • GRU4RecKG.calculate_loss()
  • GRU4RecKG.forward()
  • GRU4RecKG.full_sort_predict()
  • GRU4RecKG.predict()
  • GRU4RecKG.training
• HGN
• HGN
  • HGN.calculate_loss()
  • HGN.feature_gating()
  • HGN.forward()
  • HGN.full_sort_predict()
  • HGN.instance_gating()
  • HGN.predict()
  • HGN.reg_loss()
  • HGN.training
• HRM
• HRM
  • HRM.calculate_loss()
  • HRM.forward()
  • HRM.full_sort_predict()
  • HRM.inverse_seq_item()
  • HRM.predict()
  • HRM.training
• KSR
• KSR
  • KSR.calculate_loss()
  • KSR.forward()
  • KSR.full_sort_predict()
  • KSR.memory_read()
  • KSR.memory_update()
  • KSR.predict()
  • KSR.training
• NARM
• NARM
  • NARM.calculate_loss()
  • NARM.forward()
  • NARM.full_sort_predict()
  • NARM.predict()
  • NARM.training
• NextItNet
• NextItNet
  • NextItNet.calculate_loss()
  • NextItNet.forward()
  • NextItNet.full_sort_predict()
  • NextItNet.predict()
  • NextItNet.reg_loss_rb()
  • NextItNet.training
• ResidualBlock_a
  • ResidualBlock_a.conv_pad()
  • ResidualBlock_a.forward()
  • ResidualBlock_a.training
• ResidualBlock_b
  • ResidualBlock_b.conv_pad()
  • ResidualBlock_b.forward()
  • ResidualBlock_b.training
• NPE
• NPE
  • NPE.calculate_loss()
  • NPE.forward()
  • NPE.full_sort_predict()
  • NPE.predict()
  • NPE.training
• RepeatNet
• Explore_Recommendation_Decoder
  • Explore_Recommendation_Decoder.forward()
  • Explore_Recommendation_Decoder.training
• RepeatNet
  • RepeatNet.calculate_loss()
  • RepeatNet.forward()
  • RepeatNet.full_sort_predict()
  • RepeatNet.input_type
  • RepeatNet.predict()
  • RepeatNet.repeat_explore_loss()
  • RepeatNet.training
• Repeat_Explore_Mechanism
  • Repeat_Explore_Mechanism.forward()
  • Repeat_Explore_Mechanism.training
• Repeat_Recommendation_Decoder
  • Repeat_Recommendation_Decoder.forward()
  • Repeat_Recommendation_Decoder.training
• S3Rec
• S3Rec
  • S3Rec.calculate_loss()
  • S3Rec.forward()
  • S3Rec.full_sort_predict()
  • S3Rec.predict()
  • S3Rec.pretrain()
  • S3Rec.reconstruct_pretrain_data()
  • S3Rec.training
• SASRec
• SASRec
  • SASRec.calculate_loss()
  • SASRec.forward()
  • SASRec.full_sort_predict()
  • SASRec.predict()
  • SASRec.training
• SASRecF
• SASRecF
  • SASRecF.calculate_loss()
  • SASRecF.forward()
  • SASRecF.full_sort_predict()
  • SASRecF.predict()
  • SASRecF.training
• SHAN
• SHAN
  • SHAN.calculate_loss()
  • SHAN.forward()
  • SHAN.full_sort_predict()
  • SHAN.init_weights()
  • SHAN.long_and_short_term_attention_based_pooling_layer()
  • SHAN.long_term_attention_based_pooling_layer()
  • SHAN.predict()
  • SHAN.reg_loss()
  • SHAN.training
• SRGNN
• GNN
  • GNN.GNNCell()
  • GNN.forward()
  • GNN.training
• SRGNN
  • SRGNN.calculate_loss()
  • SRGNN.forward()
  • SRGNN.full_sort_predict()
  • SRGNN.predict()
  • SRGNN.training
• STAMP
• STAMP
  • STAMP.calculate_loss()
  • STAMP.count_alpha()
  • STAMP.forward()
  • STAMP.full_sort_predict()
  • STAMP.predict()
  • STAMP.training
• TransRec
• TransRec
  • TransRec.calculate_loss()
  • TransRec.forward()
  • TransRec.full_sort_predict()
  • TransRec.gather_last_items()
  • TransRec.input_type
  • TransRec.predict()
  • TransRec.training
• FEARec
• FEABlock
  • FEABlock.forward()
  • FEABlock.training
• FEAEncoder
  • FEAEncoder.forward()
  • FEAEncoder.training
• FEARec
  • FEARec.alignment()
  • FEARec.calculate_loss()
  • FEARec.decompose()
  • FEARec.forward()
  • FEARec.full_sort_predict()
  • FEARec.get_attention_mask()
  • FEARec.get_bi_attention_mask()
  • FEARec.get_same_item_index()
  • FEARec.info_nce()
  • FEARec.mask_correlated_samples()
  • FEARec.predict()
  • FEARec.training
  • FEARec.truncated_normal_()
  • FEARec.uniformity()
• FeedForward
  • FeedForward.forward()
  • FeedForward.gelu()
  • FeedForward.get_hidden_act()
  • FeedForward.swish()
  • FeedForward.training
• HybridAttention
  • HybridAttention.forward()
  • HybridAttention.time_delay_agg_inference()
  • HybridAttention.time_delay_agg_training()
  • HybridAttention.training
  • HybridAttention.transpose_for_scores()
• GRU4Rec + Softmax-CPR
• GRU4RecCPR
  • GRU4RecCPR.calculate_loss()
  • GRU4RecCPR.calculate_loss_prob()
  • GRU4RecCPR.forward()
  • GRU4RecCPR.full_sort_predict()
  • GRU4RecCPR.get_facet_emb()
  • GRU4RecCPR.predict()
  • GRU4RecCPR.training
• gelu()
• SASRec + Softmax-CPR
• SASRecCPR
  • SASRecCPR.calculate_loss()
  • SASRecCPR.calculate_loss_prob()
  • SASRecCPR.forward()
  • SASRecCPR.full_sort_predict()
  • SASRecCPR.get_facet_emb()
  • SASRecCPR.predict()
  • SASRecCPR.training
• gelu()