Index _ | A | B | C | D | E | F | G | H | I | K | L | M | N | O | P | Q | R | S | T | U | V | W | Y _ __init__() (merlin.models.tf.AsTabular method) (merlin.models.tf.AverageEmbeddingsByWeightFeature method) (merlin.models.tf.AvgPrecisionAt method) (merlin.models.tf.BinaryClassificationTask method) (merlin.models.tf.BinaryOutput method) (merlin.models.tf.BroadcastToSequence method) (merlin.models.tf.CategoricalOutput method) (merlin.models.tf.CategoryEncoding method) (merlin.models.tf.CGCBlock method) (merlin.models.tf.ColumnBasedSampleWeight method) (merlin.models.tf.Cond method) (merlin.models.tf.Continuous method) (merlin.models.tf.ContinuousFeatures method) (merlin.models.tf.ContrastiveOutput method) (merlin.models.tf.DotProductInteraction method) (merlin.models.tf.DualEncoderBlock method) (merlin.models.tf.EmbeddingEncoder method) (merlin.models.tf.EmbeddingTable method) (merlin.models.tf.Encoder method) (merlin.models.tf.ExpandDims method) (merlin.models.tf.Filter method) (merlin.models.tf.FMPairwiseInteraction method) (merlin.models.tf.HashedCross method) (merlin.models.tf.InBatchSampler method) (merlin.models.tf.ItemRetrievalScorer method) (merlin.models.tf.ItemRetrievalTask method) (merlin.models.tf.ItemSampler method) (merlin.models.tf.L2Norm method) (merlin.models.tf.LazyAdam method) (merlin.models.tf.Loader method) (merlin.models.tf.losses.BPRLoss method) (merlin.models.tf.losses.BPRmaxLoss method) (merlin.models.tf.losses.CategoricalCrossEntropy method) (merlin.models.tf.losses.HingeLoss method) (merlin.models.tf.losses.LogisticLoss method) (merlin.models.tf.losses.SparseCategoricalCrossEntropy method) (merlin.models.tf.losses.TOP1Loss method) (merlin.models.tf.losses.TOP1maxLoss method) (merlin.models.tf.losses.TOP1v2Loss method) (merlin.models.tf.MapValues method) (merlin.models.tf.ModelOutput method) (merlin.models.tf.MRRAt method) (merlin.models.tf.MultiClassClassificationTask method) (merlin.models.tf.MultiOptimizer method) (merlin.models.tf.NDCGAt method) (merlin.models.tf.OptimizerBlocks method) (merlin.models.tf.ParallelBlock method) (merlin.models.tf.ParallelPredictionBlock method) (merlin.models.tf.PopularityBasedSampler method) (merlin.models.tf.PrecisionAt method) (merlin.models.tf.PredictionTask method) (merlin.models.tf.PrepareFeatures method) (merlin.models.tf.RecallAt method) (merlin.models.tf.RegressionOutput method) (merlin.models.tf.RegressionTask method) (merlin.models.tf.ReplaceMaskedEmbeddings method) (merlin.models.tf.ResidualBlock method) (merlin.models.tf.RetrievalModelV2 method) (merlin.models.tf.SequenceEmbeddingFeatures method) (merlin.models.tf.SequenceMaskLast method) (merlin.models.tf.SequenceMaskRandom method) (merlin.models.tf.SequencePredictLast method) (merlin.models.tf.SequencePredictNext method) (merlin.models.tf.SequencePredictRandom method) (merlin.models.tf.SequenceTargetAsInput method) (merlin.models.tf.SequentialBlock method) (merlin.models.tf.StochasticSwapNoise method) (merlin.models.tf.TabularBlock method) (merlin.models.tf.TensorInitializer method) (merlin.models.tf.ToDense method) (merlin.models.tf.ToOneHot method) (merlin.models.tf.TopKEncoder method) (merlin.models.tf.TopKMetricsAggregator method) (merlin.models.tf.ToSparse method) (merlin.models.tf.ToTarget method) (merlin.models.tf.TwoTowerBlock method) (merlin.models.utils.misc_utils.Timing method) (merlin.models.utils.registry.Registry method) (merlin.models.utils.registry.RegistryMixin method) A add() (merlin.models.tf.InBatchSampler method) (merlin.models.tf.ItemSampler method) (merlin.models.tf.MultiOptimizer method) (merlin.models.tf.PopularityBasedSampler method) add_branch() (merlin.models.tf.ParallelBlock method) add_task() (merlin.models.tf.ParallelPredictionBlock method) aggregation (merlin.models.tf.TabularBlock property) apply_gradients() (merlin.models.tf.MultiOptimizer method) apply_to_all() (merlin.models.tf.TabularBlock method) apply_to_branch() (merlin.models.tf.ParallelBlock method) AsTabular (class in merlin.models.tf) augment() (merlin.models.tf.StochasticSwapNoise method) AverageEmbeddingsByWeightFeature (class in merlin.models.tf) AvgPrecisionAt (class in merlin.models.tf) B batch_predict() (merlin.models.tf.Encoder method) (merlin.models.tf.TopKEncoder method) batch_size (merlin.models.tf.InBatchSampler property) BinaryClassificationTask (class in merlin.models.tf) BinaryOutput (class in merlin.models.tf) blocks (merlin.models.tf.OptimizerBlocks attribute) BPRLoss (class in merlin.models.tf.losses) BPRmaxLoss (class in merlin.models.tf.losses) BroadcastToSequence (class in merlin.models.tf) build() (merlin.models.tf.Cond method) (merlin.models.tf.ContrastiveOutput method) (merlin.models.tf.DotProductInteraction method) (merlin.models.tf.EmbeddingTable method) (merlin.models.tf.Encoder method) (merlin.models.tf.InBatchSampler method) (merlin.models.tf.ItemRetrievalScorer method) (merlin.models.tf.ModelOutput method) (merlin.models.tf.ParallelBlock method) (merlin.models.tf.PredictionTask method) (merlin.models.tf.ReplaceMaskedEmbeddings method) (merlin.models.tf.SequentialBlock method) (merlin.models.tf.TabularBlock method) build_task() (merlin.models.tf.PredictionTask method) C calculate_batch_size_from_input_shapes() (merlin.models.tf.TabularBlock static method) call() (merlin.models.tf.AsTabular method) (merlin.models.tf.AverageEmbeddingsByWeightFeature method) (merlin.models.tf.BinaryClassificationTask method) (merlin.models.tf.BroadcastToSequence method) (merlin.models.tf.CategoryEncoding method) (merlin.models.tf.CGCBlock method) (merlin.models.tf.ColumnBasedSampleWeight method) (merlin.models.tf.Cond method) (merlin.models.tf.ContinuousFeatures method) (merlin.models.tf.ContrastiveOutput method) (merlin.models.tf.DotProductInteraction method) (merlin.models.tf.EmbeddingTable method) (merlin.models.tf.Encoder method) (merlin.models.tf.ExpandDims method) (merlin.models.tf.Filter method) (merlin.models.tf.FMPairwiseInteraction method) (merlin.models.tf.HashedCross method) (merlin.models.tf.InBatchSampler method) (merlin.models.tf.ItemRetrievalScorer method) (merlin.models.tf.ItemRetrievalTask method) (merlin.models.tf.L2Norm method) (merlin.models.tf.MapValues method) (merlin.models.tf.ModelOutput method) (merlin.models.tf.MultiClassClassificationTask method) (merlin.models.tf.ParallelBlock method) (merlin.models.tf.ParallelPredictionBlock method) (merlin.models.tf.PopularityBasedSampler method) (merlin.models.tf.PrepareFeatures method) (merlin.models.tf.RegressionTask method) (merlin.models.tf.ReplaceMaskedEmbeddings method) (merlin.models.tf.SequencePredictLast method) (merlin.models.tf.SequencePredictNext method) (merlin.models.tf.SequencePredictRandom method) (merlin.models.tf.SequenceTargetAsInput method) (merlin.models.tf.SequentialBlock method) (merlin.models.tf.StochasticSwapNoise method) (merlin.models.tf.TabularBlock method) (merlin.models.tf.ToDense method) (merlin.models.tf.ToSparse method) (merlin.models.tf.ToTarget method) call_contrastive() (merlin.models.tf.ContrastiveOutput method) call_outputs() (merlin.models.tf.ItemRetrievalScorer method) (merlin.models.tf.SequentialBlock method) (merlin.models.tf.ToOneHot method) camelcase_to_snakecase() (in module merlin.models.utils.registry) candidate_embeddings() (merlin.models.tf.RetrievalModelV2 method) candidate_encoder (merlin.models.tf.RetrievalModelV2 property) categorical_cardinalities() (in module merlin.models.utils.schema_utils) categorical_domains() (in module merlin.models.utils.schema_utils) CategoricalCrossEntropy (class in merlin.models.tf.losses) CategoricalOutput (class in merlin.models.tf) CategoryEncoding (class in merlin.models.tf) CGCBlock (class in merlin.models.tf) check_feature() (merlin.models.tf.Filter method) child_name() (merlin.models.tf.PredictionTask method) class_registry() (merlin.models.utils.registry.Registry class method) ColumnBasedSampleWeight (class in merlin.models.tf) compile() (merlin.models.tf.TopKEncoder method) compute() (merlin.models.tf.losses.BPRLoss method) (merlin.models.tf.losses.BPRmaxLoss method) (merlin.models.tf.losses.HingeLoss method) (merlin.models.tf.losses.LogisticLoss method) (merlin.models.tf.losses.TOP1Loss method) (merlin.models.tf.losses.TOP1maxLoss method) (merlin.models.tf.losses.TOP1v2Loss method) compute_call_output_shape() (merlin.models.tf.CGCBlock method) (merlin.models.tf.ContinuousFeatures method) (merlin.models.tf.EmbeddingTable method) (merlin.models.tf.Filter method) (merlin.models.tf.ParallelBlock method) (merlin.models.tf.ParallelPredictionBlock method) (merlin.models.tf.PrepareFeatures method) (merlin.models.tf.SequenceEmbeddingFeatures method) (merlin.models.tf.TabularBlock method) compute_loss() (merlin.models.tf.SequentialBlock method) compute_mask() (merlin.models.tf.BroadcastToSequence method) (merlin.models.tf.SequenceEmbeddingFeatures method) (merlin.models.tf.SequenceMaskLast method) (merlin.models.tf.SequenceMaskRandom method) (merlin.models.tf.SequencePredictLast method) (merlin.models.tf.SequencePredictNext method) (merlin.models.tf.SequencePredictRandom method) compute_output_schema() (merlin.models.tf.ToTarget method) compute_output_shape() (merlin.models.tf.AsTabular method) (merlin.models.tf.AverageEmbeddingsByWeightFeature method) (merlin.models.tf.BinaryClassificationTask method) (merlin.models.tf.BroadcastToSequence method) (merlin.models.tf.CategoryEncoding method) (merlin.models.tf.ColumnBasedSampleWeight method) (merlin.models.tf.Cond method) (merlin.models.tf.DotProductInteraction method) (merlin.models.tf.EmbeddingTable method) (merlin.models.tf.Encoder method) (merlin.models.tf.ExpandDims method) (merlin.models.tf.FMPairwiseInteraction method) (merlin.models.tf.HashedCross method) (merlin.models.tf.L2Norm method) (merlin.models.tf.MapValues method) (merlin.models.tf.ModelOutput method) (merlin.models.tf.PredictionTask method) (merlin.models.tf.PrepareFeatures method) (merlin.models.tf.RegressionTask method) (merlin.models.tf.SequencePredictLast method) (merlin.models.tf.SequencePredictNext method) (merlin.models.tf.SequentialBlock method) (merlin.models.tf.StochasticSwapNoise method) (merlin.models.tf.TabularBlock method) (merlin.models.tf.ToOneHot method) (merlin.models.tf.ToTarget method) compute_output_signature() (merlin.models.tf.SequentialBlock method) Cond (class in merlin.models.tf) configure_for_test() (merlin.models.tf.SequenceMaskLast method) (merlin.models.tf.SequenceMaskRandom method) (merlin.models.tf.SequencePredictNext method) configure_for_train() (merlin.models.tf.SequenceMaskLast method) (merlin.models.tf.SequenceMaskRandom method) (merlin.models.tf.SequencePredictNext method) Continuous (class in merlin.models.tf) ContinuousEmbedding() (in module merlin.models.tf) ContinuousFeatures (class in merlin.models.tf) ContinuousProjection() (in module merlin.models.tf) ContrastiveOutput (class in merlin.models.tf) create_categorical_column() (in module merlin.models.utils.schema_utils) create_continuous_column() (in module merlin.models.utils.schema_utils) create_default_metrics() (merlin.models.tf.ModelOutput method) (merlin.models.tf.PredictionTask method) CrossBlock() (in module merlin.models.tf) D DCNModel() (in module merlin.models.tf) DeepFMModel() (in module merlin.models.tf) default_key() (merlin.models.utils.registry.Registry method) DEFAULT_LOSS (merlin.models.tf.BinaryClassificationTask attribute) (merlin.models.tf.ItemRetrievalTask attribute) (merlin.models.tf.MultiClassClassificationTask attribute) (merlin.models.tf.RegressionTask attribute) DEFAULT_METRICS (merlin.models.tf.BinaryClassificationTask attribute) (merlin.models.tf.ItemRetrievalTask attribute) (merlin.models.tf.MultiClassClassificationTask attribute) (merlin.models.tf.RegressionTask attribute) default_metrics() (merlin.models.tf.TopKMetricsAggregator class method) default_name() (in module merlin.models.utils.registry) default_object_name() (in module merlin.models.utils.registry) DenseResidualBlock() (in module merlin.models.tf) display_list_by_prefix() (in module merlin.models.utils.registry) DLRMBlock() (in module merlin.models.tf) DLRMModel() (in module merlin.models.tf) DotProductInteraction (class in merlin.models.tf) DualEncoderBlock (class in merlin.models.tf) E embedding_lookup() (merlin.models.tf.ContrastiveOutput method) EmbeddingEncoder (class in merlin.models.tf) Embeddings() (in module merlin.models.tf) EmbeddingTable (class in merlin.models.tf) encode() (merlin.models.tf.Encoder method) encode_candidates() (merlin.models.tf.TopKEncoder method) Encoder (class in merlin.models.tf) encoder (merlin.models.tf.RetrievalModelV2 property) ExpandDims (class in merlin.models.tf) F Filter (class in merlin.models.tf) filter_dict_by_schema() (in module merlin.models.utils.schema_utils) filter_features (merlin.models.tf.SequentialBlock property) filter_kwargs() (in module merlin.models.utils.misc_utils) first (merlin.models.tf.Encoder property) (merlin.models.tf.ParallelBlock property) (merlin.models.tf.SequentialBlock property) fit() (merlin.models.tf.Encoder method) (merlin.models.tf.TopKEncoder method) FMBlock() (in module merlin.models.tf) FMPairwiseInteraction (class in merlin.models.tf) from_candidate_dataset() (merlin.models.tf.TopKEncoder class method) from_config() (merlin.models.tf.BinaryClassificationTask class method) (merlin.models.tf.BroadcastToSequence class method) (merlin.models.tf.CGCBlock class method) (merlin.models.tf.Cond class method) (merlin.models.tf.ContrastiveOutput class method) (merlin.models.tf.DualEncoderBlock class method) (merlin.models.tf.EmbeddingTable class method) (merlin.models.tf.Encoder class method) (merlin.models.tf.ItemRetrievalScorer class method) (merlin.models.tf.ItemRetrievalTask class method) (merlin.models.tf.MapValues class method) (merlin.models.tf.ModelOutput class method) (merlin.models.tf.MultiOptimizer class method) (merlin.models.tf.OptimizerBlocks class method) (merlin.models.tf.ParallelBlock class method) (merlin.models.tf.ParallelPredictionBlock class method) (merlin.models.tf.PredictionTask class method) (merlin.models.tf.RegressionTask class method) (merlin.models.tf.RetrievalModelV2 class method) (merlin.models.tf.SequenceMaskLast class method) (merlin.models.tf.SequenceMaskRandom class method) (merlin.models.tf.SequenceTargetAsInput class method) (merlin.models.tf.SequentialBlock class method) (merlin.models.tf.TabularBlock class method) (merlin.models.tf.TopKMetricsAggregator class method) from_dataset() (merlin.models.tf.EmbeddingTable class method) (merlin.models.tf.TensorInitializer class method) from_features() (merlin.models.tf.ContinuousFeatures class method) (merlin.models.tf.TabularBlock class method) from_pretrained() (merlin.models.tf.EmbeddingTable class method) from_schema() (merlin.models.tf.MultiClassClassificationTask class method) (merlin.models.tf.ParallelPredictionBlock class method) (merlin.models.tf.TabularBlock class method) from_schema_convention() (merlin.models.tf.AverageEmbeddingsByWeightFeature static method) G get() (merlin.models.utils.registry.Registry method) get_config() (merlin.models.tf.AsTabular method) (merlin.models.tf.AverageEmbeddingsByWeightFeature method) (merlin.models.tf.BinaryClassificationTask method) (merlin.models.tf.BroadcastToSequence method) (merlin.models.tf.CategoricalOutput method) (merlin.models.tf.CategoryEncoding method) (merlin.models.tf.CGCBlock method) (merlin.models.tf.ColumnBasedSampleWeight method) (merlin.models.tf.Cond method) (merlin.models.tf.ContinuousFeatures method) (merlin.models.tf.ContrastiveOutput method) (merlin.models.tf.DotProductInteraction method) (merlin.models.tf.EmbeddingTable method) (merlin.models.tf.Encoder method) (merlin.models.tf.Filter method) (merlin.models.tf.HashedCross method) (merlin.models.tf.InBatchSampler method) (merlin.models.tf.ItemRetrievalScorer method) (merlin.models.tf.ItemRetrievalTask method) (merlin.models.tf.MapValues method) (merlin.models.tf.ModelOutput method) (merlin.models.tf.MultiOptimizer method) (merlin.models.tf.OptimizerBlocks method) (merlin.models.tf.ParallelBlock method) (merlin.models.tf.ParallelPredictionBlock method) (merlin.models.tf.PopularityBasedSampler method) (merlin.models.tf.PredictionTask method) (merlin.models.tf.PrepareFeatures method) (merlin.models.tf.RegressionTask method) (merlin.models.tf.RetrievalModelV2 method) (merlin.models.tf.SequenceEmbeddingFeatures method) (merlin.models.tf.SequenceMaskRandom method) (merlin.models.tf.SequentialBlock method) (merlin.models.tf.StochasticSwapNoise method) (merlin.models.tf.TabularBlock method) (merlin.models.tf.TensorInitializer method) (merlin.models.tf.TopKMetricsAggregator method) get_distribution_probs() (merlin.models.tf.PopularityBasedSampler method) get_embedding_size_from_cardinality() (in module merlin.models.utils.schema_utils) get_embedding_sizes_from_schema() (in module merlin.models.utils.schema_utils) get_filenames() (in module merlin.models.utils.misc_utils) get_label_feature_name() (in module merlin.models.utils.misc_utils) get_object_size() (in module merlin.models.utils.misc_utils) get_parquet_files_names() (in module merlin.models.utils.misc_utils) get_task_name() (merlin.models.tf.ModelOutput class method) get_tasks_from_schema() (merlin.models.tf.ParallelPredictionBlock class method) get_timestamp_feature_name() (in module merlin.models.utils.misc_utils) get_weights() (merlin.models.tf.LazyAdam method) H has_candidate_encoder (merlin.models.tf.RetrievalModelV2 property) has_candidate_weights (merlin.models.tf.ContrastiveOutput property) has_schema (merlin.models.tf.Encoder property) has_transforms (merlin.models.tf.Loader property) HashedCross (class in merlin.models.tf) HashedCrossAll() (in module merlin.models.tf) HingeLoss (class in merlin.models.tf.losses) I InBatchSampler (class in merlin.models.tf) index_candidates() (merlin.models.tf.TopKEncoder method) InputBlock() (in module merlin.models.tf) InputBlockV2() (in module merlin.models.tf) inputs (merlin.models.tf.SequentialBlock property) is_input (merlin.models.tf.TabularBlock property) is_tabular (merlin.models.tf.AsTabular property) (merlin.models.tf.SequentialBlock property) (merlin.models.tf.TabularBlock property) item_block() (merlin.models.tf.DualEncoderBlock method) ItemRetrievalScorer (class in merlin.models.tf) ItemRetrievalTask (class in merlin.models.tf) items() (merlin.models.utils.registry.Registry method) ItemSampler (class in merlin.models.tf) iterations (merlin.models.tf.MultiOptimizer property) K keys (merlin.models.tf.ContrastiveOutput property) keys() (merlin.models.utils.registry.Registry method) L L2Norm (class in merlin.models.tf) last (merlin.models.tf.Encoder property) (merlin.models.tf.SequentialBlock property) layers (merlin.models.tf.ParallelBlock property) LazyAdam (class in merlin.models.tf) Loader (class in merlin.models.tf) LogisticLoss (class in merlin.models.tf.losses) lookup_feature() (merlin.models.tf.SequenceEmbeddingFeatures method) losses (merlin.models.tf.SequentialBlock property) M MapValues (class in merlin.models.tf) MatrixFactorizationBlock() (in module merlin.models.tf) MatrixFactorizationModel() (in module merlin.models.tf) MatrixFactorizationModelV2() (in module merlin.models.tf) max_num_samples (merlin.models.tf.ItemSampler property) MLPBlock() (in module merlin.models.tf) MMOEBlock() (in module merlin.models.tf) ModelOutput (class in merlin.models.tf) MRRAt (class in merlin.models.tf) MultiClassClassificationTask (class in merlin.models.tf) MultiOptimizer (class in merlin.models.tf) N name (merlin.models.utils.registry.Registry property) NDCGAt (class in merlin.models.tf) non_trainable_weights (merlin.models.tf.SequentialBlock property) O on_set() (merlin.models.utils.registry.Registry method) optimizer (merlin.models.tf.OptimizerBlocks attribute) OptimizerBlocks (class in merlin.models.tf) optimizers (merlin.models.tf.MultiOptimizer property) output_schema (merlin.models.tf.Loader property) OutputBlock() (in module merlin.models.tf) outputs() (merlin.models.tf.ContrastiveOutput method) P parallel_dict (merlin.models.tf.ParallelBlock property) parallel_layers (merlin.models.tf.ParallelPredictionBlock attribute) (merlin.models.tf.ResidualBlock attribute) (merlin.models.tf.TwoTowerBlock attribute) parallel_values (merlin.models.tf.ParallelBlock property) ParallelBlock (class in merlin.models.tf) ParallelPredictionBlock (class in merlin.models.tf) parse() (merlin.models.utils.registry.Registry method) (merlin.models.utils.registry.RegistryMixin class method) parse_config() (merlin.models.tf.ParallelBlock class method) PLEBlock() (in module merlin.models.tf) pop_labels() (merlin.models.tf.ParallelPredictionBlock method) PopularityBasedSampler (class in merlin.models.tf) post (merlin.models.tf.TabularBlock property) post_call() (merlin.models.tf.TabularBlock method) pre (merlin.models.tf.TabularBlock property) pre_call() (merlin.models.tf.PredictionTask method) (merlin.models.tf.TabularBlock method) pre_eval_topk (merlin.models.tf.PredictionTask property) pre_loss() (merlin.models.tf.PredictionTask method) PrecisionAt (class in merlin.models.tf) PredictionTask (class in merlin.models.tf) PredictionTasks() (in module merlin.models.tf) PrepareFeatures (class in merlin.models.tf) Q query_block() (merlin.models.tf.DualEncoderBlock method) query_embeddings() (merlin.models.tf.RetrievalModelV2 method) query_encoder (merlin.models.tf.RetrievalModelV2 property) R RecallAt (class in merlin.models.tf) register() (merlin.models.utils.registry.Registry method) register_with_multiple_names() (merlin.models.utils.registry.Registry method) Registry (class in merlin.models.utils.registry) registry (merlin.models.utils.registry.RegistryMixin attribute) RegistryMixin (class in merlin.models.utils.registry) RegressionOutput (class in merlin.models.tf) RegressionTask (class in merlin.models.tf) regularizers (merlin.models.tf.SequentialBlock property) ReplaceMaskedEmbeddings (class in merlin.models.tf) repr_add() (merlin.models.tf.TabularBlock method) repr_extra() (merlin.models.tf.ContinuousFeatures method) (merlin.models.tf.TabularBlock method) repr_ignore() (merlin.models.tf.ContinuousFeatures method) (merlin.models.tf.ParallelPredictionBlock method) (merlin.models.tf.TabularBlock method) required_features (merlin.models.tf.ItemSampler property) REQUIRES_SCHEMA (merlin.models.tf.CategoryEncoding attribute) ResidualBlock (class in merlin.models.tf) result() (merlin.models.tf.TopKMetricsAggregator method) retrieval_scorer (merlin.models.tf.ItemRetrievalTask property) RetrievalModelV2 (class in merlin.models.tf) S safe_json() (in module merlin.models.utils.misc_utils) sample() (merlin.models.tf.InBatchSampler method) (merlin.models.tf.ItemSampler method) (merlin.models.tf.PopularityBasedSampler method) sample_negatives() (merlin.models.tf.ContrastiveOutput method) save() (merlin.models.tf.Encoder method) schema (merlin.models.tf.Encoder property) (merlin.models.tf.ParallelBlock property) schema_to_tensorflow_metadata_json() (in module merlin.models.utils.schema_utils) select_by_name() (merlin.models.tf.ParallelBlock method) select_by_names() (merlin.models.tf.ParallelBlock method) select_by_tag() (merlin.models.tf.EmbeddingTable method) (merlin.models.tf.Filter method) (merlin.models.tf.ParallelBlock method) (merlin.models.tf.TabularBlock method) select_targets() (in module merlin.models.utils.schema_utils) SequenceEmbeddingFeatures (class in merlin.models.tf) SequenceMaskLast (class in merlin.models.tf) SequenceMaskRandom (class in merlin.models.tf) SequencePredictLast (class in merlin.models.tf) SequencePredictNext (class in merlin.models.tf) SequencePredictRandom (class in merlin.models.tf) SequenceTargetAsInput (class in merlin.models.tf) SequentialBlock (class in merlin.models.tf) set_aggregation() (merlin.models.tf.TabularBlock method) set_batch_size() (merlin.models.tf.InBatchSampler method) set_max_num_samples() (merlin.models.tf.ItemSampler method) set_negative_samplers() (merlin.models.tf.ContrastiveOutput method) set_post() (merlin.models.tf.TabularBlock method) set_pre() (merlin.models.tf.TabularBlock method) set_required_features() (merlin.models.tf.ItemRetrievalScorer method) set_retrieval_cache_query() (merlin.models.tf.ItemRetrievalTask method) set_schema() (merlin.models.tf.Filter method) (merlin.models.tf.SequentialBlock method) (merlin.models.tf.TabularBlock method) snakecase_to_camelcase() (in module merlin.models.utils.registry) SparseCategoricalCrossEntropy (class in merlin.models.tf.losses) split_embeddings_on_size() (in module merlin.models.tf) StochasticSwapNoise (class in merlin.models.tf) super() (merlin.models.tf.TabularBlock method) T TabularBlock (class in merlin.models.tf) task_blocks (merlin.models.tf.ParallelPredictionBlock property) task_name (merlin.models.tf.ModelOutput property) (merlin.models.tf.PredictionTask property) task_names (merlin.models.tf.ParallelPredictionBlock property) task_names_from_schema() (merlin.models.tf.ParallelPredictionBlock class method) tensorflow_metadata_json_to_schema() (in module merlin.models.utils.schema_utils) TensorInitializer (class in merlin.models.tf) Timing (class in merlin.models.utils.misc_utils) to_call (merlin.models.tf.Encoder property) to_dataset() (merlin.models.tf.CategoricalOutput method) (merlin.models.tf.ContrastiveOutput method) (merlin.models.tf.EmbeddingEncoder method) (merlin.models.tf.EmbeddingTable method) to_df() (merlin.models.tf.EmbeddingTable method) to_top_k_encoder() (merlin.models.tf.RetrievalModelV2 method) ToDense (class in merlin.models.tf) ToOneHot (class in merlin.models.tf) TOP1Loss (class in merlin.models.tf.losses) TOP1maxLoss (class in merlin.models.tf.losses) TOP1v2Loss (class in merlin.models.tf.losses) topk_layer (merlin.models.tf.TopKEncoder property) TopKEncoder (class in merlin.models.tf) TopKMetricsAggregator (class in merlin.models.tf) ToSparse (class in merlin.models.tf) ToTarget (class in merlin.models.tf) train_step() (merlin.models.tf.Encoder method) trainable (merlin.models.tf.SequentialBlock property) trainable_weights (merlin.models.tf.SequentialBlock property) TwoTowerBlock (class in merlin.models.tf) TwoTowerModel() (in module merlin.models.tf) TwoTowerModelV2() (in module merlin.models.tf) U update() (merlin.models.tf.MultiOptimizer method) update_state() (merlin.models.tf.TopKMetricsAggregator method) V validate() (merlin.models.utils.registry.Registry method) validate_dataset() (in module merlin.models.utils.misc_utils) values() (merlin.models.utils.registry.Registry method) variables() (merlin.models.tf.MultiOptimizer method) W weights (merlin.models.tf.MultiOptimizer property) WideAndDeepModel() (in module merlin.models.tf) Y YoutubeDNNRetrievalModel() (in module merlin.models.tf) YoutubeDNNRetrievalModelV2() (in module merlin.models.tf)