Index

A

add() (merlin_standard_lib.Schema method), [1] (merlin_standard_lib.schema.schema.Schema method), [1] (transformers4rec.tf.Schema method) (transformers4rec.torch.Schema method) add_module() (transformers4rec.torch.block.base.SequentialBlock method) (transformers4rec.torch.SequentialBlock method) add_module_and_maybe_build() (transformers4rec.torch.block.base.SequentialBlock method) (transformers4rec.torch.SequentialBlock method) add_task() (transformers4rec.tf.Head method) aggregation() (transformers4rec.tf.TabularBlock property) (transformers4rec.torch.TabularModule property) AlbertConfig (class in transformers4rec.config.transformer) (class in transformers4rec.tf) (class in transformers4rec.torch) ALPHA (merlin_standard_lib.proto.schema_bp.LifecycleStage attribute), [1] Annotation (class in merlin_standard_lib.proto.schema_bp), [1] annotation (merlin_standard_lib.proto.schema_bp.Feature attribute), [1] append() (transformers4rec.torch.SequentialTabularTransformations method) apply() (merlin_standard_lib.Schema method), [1] (merlin_standard_lib.schema.schema.Schema method), [1] (transformers4rec.tf.Schema method) (transformers4rec.torch.Schema method) apply_inverse() (merlin_standard_lib.Schema method), [1] (merlin_standard_lib.schema.schema.Schema method), [1] (transformers4rec.tf.Schema method) (transformers4rec.torch.Schema method)

apply_mask_to_inputs() (transformers4rec.tf.masking.CausalLanguageModeling method) (transformers4rec.tf.masking.MaskSequence method) (transformers4rec.torch.masking.CausalLanguageModeling method) (transformers4rec.torch.masking.MaskSequence method) (transformers4rec.torch.utils.torch_utils.MappingTransformerMasking.CausalLanguageModeling method) apply_to_all() (transformers4rec.tf.TabularBlock method) as_tabular() (transformers4rec.tf.Block method) (transformers4rec.tf.block.base.Block method) (transformers4rec.torch.block.base.BlockBase method) (transformers4rec.torch.block.base.SequentialBlock method) (transformers4rec.torch.BlockBase method) (transformers4rec.torch.SequentialBlock method) AsDenseFeatures (class in transformers4rec.tf) (class in transformers4rec.tf.tabular.transformations) assert_body_works_in_model() (in module transformers4rec.tf.utils.testing_utils) assert_loss_and_metrics_are_valid() (in module transformers4rec.tf.utils.testing_utils) assert_serialization() (in module transformers4rec.tf.utils.testing_utils) AsSparseFeatures (class in transformers4rec.tf) (class in transformers4rec.tf.tabular.transformations) AsTabular (class in transformers4rec.tf) (class in transformers4rec.torch) augment() (transformers4rec.tf.StochasticSwapNoise method) (transformers4rec.tf.tabular.transformations.StochasticSwapNoise method) (transformers4rec.torch.StochasticSwapNoise method) (transformers4rec.torch.tabular.transformations.StochasticSwapNoise method) AvgPrecisionAt (class in transformers4rec.tf.ranking_metric) (class in transformers4rec.torch.ranking_metric)

B

batch_size (transformers4rec.torch.utils.data_utils.PyarrowDataLoader attribute) BertConfig (class in transformers4rec.config.transformer) (transformers4rec.torch.utils.torch_utils.MappingTransformerMasking attribute) BETA (merlin_standard_lib.proto.schema_bp.LifecycleStage attribute), [1] better_proto_to_proto_text() (in module merlin_standard_lib.utils.proto_utils), [1] BINARY_CLASSIFICATION (merlin_standard_lib.schema.tag.Tag attribute), [1] (merlin_standard_lib.Tag attribute), [1] (transformers4rec.tf.Tag attribute) (transformers4rec.torch.Tag attribute) BinaryClassificationPrepareBlock (class in transformers4rec.torch.model.prediction_task) BinaryClassificationTask (class in transformers4rec.tf) (class in transformers4rec.tf.model.prediction_task) (class in transformers4rec.torch) (class in transformers4rec.torch.model.prediction_task) Block (class in transformers4rec.tf) (class in transformers4rec.tf.block.base) (class in transformers4rec.torch) (class in transformers4rec.torch.block.base) BlockBase (class in transformers4rec.torch) (class in transformers4rec.torch.block.base) bool_domain (merlin_standard_lib.proto.schema_bp.Feature attribute), [1] BoolDomain (class in merlin_standard_lib.proto.schema_bp), [1] build() (transformers4rec.config.transformer.AlbertConfig class method) (transformers4rec.config.transformer.BertConfig class method) (transformers4rec.config.transformer.ElectraConfig class method) (transformers4rec.config.transformer.GPT2Config class method) (transformers4rec.config.transformer.LongformerConfig class method) (transformers4rec.config.transformer.ReformerConfig class method) (transformers4rec.config.transformer.RobertaConfig class method) (transformers4rec.config.transformer.T4RecConfig class method) (transformers4rec.config.transformer.TransfoXLConfig class method) (transformers4rec.config.transformer.XLNetConfig class method) (transformers4rec.tf.AlbertConfig class method) (transformers4rec.tf.block.base.SequentialBlock method) (transformers4rec.tf.ElectraConfig class method) (transformers4rec.tf.EmbeddingFeatures method) (transformers4rec.tf.features.embedding.EmbeddingFeatures method) (transformers4rec.tf.GPT2Config class method) (transformers4rec.tf.Head method) (transformers4rec.tf.layers.DotProductInteraction method) (transformers4rec.tf.layers.interaction.DotProductInteraction method) (transformers4rec.tf.layers.outer_product.XDeepFmOuterProduct method) (transformers4rec.tf.layers.XDeepFmOuterProduct method) (transformers4rec.tf.LongformerConfig class method) (transformers4rec.tf.masking.MaskSequence method) (transformers4rec.tf.model.prediction_task.NextItemPredictionTask method) (transformers4rec.tf.NextItemPredictionTask method) (transformers4rec.tf.ReformerConfig class method) (transformers4rec.tf.SequentialBlock method) (transformers4rec.tf.T4RecConfig class method) (transformers4rec.tf.XLNetConfig class method) (transformers4rec.torch.AlbertConfig class method) (transformers4rec.torch.block.base.BuildableBlock method) (transformers4rec.torch.block.base.SequentialBlock method) (transformers4rec.torch.block.mlp.MLPBlock method) (transformers4rec.torch.ElectraConfig class method) (transformers4rec.torch.GPT2Config class method) (transformers4rec.torch.Head method) (transformers4rec.torch.LongformerConfig class method) (transformers4rec.torch.MergeTabular method) (transformers4rec.torch.MLPBlock method) (transformers4rec.torch.model.prediction_task.BinaryClassificationPrepareBlock method) (transformers4rec.torch.model.prediction_task.NextItemPredictionPrepareBlock method) (transformers4rec.torch.model.prediction_task.NextItemPredictionTask method) (transformers4rec.torch.model.prediction_task.RegressionPrepareBlock method) (transformers4rec.torch.NextItemPredictionTask method) (transformers4rec.torch.PredictionTask method) (transformers4rec.torch.ReformerConfig class method) (transformers4rec.torch.SequentialBlock method) (transformers4rec.torch.T4RecConfig class method) (transformers4rec.torch.tabular.transformations.TabularLayerNorm method) (transformers4rec.torch.TabularBlock method) (transformers4rec.torch.TabularLayerNorm method) (transformers4rec.torch.TransfoXLConfig class method) (transformers4rec.torch.utils.torch_utils.OutputSizeMixin method) (transformers4rec.torch.XLNetConfig class method)

build_blocks() (in module transformers4rec.torch) (in module transformers4rec.torch.block.base) BuildableBlock (class in transformers4rec.torch.block.base) BYTES (merlin_standard_lib.proto.schema_bp.FeatureType attribute), [1] bytes_value (merlin_standard_lib.proto.schema_bp.TensorRepresentationDefaultValue attribute), [1]

C

calculate_batch_size_from_input_shapes() (in module transformers4rec.tf.utils.tf_utils) (transformers4rec.tf.TabularBlock static method) calculate_batch_size_from_input_size() (in module transformers4rec.torch.utils.torch_utils) calculate_metrics() (transformers4rec.tf.model.prediction_task.NextItemPredictionTask method) (transformers4rec.tf.NextItemPredictionTask method) (transformers4rec.tf.PredictionTask method) (transformers4rec.tf.utils.tf_utils.MetricsMixin method) (transformers4rec.torch.Head method) (transformers4rec.torch.Model method) (transformers4rec.torch.model.prediction_task.NextItemPredictionTask method) (transformers4rec.torch.NextItemPredictionTask method) (transformers4rec.torch.PredictionTask method) (transformers4rec.torch.utils.torch_utils.MetricsMixin method) call() (transformers4rec.tf.AsDenseFeatures method) (transformers4rec.tf.AsSparseFeatures method) (transformers4rec.tf.AsTabular method) (transformers4rec.tf.block.base.SequentialBlock method) (transformers4rec.tf.block.dlrm.DLRMBlock method) (transformers4rec.tf.block.transformer.TransformerBlock method) (transformers4rec.tf.block.transformer.TransformerPrepare method) (transformers4rec.tf.ConcatFeatures method) (transformers4rec.tf.ContinuousFeatures method) (transformers4rec.tf.DLRMBlock method) (transformers4rec.tf.ElementwiseSum method) (transformers4rec.tf.ElementwiseSumItemMulti method) (transformers4rec.tf.EmbeddingFeatures method) (transformers4rec.tf.features.continuous.ContinuousFeatures method) (transformers4rec.tf.features.embedding.EmbeddingFeatures method) (transformers4rec.tf.features.sequence.TabularSequenceFeatures method) (transformers4rec.tf.features.text.ParseTokenizedText method) (transformers4rec.tf.features.text.TextEmbeddingFeaturesWithTransformers method) (transformers4rec.tf.FilterFeatures method) (transformers4rec.tf.Head method) (transformers4rec.tf.layers.DotProductInteraction method) (transformers4rec.tf.layers.interaction.DotProductInteraction method) (transformers4rec.tf.layers.outer_product.XDeepFmOuterProduct method) (transformers4rec.tf.layers.XDeepFmOuterProduct method) (transformers4rec.tf.masking.MaskSequence method) (transformers4rec.tf.MergeTabular method) (transformers4rec.tf.Model method) (transformers4rec.tf.model.prediction_task.NextItemPredictionTask method) (transformers4rec.tf.NextItemPredictionTask method) (transformers4rec.tf.PredictionTask method) (transformers4rec.tf.SequentialBlock method) (transformers4rec.tf.StackFeatures method) (transformers4rec.tf.StochasticSwapNoise method) (transformers4rec.tf.tabular.aggregation.ConcatFeatures method) (transformers4rec.tf.tabular.aggregation.ElementwiseSum method) (transformers4rec.tf.tabular.aggregation.ElementwiseSumItemMulti method) (transformers4rec.tf.tabular.aggregation.StackFeatures method) (transformers4rec.tf.tabular.transformations.AsDenseFeatures method) (transformers4rec.tf.tabular.transformations.AsSparseFeatures method) (transformers4rec.tf.tabular.transformations.StochasticSwapNoise method) (transformers4rec.tf.TabularBlock method) (transformers4rec.tf.TabularSequenceFeatures method) (transformers4rec.tf.TextEmbeddingFeaturesWithTransformers method) (transformers4rec.tf.TransformerBlock method) camelcase_to_snakecase() (in module merlin_standard_lib.registry), [1] CATEGORICAL (merlin_standard_lib.schema.tag.Tag attribute), [1] (merlin_standard_lib.Tag attribute), [1] (transformers4rec.tf.Tag attribute) (transformers4rec.torch.Tag attribute) categorical_cardinalities() (merlin_standard_lib.Schema method), [1] (merlin_standard_lib.schema.schema.Schema method), [1] (transformers4rec.tf.Schema method) (transformers4rec.torch.Schema method) categorical_layer() (transformers4rec.tf.features.tabular.TabularFeatures property) (transformers4rec.tf.TabularFeatures property) categorical_module() (transformers4rec.torch.features.tabular.TabularFeatures property) (transformers4rec.torch.TabularFeatures property) CausalLanguageModeling (class in transformers4rec.tf.masking) (class in transformers4rec.torch.masking) check_gpu() (in module transformers4rec.torch.utils.torch_utils) check_inputs() (in module transformers4rec.tf.ranking_metric) (in module transformers4rec.torch.utils.torch_utils) check_schema() (transformers4rec.config.schema.SchemaMixin method) child_name() (transformers4rec.tf.PredictionTask method) (transformers4rec.torch.PredictionTask method) class_registry() (merlin_standard_lib.Registry class method), [1] (merlin_standard_lib.registry.Registry class method), [1] column_name (merlin_standard_lib.proto.schema_bp.TensorRepresentationDenseTensor attribute), [1] (merlin_standard_lib.proto.schema_bp.TensorRepresentationVarLenSparseTensor attribute), [1] column_names() (merlin_standard_lib.Schema property), [1] (merlin_standard_lib.schema.schema.Schema property), [1] (transformers4rec.tf.Schema property) (transformers4rec.torch.Schema property) column_schemas() (merlin_standard_lib.Schema property), [1] (merlin_standard_lib.schema.schema.Schema property), [1] (transformers4rec.tf.Schema property) (transformers4rec.torch.Schema property) ColumnSchema (class in merlin_standard_lib), [1] (class in merlin_standard_lib.schema.schema), [1] comment (merlin_standard_lib.proto.schema_bp.Annotation attribute), [1] compute() (transformers4rec.torch.ranking_metric.RankingMetric method) compute_call_output_shape() (transformers4rec.tf.ContinuousFeatures method) (transformers4rec.tf.EmbeddingFeatures method) (transformers4rec.tf.features.continuous.ContinuousFeatures method) (transformers4rec.tf.features.embedding.EmbeddingFeatures method) (transformers4rec.tf.features.sequence.SequenceEmbeddingFeatures method) (transformers4rec.tf.features.sequence.TabularSequenceFeatures method) (transformers4rec.tf.MergeTabular method) (transformers4rec.tf.SequenceEmbeddingFeatures method) (transformers4rec.tf.TabularBlock method) (transformers4rec.tf.TabularSequenceFeatures method)

compute_loss() (transformers4rec.tf.Head method) (transformers4rec.tf.Model method) (transformers4rec.tf.model.prediction_task.NextItemPredictionTask method) (transformers4rec.tf.NextItemPredictionTask method) (transformers4rec.tf.PredictionTask method) (transformers4rec.tf.utils.tf_utils.LossMixin method) (transformers4rec.torch.Head method) (transformers4rec.torch.Model method) (transformers4rec.torch.PredictionTask method) (transformers4rec.torch.utils.torch_utils.LossMixin method) compute_mask() (transformers4rec.tf.features.sequence.SequenceEmbeddingFeatures method) (transformers4rec.tf.SequenceEmbeddingFeatures method) compute_masked_targets() (transformers4rec.tf.masking.MaskSequence method) (transformers4rec.torch.masking.MaskSequence method) (transformers4rec.torch.masking.PermutationLanguageModeling method) (transformers4rec.torch.utils.torch_utils.MappingTransformerMasking.PermutationLanguageModeling method) compute_metrics() (transformers4rec.torch.Head method) (transformers4rec.torch.Model method) (transformers4rec.torch.model.prediction_task.NextItemPredictionTask method) (transformers4rec.torch.NextItemPredictionTask method) (transformers4rec.torch.PredictionTask method) (transformers4rec.torch.utils.torch_utils.MetricsMixin method) compute_metrics_each_n_steps (transformers4rec.config.trainer.T4RecTrainingArguments attribute) (transformers4rec.torch.T4RecTrainingArguments attribute) compute_output_shape() (transformers4rec.tf.AsDenseFeatures method) (transformers4rec.tf.AsSparseFeatures method) (transformers4rec.tf.block.base.SequentialBlock method) (transformers4rec.tf.ConcatFeatures method) (transformers4rec.tf.ElementwiseSum method) (transformers4rec.tf.ElementwiseSumItemMulti method) (transformers4rec.tf.features.sequence.TabularSequenceFeatures method) (transformers4rec.tf.features.text.ParseTokenizedText method) (transformers4rec.tf.features.text.TextEmbeddingFeaturesWithTransformers method) (transformers4rec.tf.FilterFeatures method) (transformers4rec.tf.layers.DotProductInteraction method) (transformers4rec.tf.layers.interaction.DotProductInteraction method) (transformers4rec.tf.layers.outer_product.XDeepFmOuterProduct method) (transformers4rec.tf.layers.XDeepFmOuterProduct method) (transformers4rec.tf.SequentialBlock method) (transformers4rec.tf.StackFeatures method) (transformers4rec.tf.StochasticSwapNoise method) (transformers4rec.tf.tabular.aggregation.ConcatFeatures method) (transformers4rec.tf.tabular.aggregation.ElementwiseSum method) (transformers4rec.tf.tabular.aggregation.ElementwiseSumItemMulti method) (transformers4rec.tf.tabular.aggregation.StackFeatures method) (transformers4rec.tf.tabular.transformations.AsDenseFeatures method) (transformers4rec.tf.tabular.transformations.AsSparseFeatures method) (transformers4rec.tf.tabular.transformations.StochasticSwapNoise method) (transformers4rec.tf.TabularBlock method) (transformers4rec.tf.TabularSequenceFeatures method) (transformers4rec.tf.TextEmbeddingFeaturesWithTransformers method) compute_output_signature() (transformers4rec.tf.block.base.SequentialBlock method) (transformers4rec.tf.SequentialBlock method) ConcatFeatures (class in transformers4rec.tf) (class in transformers4rec.tf.tabular.aggregation) (class in transformers4rec.torch) (class in transformers4rec.torch.tabular.aggregation) CONTEXT (merlin_standard_lib.schema.tag.Tag attribute), [1] (merlin_standard_lib.Tag attribute), [1] (transformers4rec.tf.Tag attribute) (transformers4rec.torch.Tag attribute) CONTINUOUS (merlin_standard_lib.schema.tag.Tag attribute), [1] (merlin_standard_lib.Tag attribute), [1] (transformers4rec.tf.Tag attribute) (transformers4rec.torch.Tag attribute) continuous_layer() (transformers4rec.tf.features.tabular.TabularFeatures property) (transformers4rec.tf.TabularFeatures property) continuous_module() (transformers4rec.torch.features.tabular.TabularFeatures property) (transformers4rec.torch.TabularFeatures property) CONTINUOUS_MODULE_CLASS (transformers4rec.tf.features.tabular.TabularFeatures attribute) (transformers4rec.tf.TabularFeatures attribute) (transformers4rec.torch.features.tabular.TabularFeatures attribute) (transformers4rec.torch.TabularFeatures attribute) ContinuousFeatures (class in transformers4rec.tf) (class in transformers4rec.tf.features.continuous) (class in transformers4rec.torch) (class in transformers4rec.torch.features.continuous) ConvBertConfig (transformers4rec.torch.utils.torch_utils.MappingTransformerMasking attribute) copy() (merlin_standard_lib.ColumnSchema method), [1] (merlin_standard_lib.Schema method), [1] (merlin_standard_lib.schema.schema.ColumnSchema method), [1] (merlin_standard_lib.schema.schema.Schema method), [1] (transformers4rec.tf.Schema method) (transformers4rec.torch.Schema method) copy_better_proto_message() (in module merlin_standard_lib.utils.proto_utils), [1] coverage (merlin_standard_lib.proto.schema_bp.NaturalLanguageDomain attribute), [1] create() (merlin_standard_lib.Schema class method), [1] (merlin_standard_lib.schema.schema.Schema class method), [1] (transformers4rec.tf.Schema class method) (transformers4rec.torch.Schema class method) create_categorical() (merlin_standard_lib.ColumnSchema class method), [1] (merlin_standard_lib.schema.schema.ColumnSchema class method), [1] create_continuous() (merlin_standard_lib.ColumnSchema class method), [1] (merlin_standard_lib.schema.schema.ColumnSchema class method), [1] create_output_placeholder() (in module transformers4rec.tf.utils.tf_utils) (in module transformers4rec.torch.utils.torch_utils) create_scheduler() (transformers4rec.torch.Trainer method) (transformers4rec.torch.trainer.Trainer method)

D

data_loader_engine (transformers4rec.config.trainer.T4RecTrainingArguments attribute) (transformers4rec.torch.T4RecTrainingArguments attribute) dataset (transformers4rec.torch.utils.data_utils.PyarrowDataLoader attribute) DatasetConstraints (class in merlin_standard_lib.proto.schema_bp), [1] DatasetMock (class in transformers4rec.torch.trainer) DCGAt (class in transformers4rec.tf.ranking_metric) (class in transformers4rec.torch.ranking_metric) DebertaConfig (transformers4rec.torch.utils.torch_utils.MappingTransformerMasking attribute) DEBUG_ONLY (merlin_standard_lib.proto.schema_bp.LifecycleStage attribute), [1] default_key() (merlin_standard_lib.Registry method), [1] (merlin_standard_lib.registry.Registry method), [1] DEFAULT_LOSS (transformers4rec.tf.BinaryClassificationTask attribute) (transformers4rec.tf.model.prediction_task.BinaryClassificationTask attribute) (transformers4rec.tf.model.prediction_task.NextItemPredictionTask attribute) (transformers4rec.tf.model.prediction_task.RegressionTask attribute) (transformers4rec.tf.NextItemPredictionTask attribute) (transformers4rec.tf.RegressionTask attribute) (transformers4rec.torch.BinaryClassificationTask attribute) (transformers4rec.torch.model.prediction_task.BinaryClassificationTask attribute) (transformers4rec.torch.model.prediction_task.RegressionTask attribute) (transformers4rec.torch.RegressionTask attribute) DEFAULT_MASKING (transformers4rec.torch.utils.torch_utils.MappingTransformerMasking attribute) DEFAULT_METRICS (transformers4rec.tf.BinaryClassificationTask attribute) (transformers4rec.tf.model.prediction_task.BinaryClassificationTask attribute) (transformers4rec.tf.model.prediction_task.NextItemPredictionTask attribute) (transformers4rec.tf.model.prediction_task.RegressionTask attribute) (transformers4rec.tf.NextItemPredictionTask attribute) (transformers4rec.tf.RegressionTask attribute) (transformers4rec.torch.BinaryClassificationTask attribute) (transformers4rec.torch.model.prediction_task.BinaryClassificationTask attribute) (transformers4rec.torch.model.prediction_task.NextItemPredictionTask attribute) (transformers4rec.torch.model.prediction_task.RegressionTask attribute) (transformers4rec.torch.NextItemPredictionTask attribute) (transformers4rec.torch.RegressionTask attribute)

default_name() (in module merlin_standard_lib.registry), [1] default_object_name() (in module merlin_standard_lib.registry), [1] default_value (merlin_standard_lib.proto.schema_bp.TensorRepresentationDenseTensor attribute), [1] dense_extra_repr() (in module transformers4rec.tf.utils.repr_utils) dense_shape (merlin_standard_lib.proto.schema_bp.SparseFeature attribute), [1] (merlin_standard_lib.proto.schema_bp.TensorRepresentationSparseTensor attribute), [1] dense_tensor (merlin_standard_lib.proto.schema_bp.TensorRepresentation attribute), [1] DenseBlock (class in transformers4rec.torch.block.mlp) deprecated (merlin_standard_lib.proto.schema_bp.Feature attribute), [1] DEPRECATED (merlin_standard_lib.proto.schema_bp.LifecycleStage attribute), [1] deprecated (merlin_standard_lib.proto.schema_bp.SparseFeature attribute), [1] deserialize_table_config() (in module transformers4rec.tf.features.embedding) dict_wrapper_repr() (in module transformers4rec.tf.utils.repr_utils) dim (merlin_standard_lib.proto.schema_bp.FixedShape attribute), [1] DISABLED (merlin_standard_lib.proto.schema_bp.LifecycleStage attribute), [1] disallow_inf (merlin_standard_lib.proto.schema_bp.FloatDomain attribute), [1] disallow_nan (merlin_standard_lib.proto.schema_bp.FloatDomain attribute), [1] display_list_by_prefix() (in module merlin_standard_lib.registry), [1] DistilBertConfig (transformers4rec.torch.utils.torch_utils.MappingTransformerMasking attribute) distribution_constraints (merlin_standard_lib.proto.schema_bp.Feature attribute), [1] DistributionConstraints (class in merlin_standard_lib.proto.schema_bp), [1] DLRMBlock (class in transformers4rec.tf) (class in transformers4rec.tf.block.dlrm) docstring_parameter() (in module merlin_standard_lib.utils.doc_utils), [1] domain (merlin_standard_lib.proto.schema_bp.Feature attribute), [1] DotProductInteraction (class in transformers4rec.tf.layers) (class in transformers4rec.tf.layers.interaction) drift_comparator (merlin_standard_lib.proto.schema_bp.Feature attribute), [1] drop_last (transformers4rec.torch.utils.data_utils.PyarrowDataLoader attribute)

E

ElectraConfig (class in transformers4rec.config.transformer) (class in transformers4rec.tf) (class in transformers4rec.torch) ElementwiseFeatureAggregation (class in transformers4rec.tf.tabular.aggregation) (class in transformers4rec.torch.tabular.aggregation) ElementwiseSum (class in transformers4rec.tf) (class in transformers4rec.tf.tabular.aggregation) (class in transformers4rec.torch) (class in transformers4rec.torch.tabular.aggregation) ElementwiseSumItemMulti (class in transformers4rec.tf) (class in transformers4rec.tf.tabular.aggregation) (class in transformers4rec.torch) (class in transformers4rec.torch.tabular.aggregation) embedding_dim (transformers4rec.torch.features.embedding.EmbeddingBagWrapper attribute) EMBEDDING_MODULE_CLASS (transformers4rec.tf.features.sequence.TabularSequenceFeatures attribute) (transformers4rec.tf.features.tabular.TabularFeatures attribute) (transformers4rec.tf.TabularFeatures attribute) (transformers4rec.tf.TabularSequenceFeatures attribute) (transformers4rec.torch.features.sequence.TabularSequenceFeatures attribute) (transformers4rec.torch.features.tabular.TabularFeatures attribute) (transformers4rec.torch.TabularFeatures attribute) (transformers4rec.torch.TabularSequenceFeatures attribute)

EmbeddingBagWrapper (class in transformers4rec.torch.features.embedding) EmbeddingFeatures (class in transformers4rec.tf) (class in transformers4rec.tf.features.embedding) (class in transformers4rec.torch) (class in transformers4rec.torch.features.embedding) eval_on_test_set (transformers4rec.config.trainer.T4RecTrainingArguments attribute) (transformers4rec.torch.T4RecTrainingArguments attribute) eval_steps_on_train_set (transformers4rec.config.trainer.T4RecTrainingArguments attribute) (transformers4rec.torch.T4RecTrainingArguments attribute) evaluate() (transformers4rec.torch.Model method) evaluation_loop() (transformers4rec.torch.Trainer method) (transformers4rec.torch.trainer.Trainer method) excluded_int_tokens (merlin_standard_lib.proto.schema_bp.FeatureCoverageConstraints attribute), [1] excluded_int_value (merlin_standard_lib.proto.schema_bp.SequenceLengthConstraints attribute), [1] excluded_string_tokens (merlin_standard_lib.proto.schema_bp.FeatureCoverageConstraints attribute), [1] excluded_string_value (merlin_standard_lib.proto.schema_bp.SequenceLengthConstraints attribute), [1] ExpandDimsAndToTabular (class in transformers4rec.tf.block.dlrm) experiments_group (transformers4rec.config.trainer.T4RecTrainingArguments attribute) (transformers4rec.torch.T4RecTrainingArguments attribute) extra_metadata (merlin_standard_lib.proto.schema_bp.Annotation attribute), [1] extract_topk() (in module transformers4rec.tf.utils.tf_utils) (in module transformers4rec.torch.utils.torch_utils)

F

false_value (merlin_standard_lib.proto.schema_bp.BoolDomain attribute), [1] Feature (class in merlin_standard_lib.proto.schema_bp), [1] feature (merlin_standard_lib.proto.schema_bp.StructDomain attribute), [1] (merlin_standard_lib.proto.schema_bp.WeightedFeature attribute), [1] (merlin_standard_lib.Schema attribute), [1] (merlin_standard_lib.schema.schema.Schema attribute), [1] (transformers4rec.tf.Schema attribute) (transformers4rec.torch.Schema attribute) feature_path (merlin_standard_lib.proto.schema_bp.TensorRepresentationRaggedTensor attribute), [1] FeatureComparator (class in merlin_standard_lib.proto.schema_bp), [1] FeatureConfig (class in transformers4rec.tf) (class in transformers4rec.torch) (class in transformers4rec.torch.features.embedding) FeatureCoverageConstraints (class in merlin_standard_lib.proto.schema_bp), [1] FeaturePresence (class in merlin_standard_lib.proto.schema_bp), [1] FeaturePresenceWithinGroup (class in merlin_standard_lib.proto.schema_bp), [1] FeatureType (class in merlin_standard_lib.proto.schema_bp), [1] filter_column_schemas() (merlin_standard_lib.Schema method), [1] (merlin_standard_lib.schema.schema.Schema method), [1] (transformers4rec.tf.Schema method) (transformers4rec.torch.Schema method) filter_columns_from_dict() (merlin_standard_lib.Schema method), [1] (merlin_standard_lib.schema.schema.Schema method), [1] (transformers4rec.tf.Schema method) (transformers4rec.torch.Schema method) filter_kwargs() (in module merlin_standard_lib.utils.misc_utils), [1] FilterFeatures (class in transformers4rec.tf) (class in transformers4rec.torch) fit() (transformers4rec.torch.Model method) fit_and_evaluate() (in module transformers4rec.torch.utils.examples_utils) FixedShape (class in merlin_standard_lib.proto.schema_bp), [1] FixedShapeDim (class in merlin_standard_lib.proto.schema_bp), [1] FLOAT (merlin_standard_lib.proto.schema_bp.FeatureType attribute), [1] float_domain (merlin_standard_lib.proto.schema_bp.Feature attribute), [1] float_value (merlin_standard_lib.proto.schema_bp.TensorRepresentationDefaultValue attribute), [1] FloatDomain (class in merlin_standard_lib.proto.schema_bp), [1] FORMAT_UNKNOWN (merlin_standard_lib.proto.schema_bp.TimeDomainIntegerTimeFormat attribute), [1] (merlin_standard_lib.proto.schema_bp.TimeOfDayDomainIntegerTimeOfDayFormat attribute), [1] forward() (transformers4rec.torch.AsTabular method) (transformers4rec.torch.Block method) (transformers4rec.torch.block.base.Block method) (transformers4rec.torch.block.base.SequentialBlock method) (transformers4rec.torch.block.transformer.GPT2Prepare method) (transformers4rec.torch.block.transformer.TransformerBlock method) (transformers4rec.torch.block.transformer.TransformerPrepare method) (transformers4rec.torch.ConcatFeatures method) (transformers4rec.torch.ContinuousFeatures method) (transformers4rec.torch.ElementwiseSum method) (transformers4rec.torch.ElementwiseSumItemMulti method) (transformers4rec.torch.EmbeddingFeatures method) (transformers4rec.torch.features.continuous.ContinuousFeatures method) (transformers4rec.torch.features.embedding.EmbeddingBagWrapper method) (transformers4rec.torch.features.embedding.EmbeddingFeatures method) (transformers4rec.torch.features.embedding.SoftEmbedding method) (transformers4rec.torch.features.sequence.TabularSequenceFeatures method) (transformers4rec.torch.FilterFeatures method) (transformers4rec.torch.Head method) (transformers4rec.torch.LabelSmoothCrossEntropyLoss method) (transformers4rec.torch.masking.MaskSequence method) (transformers4rec.torch.MergeTabular method) (transformers4rec.torch.Model method) (transformers4rec.torch.model.prediction_task.NextItemPredictionTask method) (transformers4rec.torch.NextItemPredictionTask method) (transformers4rec.torch.PredictionTask method) (transformers4rec.torch.SequentialBlock method) (transformers4rec.torch.SoftEmbedding method) (transformers4rec.torch.StackFeatures method) (transformers4rec.torch.StochasticSwapNoise method) (transformers4rec.torch.tabular.aggregation.ConcatFeatures method) (transformers4rec.torch.tabular.aggregation.ElementwiseSum method) (transformers4rec.torch.tabular.aggregation.ElementwiseSumItemMulti method) (transformers4rec.torch.tabular.aggregation.StackFeatures method) (transformers4rec.torch.tabular.transformations.StochasticSwapNoise method) (transformers4rec.torch.tabular.transformations.TabularDropout method) (transformers4rec.torch.tabular.transformations.TabularLayerNorm method) (transformers4rec.torch.TabularAggregation method) (transformers4rec.torch.TabularDropout method) (transformers4rec.torch.TabularLayerNorm method) (transformers4rec.torch.TabularModule method) (transformers4rec.torch.TabularSequenceFeatures method) (transformers4rec.torch.TabularTransformation method) (transformers4rec.torch.trainer.HFWrapper method) (transformers4rec.torch.TransformerBlock method) (transformers4rec.torch.utils.torch_utils.LambdaModule method) forward_output_size() (transformers4rec.torch.AsTabular method) (transformers4rec.torch.Block method) (transformers4rec.torch.block.base.Block method) (transformers4rec.torch.block.base.SequentialBlock method) (transformers4rec.torch.block.mlp.DenseBlock method) (transformers4rec.torch.block.transformer.TransformerBlock method) (transformers4rec.torch.ConcatFeatures method) (transformers4rec.torch.ContinuousFeatures method) (transformers4rec.torch.ElementwiseSum method) (transformers4rec.torch.ElementwiseSumItemMulti method) (transformers4rec.torch.EmbeddingFeatures method) (transformers4rec.torch.features.continuous.ContinuousFeatures method) (transformers4rec.torch.features.embedding.EmbeddingFeatures method) (transformers4rec.torch.features.sequence.SequenceEmbeddingFeatures method) (transformers4rec.torch.features.sequence.TabularSequenceFeatures method) (transformers4rec.torch.features.tabular.TabularFeatures method) (transformers4rec.torch.FilterFeatures method) (transformers4rec.torch.masking.MaskSequence method) (transformers4rec.torch.MergeTabular method) (transformers4rec.torch.SequenceEmbeddingFeatures method) (transformers4rec.torch.SequentialBlock method) (transformers4rec.torch.StackFeatures method) (transformers4rec.torch.StochasticSwapNoise method) (transformers4rec.torch.tabular.aggregation.ConcatFeatures method) (transformers4rec.torch.tabular.aggregation.ElementwiseSum method) (transformers4rec.torch.tabular.aggregation.ElementwiseSumItemMulti method) (transformers4rec.torch.tabular.aggregation.StackFeatures method) (transformers4rec.torch.tabular.transformations.StochasticSwapNoise method) (transformers4rec.torch.tabular.transformations.TabularDropout method) (transformers4rec.torch.tabular.transformations.TabularLayerNorm method) (transformers4rec.torch.TabularDropout method) (transformers4rec.torch.TabularFeatures method) (transformers4rec.torch.TabularLayerNorm method) (transformers4rec.torch.TabularSequenceFeatures method) (transformers4rec.torch.TransformerBlock method) (transformers4rec.torch.utils.torch_utils.OutputSizeMixin method)

from_config() (transformers4rec.tf.block.base.SequentialBlock class method) (transformers4rec.tf.block.transformer.TransformerBlock class method) (transformers4rec.tf.EmbeddingFeatures class method) (transformers4rec.tf.features.embedding.EmbeddingFeatures class method) (transformers4rec.tf.features.sequence.TabularSequenceFeatures class method) (transformers4rec.tf.features.tabular.TabularFeatures class method) (transformers4rec.tf.Head class method) (transformers4rec.tf.Model class method) (transformers4rec.tf.PredictionTask class method) (transformers4rec.tf.SequentialBlock class method) (transformers4rec.tf.TabularBlock class method) (transformers4rec.tf.TabularFeatures class method) (transformers4rec.tf.TabularSequenceFeatures class method) (transformers4rec.tf.TransformerBlock class method) from_feature_config() (transformers4rec.torch.tabular.transformations.TabularLayerNorm class method) (transformers4rec.torch.TabularLayerNorm class method) from_features() (transformers4rec.tf.ContinuousFeatures class method) (transformers4rec.tf.features.continuous.ContinuousFeatures class method) (transformers4rec.tf.TabularBlock class method) (transformers4rec.torch.ContinuousFeatures class method) (transformers4rec.torch.features.continuous.ContinuousFeatures class method) (transformers4rec.torch.TabularModule class method) from_json() (merlin_standard_lib.Schema method), [1] (merlin_standard_lib.schema.schema.Schema method), [1] (transformers4rec.tf.Schema method) (transformers4rec.torch.Schema method) from_proto_text() (merlin_standard_lib.Schema method), [1] (merlin_standard_lib.schema.schema.Schema method), [1] (transformers4rec.tf.Schema method) (transformers4rec.torch.Schema method) from_registry() (transformers4rec.tf.block.transformer.TransformerBlock class method) (transformers4rec.tf.TransformerBlock class method) (transformers4rec.torch.block.transformer.TransformerBlock class method) (transformers4rec.torch.TransformerBlock class method) from_schema() (transformers4rec.tf.block.dlrm.DLRMBlock class method) (transformers4rec.tf.DLRMBlock class method) (transformers4rec.tf.EmbeddingFeatures class method) (transformers4rec.tf.features.embedding.EmbeddingFeatures class method) (transformers4rec.tf.features.sequence.TabularSequenceFeatures class method) (transformers4rec.tf.features.tabular.TabularFeatures class method) (transformers4rec.tf.Head class method) (transformers4rec.tf.TabularBlock class method) (transformers4rec.tf.TabularFeatures class method) (transformers4rec.tf.TabularSequenceFeatures class method) (transformers4rec.torch.EmbeddingFeatures class method) (transformers4rec.torch.features.embedding.EmbeddingFeatures class method) (transformers4rec.torch.features.embedding.SoftEmbeddingFeatures class method) (transformers4rec.torch.features.sequence.TabularSequenceFeatures class method) (transformers4rec.torch.features.tabular.TabularFeatures class method) (transformers4rec.torch.Head class method) (transformers4rec.torch.SoftEmbeddingFeatures class method) (transformers4rec.torch.TabularFeatures class method) (transformers4rec.torch.TabularModule class method) (transformers4rec.torch.TabularSequenceFeatures class method) (transformers4rec.torch.utils.data_utils.PyarrowDataLoader class method) (transformers4rec.torch.utils.data_utils.T4RecDataLoader class method)

G

gather_torch_like() (in module transformers4rec.tf.utils.tf_utils) get() (merlin_standard_lib.Registry method), [1] (merlin_standard_lib.registry.Registry method), [1] get_children_by_class_name() (transformers4rec.torch.block.base.SequentialBlock static method) (transformers4rec.torch.SequentialBlock static method) get_config() (transformers4rec.tf.AsTabular method) (transformers4rec.tf.block.base.SequentialBlock method) (transformers4rec.tf.block.transformer.TransformerBlock method) (transformers4rec.tf.ConcatFeatures method) (transformers4rec.tf.ContinuousFeatures method) (transformers4rec.tf.ElementwiseSumItemMulti method) (transformers4rec.tf.EmbeddingFeatures method) (transformers4rec.tf.features.continuous.ContinuousFeatures method) (transformers4rec.tf.features.embedding.EmbeddingFeatures method) (transformers4rec.tf.features.sequence.SequenceEmbeddingFeatures method) (transformers4rec.tf.features.sequence.TabularSequenceFeatures method) (transformers4rec.tf.features.tabular.TabularFeatures method) (transformers4rec.tf.FilterFeatures method) (transformers4rec.tf.Head method) (transformers4rec.tf.layers.DotProductInteraction method) (transformers4rec.tf.layers.interaction.DotProductInteraction method) (transformers4rec.tf.masking.CausalLanguageModeling method) (transformers4rec.tf.masking.MaskedLanguageModeling method) (transformers4rec.tf.masking.MaskSequence method) (transformers4rec.tf.MergeTabular method) (transformers4rec.tf.Model method) (transformers4rec.tf.PredictionTask method) (transformers4rec.tf.SequenceEmbeddingFeatures method) (transformers4rec.tf.SequentialBlock method) (transformers4rec.tf.StackFeatures method) (transformers4rec.tf.StochasticSwapNoise method) (transformers4rec.tf.tabular.aggregation.ConcatFeatures method) (transformers4rec.tf.tabular.aggregation.ElementwiseSumItemMulti method) (transformers4rec.tf.tabular.aggregation.StackFeatures method) (transformers4rec.tf.tabular.transformations.StochasticSwapNoise method) (transformers4rec.tf.TabularBlock method) (transformers4rec.tf.TabularFeatures method) (transformers4rec.tf.TabularSequenceFeatures method) (transformers4rec.tf.TransformerBlock method)

get_embedding_size_from_cardinality() (in module merlin_standard_lib.utils.embedding_utils), [1] get_embedding_sizes_from_schema() (in module merlin_standard_lib.utils.embedding_utils), [1] get_eval_dataloader() (transformers4rec.torch.Trainer method) (transformers4rec.torch.trainer.Trainer method) get_fake_tokens() (transformers4rec.torch.masking.ReplacementLanguageModeling method) (transformers4rec.torch.utils.torch_utils.MappingTransformerMasking.ReplacementLanguageModeling method) get_filenames() (in module merlin_standard_lib.utils.misc_utils), [1] get_item_ids_from_inputs() (transformers4rec.config.schema.SchemaMixin method) get_label_feature_name() (in module merlin_standard_lib.utils.misc_utils), [1] get_object_size() (in module merlin_standard_lib.utils.misc_utils), [1] get_output_sizes_from_schema() (in module transformers4rec.tf.utils.tf_utils) (in module transformers4rec.torch.utils.torch_utils) get_padding_mask_from_item_id() (transformers4rec.config.schema.SchemaMixin method) get_parquet_files_names() (in module merlin_standard_lib.utils.misc_utils), [1] get_scheduler() (transformers4rec.torch.Trainer static method) (transformers4rec.torch.trainer.Trainer static method) get_tf_main_layer() (in module transformers4rec.tf.utils.tf_utils) get_timestamp_feature_name() (in module merlin_standard_lib.utils.misc_utils), [1] get_train_dataloader() (transformers4rec.torch.Trainer method) (transformers4rec.torch.trainer.Trainer method) GPT2Config (class in transformers4rec.config.transformer) (class in transformers4rec.tf) (class in transformers4rec.torch) (transformers4rec.torch.utils.torch_utils.MappingTransformerMasking attribute) GPT2Prepare (class in transformers4rec.torch.block.transformer) group_presence (merlin_standard_lib.proto.schema_bp.Feature attribute), [1]

H

has_field() (in module merlin_standard_lib.utils.proto_utils), [1] Head (class in transformers4rec.tf) (class in transformers4rec.torch)

HFWrapper (class in transformers4rec.torch.trainer)

I

image_domain (merlin_standard_lib.proto.schema_bp.Feature attribute), [1] ImageDomain (class in merlin_standard_lib.proto.schema_bp), [1] in_environment (merlin_standard_lib.proto.schema_bp.Feature attribute), [1] include_last_offset (transformers4rec.torch.features.embedding.EmbeddingBagWrapper attribute) IncrementalLoggingCallback (class in transformers4rec.torch.trainer) index_column_names (merlin_standard_lib.proto.schema_bp.TensorRepresentationSparseTensor attribute), [1] index_feature (merlin_standard_lib.proto.schema_bp.SparseFeature attribute), [1] infinity_norm (merlin_standard_lib.proto.schema_bp.FeatureComparator attribute), [1] InfinityNorm (class in merlin_standard_lib.proto.schema_bp), [1] InputBlock (class in transformers4rec.tf.features.base) (class in transformers4rec.torch.features.base) inputs() (transformers4rec.tf.block.base.SequentialBlock property) (transformers4rec.tf.SequentialBlock property) (transformers4rec.torch.block.base.SequentialBlock property) (transformers4rec.torch.SequentialBlock property) INT (merlin_standard_lib.proto.schema_bp.FeatureType attribute), [1] INT32 (merlin_standard_lib.proto.schema_bp.TensorRepresentationRowPartitionDType attribute), [1] INT64 (merlin_standard_lib.proto.schema_bp.TensorRepresentationRowPartitionDType attribute), [1] int_domain (merlin_standard_lib.proto.schema_bp.Feature attribute), [1] int_value (merlin_standard_lib.proto.schema_bp.SequenceValueConstraints attribute), [1] (merlin_standard_lib.proto.schema_bp.TensorRepresentationDefaultValue attribute), [1] IntDomain (class in merlin_standard_lib.proto.schema_bp), [1] integer_format (merlin_standard_lib.proto.schema_bp.TimeDomain attribute), [1] (merlin_standard_lib.proto.schema_bp.TimeOfDayDomain attribute), [1] is_categorical (merlin_standard_lib.proto.schema_bp.IntDomain attribute), [1] is_embedding (merlin_standard_lib.proto.schema_bp.FloatDomain attribute), [1] is_gpu_dataloader_available() (in module transformers4rec.utils.dependencies) is_nvtabular_available() (in module transformers4rec.utils.dependencies) is_pyarrow_available() (in module transformers4rec.utils.dependencies) is_sorted (merlin_standard_lib.proto.schema_bp.SparseFeature attribute), [1]

ITEM (merlin_standard_lib.schema.tag.Tag attribute), [1] (merlin_standard_lib.Tag attribute), [1] (transformers4rec.tf.Tag attribute) (transformers4rec.torch.Tag attribute) item_embedding_table() (transformers4rec.tf.EmbeddingFeatures property) (transformers4rec.tf.features.embedding.EmbeddingFeatures property) (transformers4rec.tf.features.sequence.TabularSequenceFeatures property) (transformers4rec.tf.TabularSequenceFeatures property) (transformers4rec.torch.EmbeddingFeatures property) (transformers4rec.torch.features.embedding.EmbeddingFeatures property) (transformers4rec.torch.features.sequence.TabularSequenceFeatures property) (transformers4rec.torch.TabularSequenceFeatures property) ITEM_ID (merlin_standard_lib.schema.tag.Tag attribute), [1] (merlin_standard_lib.Tag attribute), [1] (transformers4rec.tf.Tag attribute) (transformers4rec.torch.Tag attribute) item_id() (transformers4rec.tf.features.sequence.TabularSequenceFeatures property) (transformers4rec.tf.TabularSequenceFeatures property) (transformers4rec.torch.features.sequence.TabularSequenceFeatures property) (transformers4rec.torch.TabularSequenceFeatures property) item_id_column_name() (merlin_standard_lib.Schema property), [1] (merlin_standard_lib.schema.schema.Schema property), [1] (transformers4rec.tf.Schema property) (transformers4rec.torch.Schema property) item_ids() (transformers4rec.tf.EmbeddingFeatures method) (transformers4rec.tf.features.embedding.EmbeddingFeatures method) (transformers4rec.torch.EmbeddingFeatures method) (transformers4rec.torch.features.embedding.EmbeddingFeatures method) items() (merlin_standard_lib.Registry method), [1] (merlin_standard_lib.registry.Registry method), [1]

J

jensen_shannon_divergence (merlin_standard_lib.proto.schema_bp.FeatureComparator attribute), [1]

JensenShannonDivergence (class in merlin_standard_lib.proto.schema_bp), [1]

K

keys() (merlin_standard_lib.Registry method), [1] (merlin_standard_lib.registry.Registry method), [1]

L

LabelSmoothCrossEntropyLoss (class in transformers4rec.torch) LambdaModule (class in transformers4rec.torch.utils.torch_utils) layer_repr() (in module transformers4rec.tf.utils.repr_utils) layer_repr_no_children() (in module transformers4rec.tf.utils.repr_utils) learning_rate_num_cosine_cycles_by_epoch (transformers4rec.config.trainer.T4RecTrainingArguments attribute) (transformers4rec.torch.T4RecTrainingArguments attribute) lifecycle_stage (merlin_standard_lib.proto.schema_bp.Feature attribute), [1] (merlin_standard_lib.proto.schema_bp.SparseFeature attribute), [1] (merlin_standard_lib.proto.schema_bp.WeightedFeature attribute), [1] LifecycleStage (class in merlin_standard_lib.proto.schema_bp), [1] LIST (merlin_standard_lib.schema.tag.Tag attribute), [1] (merlin_standard_lib.Tag attribute), [1] (transformers4rec.tf.Tag attribute) (transformers4rec.torch.Tag attribute) list_files() (in module transformers4rec.torch.utils.examples_utils) list_wrapper_repr() (in module transformers4rec.tf.utils.repr_utils) load_model_trainer_states_from_checkpoint() (transformers4rec.torch.Trainer method) (transformers4rec.torch.trainer.Trainer method)

location_constraint_regex (merlin_standard_lib.proto.schema_bp.NaturalLanguageDomain attribute), [1] log() (transformers4rec.torch.Trainer method) (transformers4rec.torch.trainer.Trainer method) log_predictions (transformers4rec.config.trainer.T4RecTrainingArguments attribute) (transformers4rec.torch.T4RecTrainingArguments attribute) log_predictions_callback() (transformers4rec.torch.Trainer property) (transformers4rec.torch.trainer.Trainer property) LongformerConfig (class in transformers4rec.config.transformer) (class in transformers4rec.tf) (class in transformers4rec.torch) (transformers4rec.torch.utils.torch_utils.MappingTransformerMasking attribute) lookup_feature() (transformers4rec.tf.EmbeddingFeatures method) (transformers4rec.tf.features.embedding.EmbeddingFeatures method) (transformers4rec.tf.features.sequence.SequenceEmbeddingFeatures method) (transformers4rec.tf.SequenceEmbeddingFeatures method) losses() (transformers4rec.tf.block.base.SequentialBlock property) (transformers4rec.tf.SequentialBlock property) LossMixin (class in transformers4rec.tf.utils.tf_utils) (class in transformers4rec.torch.utils.torch_utils)

M

map_column_schemas() (merlin_standard_lib.Schema method), [1] (merlin_standard_lib.schema.schema.Schema method), [1] (transformers4rec.tf.Schema method) (transformers4rec.torch.Schema method) MappingTransformerMasking (class in transformers4rec.torch.utils.torch_utils) MappingTransformerMasking.CausalLanguageModeling (class in transformers4rec.torch.utils.torch_utils) MappingTransformerMasking.MaskedLanguageModeling (class in transformers4rec.torch.utils.torch_utils) MappingTransformerMasking.PermutationLanguageModeling (class in transformers4rec.torch.utils.torch_utils) MappingTransformerMasking.ReplacementLanguageModeling (class in transformers4rec.torch.utils.torch_utils) mark_run_eagerly_modes() (in module transformers4rec.tf.utils.testing_utils) MaskedLanguageModeling (class in transformers4rec.tf.masking) (class in transformers4rec.torch.masking) masking() (transformers4rec.tf.features.sequence.TabularSequenceFeatures property) (transformers4rec.tf.TabularSequenceFeatures property) (transformers4rec.torch.features.sequence.TabularSequenceFeatures property) (transformers4rec.torch.TabularSequenceFeatures property) MaskingInfo (class in transformers4rec.tf.masking) (class in transformers4rec.torch.masking) MaskSequence (class in transformers4rec.tf.masking) (class in transformers4rec.torch.masking) max (merlin_standard_lib.proto.schema_bp.FloatDomain attribute), [1] (merlin_standard_lib.proto.schema_bp.IntDomain attribute), [1] (merlin_standard_lib.proto.schema_bp.UniqueConstraints attribute), [1] (merlin_standard_lib.proto.schema_bp.ValueCount attribute), [1] max_examples_count (merlin_standard_lib.proto.schema_bp.DatasetConstraints attribute), [1] max_fraction_of_sequences (merlin_standard_lib.proto.schema_bp.SequenceValueConstraints attribute), [1] max_fraction_threshold (merlin_standard_lib.proto.schema_bp.NumericValueComparator attribute), [1] max_image_byte_size (merlin_standard_lib.proto.schema_bp.ImageDomain attribute), [1] max_norm (transformers4rec.torch.features.embedding.EmbeddingBagWrapper attribute) max_per_sequence (merlin_standard_lib.proto.schema_bp.SequenceValueConstraints attribute), [1] max_sequence_length (merlin_standard_lib.proto.schema_bp.SequenceLengthConstraints attribute), [1] (transformers4rec.config.trainer.T4RecTrainingArguments attribute) (transformers4rec.torch.T4RecTrainingArguments attribute) maybe_deserialize_keras_objects() (in module transformers4rec.tf.utils.tf_utils) maybe_serialize_keras_objects() (in module transformers4rec.tf.utils.tf_utils) MegatronBertConfig (transformers4rec.torch.utils.torch_utils.MappingTransformerMasking attribute) merge() (transformers4rec.tf.TabularBlock method) (transformers4rec.torch.TabularModule method) merge_values() (transformers4rec.tf.MergeTabular property) (transformers4rec.torch.MergeTabular property) MergeTabular (class in transformers4rec.tf) (class in transformers4rec.torch) merlin_standard_lib module, [1] merlin_standard_lib.proto module, [1] merlin_standard_lib.proto.schema_bp module, [1] merlin_standard_lib.registry module, [1] merlin_standard_lib.schema module, [1] merlin_standard_lib.schema.schema module, [1] merlin_standard_lib.schema.tag module, [1] merlin_standard_lib.utils module, [1] merlin_standard_lib.utils.doc_utils module, [1] merlin_standard_lib.utils.embedding_utils module, [1] merlin_standard_lib.utils.misc_utils module, [1] merlin_standard_lib.utils.proto_utils module, [1] metadata() (merlin_standard_lib.proto.schema_bp.Annotation property), [1] metric_name() (transformers4rec.torch.PredictionTask method) metric_results() (transformers4rec.tf.Head method) (transformers4rec.tf.Model method) (transformers4rec.tf.model.prediction_task.NextItemPredictionTask method) (transformers4rec.tf.NextItemPredictionTask method) (transformers4rec.tf.PredictionTask method) (transformers4rec.tf.utils.tf_utils.MetricsMixin method) metrics() (transformers4rec.tf.Head property) MetricsMixin (class in transformers4rec.tf.utils.tf_utils) (class in transformers4rec.torch.utils.torch_utils) mid_domain (merlin_standard_lib.proto.schema_bp.Feature attribute), [1] MIDDomain (class in merlin_standard_lib.proto.schema_bp), [1] min (merlin_standard_lib.proto.schema_bp.FloatDomain attribute), [1] (merlin_standard_lib.proto.schema_bp.IntDomain attribute), [1] (merlin_standard_lib.proto.schema_bp.UniqueConstraints attribute), [1] (merlin_standard_lib.proto.schema_bp.ValueCount attribute), [1] min_avg_token_length (merlin_standard_lib.proto.schema_bp.FeatureCoverageConstraints attribute), [1] min_count (merlin_standard_lib.proto.schema_bp.FeaturePresence attribute), [1] min_coverage (merlin_standard_lib.proto.schema_bp.FeatureCoverageConstraints attribute), [1] min_domain_mass (merlin_standard_lib.proto.schema_bp.DistributionConstraints attribute), [1] min_examples_count (merlin_standard_lib.proto.schema_bp.DatasetConstraints attribute), [1] min_fraction (merlin_standard_lib.proto.schema_bp.FeaturePresence attribute), [1] min_fraction_of_sequences (merlin_standard_lib.proto.schema_bp.SequenceValueConstraints attribute), [1] min_fraction_threshold (merlin_standard_lib.proto.schema_bp.NumericValueComparator attribute), [1]

min_per_sequence (merlin_standard_lib.proto.schema_bp.SequenceValueConstraints attribute), [1] min_sequence_length (merlin_standard_lib.proto.schema_bp.SequenceLengthConstraints attribute), [1] minimum_supported_image_fraction (merlin_standard_lib.proto.schema_bp.ImageDomain attribute), [1] MLPBlock (class in transformers4rec.tf) (class in transformers4rec.tf.block.mlp) (class in transformers4rec.torch) (class in transformers4rec.torch.block.mlp) mode (transformers4rec.torch.features.embedding.EmbeddingBagWrapper attribute) Model (class in transformers4rec.tf) (class in transformers4rec.torch) module merlin_standard_lib, [1] merlin_standard_lib.proto, [1] merlin_standard_lib.proto.schema_bp, [1] merlin_standard_lib.registry, [1] merlin_standard_lib.schema, [1] merlin_standard_lib.schema.schema, [1] merlin_standard_lib.schema.tag, [1] merlin_standard_lib.utils, [1] merlin_standard_lib.utils.doc_utils, [1] merlin_standard_lib.utils.embedding_utils, [1] merlin_standard_lib.utils.misc_utils, [1] merlin_standard_lib.utils.proto_utils, [1] transformers4rec transformers4rec.config transformers4rec.config.schema transformers4rec.config.trainer transformers4rec.config.transformer transformers4rec.tf transformers4rec.tf.block transformers4rec.tf.block.base transformers4rec.tf.block.dlrm transformers4rec.tf.block.mlp transformers4rec.tf.block.transformer transformers4rec.tf.features transformers4rec.tf.features.base transformers4rec.tf.features.continuous transformers4rec.tf.features.embedding transformers4rec.tf.features.sequence transformers4rec.tf.features.tabular transformers4rec.tf.features.text transformers4rec.tf.layers transformers4rec.tf.layers.interaction transformers4rec.tf.layers.outer_product transformers4rec.tf.masking transformers4rec.tf.model transformers4rec.tf.model.prediction_task transformers4rec.tf.ranking_metric transformers4rec.tf.tabular transformers4rec.tf.tabular.aggregation transformers4rec.tf.tabular.transformations transformers4rec.tf.typing transformers4rec.tf.utils transformers4rec.tf.utils.repr_utils transformers4rec.tf.utils.schema_utils transformers4rec.tf.utils.testing_utils transformers4rec.tf.utils.tf_utils transformers4rec.torch transformers4rec.torch.block transformers4rec.torch.block.base transformers4rec.torch.block.mlp transformers4rec.torch.block.transformer transformers4rec.torch.features transformers4rec.torch.features.base transformers4rec.torch.features.continuous transformers4rec.torch.features.embedding transformers4rec.torch.features.sequence transformers4rec.torch.features.tabular transformers4rec.torch.features.text transformers4rec.torch.masking transformers4rec.torch.model transformers4rec.torch.model.prediction_task transformers4rec.torch.ranking_metric transformers4rec.torch.tabular transformers4rec.torch.tabular.aggregation transformers4rec.torch.tabular.transformations transformers4rec.torch.trainer transformers4rec.torch.typing transformers4rec.torch.utils transformers4rec.torch.utils.data_utils transformers4rec.torch.utils.examples_utils transformers4rec.torch.utils.schema_utils transformers4rec.torch.utils.torch_utils transformers4rec.types transformers4rec.utils transformers4rec.utils.dependencies MPNetConfig (transformers4rec.torch.utils.torch_utils.MappingTransformerMasking attribute) MULTI_CLASS_CLASSIFICATION (merlin_standard_lib.schema.tag.Tag attribute), [1] (merlin_standard_lib.Tag attribute), [1] (transformers4rec.tf.Tag attribute) (transformers4rec.torch.Tag attribute)

N

name (merlin_standard_lib.proto.schema_bp.BoolDomain attribute), [1] (merlin_standard_lib.proto.schema_bp.Feature attribute), [1] (merlin_standard_lib.proto.schema_bp.FixedShapeDim attribute), [1] (merlin_standard_lib.proto.schema_bp.FloatDomain attribute), [1] (merlin_standard_lib.proto.schema_bp.IntDomain attribute), [1] (merlin_standard_lib.proto.schema_bp.SparseFeature attribute), [1] (merlin_standard_lib.proto.schema_bp.SparseFeatureIndexFeature attribute), [1] (merlin_standard_lib.proto.schema_bp.SparseFeatureValueFeature attribute), [1] (merlin_standard_lib.proto.schema_bp.StringDomain attribute), [1] (merlin_standard_lib.proto.schema_bp.WeightedFeature attribute), [1] name() (merlin_standard_lib.Registry property), [1] (merlin_standard_lib.registry.Registry property), [1] name_fn() (in module transformers4rec.tf.model.prediction_task) natural_language_domain (merlin_standard_lib.proto.schema_bp.Feature attribute), [1] NaturalLanguageDomain (class in merlin_standard_lib.proto.schema_bp), [1] NDCGAt (class in transformers4rec.tf.ranking_metric) (class in transformers4rec.torch.ranking_metric)

NextItemPredictionPrepareBlock (class in transformers4rec.torch.model.prediction_task) NextItemPredictionTask (class in transformers4rec.tf) (class in transformers4rec.tf.model.prediction_task) (class in transformers4rec.torch) (class in transformers4rec.torch.model.prediction_task) non_trainable_weights() (transformers4rec.tf.block.base.SequentialBlock property) (transformers4rec.tf.SequentialBlock property) norm_type (transformers4rec.torch.features.embedding.EmbeddingBagWrapper attribute) not_in_environment (merlin_standard_lib.proto.schema_bp.Feature attribute), [1] num_embeddings (transformers4rec.torch.features.embedding.EmbeddingBagWrapper attribute) num_examples() (transformers4rec.torch.Trainer method) (transformers4rec.torch.trainer.Trainer method) num_examples_drift_comparator (merlin_standard_lib.proto.schema_bp.DatasetConstraints attribute), [1] num_examples_version_comparator (merlin_standard_lib.proto.schema_bp.DatasetConstraints attribute), [1] num_workers (transformers4rec.torch.utils.data_utils.PyarrowDataLoader attribute) NumericValueComparator (class in merlin_standard_lib.proto.schema_bp), [1]

O

on_epoch_end() (transformers4rec.torch.trainer.IncrementalLoggingCallback method) on_set() (merlin_standard_lib.Registry method), [1] (merlin_standard_lib.registry.Registry method), [1] on_train_begin() (transformers4rec.torch.trainer.IncrementalLoggingCallback method) on_train_end() (transformers4rec.torch.trainer.IncrementalLoggingCallback method) one_hot_1d() (in module transformers4rec.torch.utils.torch_utils)

oov_string_tokens (merlin_standard_lib.proto.schema_bp.FeatureCoverageConstraints attribute), [1] output_dir (transformers4rec.config.trainer.T4RecTrainingArgumentsTF attribute) (transformers4rec.tf.T4RecTrainingArgumentsTF attribute) (transformers4rec.torch.T4RecTrainingArguments attribute) output_size() (transformers4rec.torch.TabularBlock method) (transformers4rec.torch.utils.torch_utils.OutputSizeMixin method) OutputSizeMixin (class in transformers4rec.torch.utils.torch_utils)

P

PACKED_64_NANOS (merlin_standard_lib.proto.schema_bp.TimeOfDayDomainIntegerTimeOfDayFormat attribute), [1] pad_seq_column_if_needed() (transformers4rec.torch.utils.data_utils.ParquetDataset method) padding_idx (transformers4rec.torch.features.embedding.EmbeddingBagWrapper attribute) ParquetDataset (class in transformers4rec.torch.utils.data_utils) parse() (merlin_standard_lib.Registry method), [1] (merlin_standard_lib.registry.Registry method), [1] (merlin_standard_lib.registry.RegistryMixin class method), [1] (merlin_standard_lib.RegistryMixin class method), [1] (transformers4rec.torch.TabularAggregation class method) (transformers4rec.torch.TabularTransformation class method) (transformers4rec.torch.utils.data_utils.T4RecDataLoader class method) ParseTokenizedText (class in transformers4rec.tf.features.text) partition (merlin_standard_lib.proto.schema_bp.TensorRepresentationRaggedTensor attribute), [1] Path (class in merlin_standard_lib.proto.schema_bp), [1] PermutationLanguageModeling (class in transformers4rec.torch.masking) pin_memory (transformers4rec.torch.utils.data_utils.PyarrowDataLoader attribute) place_model_on_device() (transformers4rec.config.trainer.T4RecTrainingArguments property) (transformers4rec.torch.T4RecTrainingArguments property) PLANNED (merlin_standard_lib.proto.schema_bp.LifecycleStage attribute), [1] pop_labels() (transformers4rec.tf.Head method) (transformers4rec.torch.Head method) post() (transformers4rec.tf.TabularBlock property) (transformers4rec.torch.TabularModule property) post_call() (transformers4rec.tf.TabularBlock method) post_forward() (transformers4rec.torch.TabularModule method) pre() (transformers4rec.tf.TabularBlock property) (transformers4rec.torch.TabularModule property) pre_call() (transformers4rec.tf.TabularBlock method) pre_forward() (transformers4rec.torch.TabularModule method)

PrecisionAt (class in transformers4rec.tf.ranking_metric) (class in transformers4rec.torch.ranking_metric) predict_all() (transformers4rec.tf.masking.MaskSequence method) (transformers4rec.torch.masking.MaskSequence method) predict_top_k (transformers4rec.config.trainer.T4RecTrainingArguments attribute) (transformers4rec.torch.T4RecTrainingArguments attribute) prediction_step() (transformers4rec.torch.Trainer method) (transformers4rec.torch.trainer.Trainer method) PredictionTask (class in transformers4rec.tf) (class in transformers4rec.torch) prefetch_factor (transformers4rec.torch.utils.data_utils.PyarrowDataLoader attribute) prepare_module (transformers4rec.tf.block.transformer.TransformerBlock attribute) (transformers4rec.torch.block.transformer.TransformerBlock attribute) presence (merlin_standard_lib.proto.schema_bp.Feature attribute), [1] (merlin_standard_lib.proto.schema_bp.SparseFeature attribute), [1] process_metrics() (in module transformers4rec.torch.trainer) PRODUCTION (merlin_standard_lib.proto.schema_bp.LifecycleStage attribute), [1] project_continuous_features() (transformers4rec.tf.features.sequence.TabularSequenceFeatures method) (transformers4rec.tf.features.tabular.TabularFeatures method) (transformers4rec.tf.TabularFeatures method) (transformers4rec.tf.TabularSequenceFeatures method) (transformers4rec.torch.features.sequence.TabularSequenceFeatures method) (transformers4rec.torch.features.tabular.TabularFeatures method) (transformers4rec.torch.TabularFeatures method) (transformers4rec.torch.TabularSequenceFeatures method) properties() (merlin_standard_lib.ColumnSchema property), [1] (merlin_standard_lib.schema.schema.ColumnSchema property), [1] proto_text_to_better_proto() (in module merlin_standard_lib.utils.proto_utils), [1] PyarrowDataLoader (class in transformers4rec.torch.utils.data_utils)

R

ragged_tensor (merlin_standard_lib.proto.schema_bp.TensorRepresentation attribute), [1] random_data_from_schema() (in module transformers4rec.tf.utils.schema_utils) (in module transformers4rec.torch.utils.schema_utils) RankingMetric (class in transformers4rec.tf.ranking_metric) (class in transformers4rec.torch.ranking_metric) RecallAt (class in transformers4rec.tf.ranking_metric) (class in transformers4rec.torch.ranking_metric) reduction (transformers4rec.torch.LabelSmoothCrossEntropyLoss attribute) ReformerConfig (class in transformers4rec.config.transformer) (class in transformers4rec.tf) (class in transformers4rec.torch) register() (merlin_standard_lib.Registry method), [1] (merlin_standard_lib.registry.Registry method), [1] register_with_multiple_names() (merlin_standard_lib.Registry method), [1] (merlin_standard_lib.registry.Registry method), [1] Registry (class in merlin_standard_lib), [1] (class in merlin_standard_lib.registry), [1] registry() (merlin_standard_lib.registry.RegistryMixin class method), [1] (merlin_standard_lib.RegistryMixin class method), [1] RegistryMixin (class in merlin_standard_lib), [1] (class in merlin_standard_lib.registry), [1] REGRESSION (merlin_standard_lib.schema.tag.Tag attribute), [1] (merlin_standard_lib.Tag attribute), [1] (transformers4rec.tf.Tag attribute) (transformers4rec.torch.Tag attribute) RegressionPrepareBlock (class in transformers4rec.torch.model.prediction_task) RegressionTask (class in transformers4rec.tf) (class in transformers4rec.tf.model.prediction_task) (class in transformers4rec.torch) (class in transformers4rec.torch.model.prediction_task) regularizers() (transformers4rec.tf.block.base.SequentialBlock property) (transformers4rec.tf.SequentialBlock property) remove_by_name() (merlin_standard_lib.Schema method), [1] (merlin_standard_lib.schema.schema.Schema method), [1] (transformers4rec.tf.Schema method) (transformers4rec.torch.Schema method) remove_by_tag() (merlin_standard_lib.Schema method), [1] (merlin_standard_lib.schema.schema.Schema method), [1] (transformers4rec.tf.Schema method) (transformers4rec.torch.Schema method) remove_by_type() (merlin_standard_lib.Schema method), [1] (merlin_standard_lib.schema.schema.Schema method), [1] (transformers4rec.tf.Schema method) (transformers4rec.torch.Schema method)

remove_pad_3d() (transformers4rec.tf.model.prediction_task.NextItemPredictionTask method) (transformers4rec.tf.NextItemPredictionTask method) (transformers4rec.torch.model.prediction_task.NextItemPredictionTask method) (transformers4rec.torch.NextItemPredictionTask method) ReplacementLanguageModeling (class in transformers4rec.torch.masking) repr_add() (transformers4rec.tf.PredictionTask method) (transformers4rec.tf.TabularBlock method) repr_extra() (transformers4rec.tf.ContinuousFeatures method) (transformers4rec.tf.features.continuous.ContinuousFeatures method) (transformers4rec.tf.TabularBlock method) repr_ignore() (transformers4rec.tf.ContinuousFeatures method) (transformers4rec.tf.features.continuous.ContinuousFeatures method) (transformers4rec.tf.TabularBlock method) required (merlin_standard_lib.proto.schema_bp.FeaturePresenceWithinGroup attribute), [1] REQUIRES_SCHEMA (transformers4rec.config.schema.SchemaMixin attribute) (transformers4rec.tf.ElementwiseSumItemMulti attribute) (transformers4rec.tf.tabular.aggregation.ElementwiseSumItemMulti attribute) (transformers4rec.torch.ElementwiseSumItemMulti attribute) (transformers4rec.torch.tabular.aggregation.ElementwiseSumItemMulti attribute) requires_schema() (in module transformers4rec.config.schema) (in module transformers4rec.tf) (in module transformers4rec.torch) (in module transformers4rec.torch.utils.torch_utils) reset_lr_scheduler() (transformers4rec.torch.Trainer method) (transformers4rec.torch.trainer.Trainer method) reset_metrics() (transformers4rec.tf.Head method) (transformers4rec.tf.PredictionTask method) (transformers4rec.tf.utils.tf_utils.MetricsMixin method) (transformers4rec.torch.Head method) (transformers4rec.torch.Model method) (transformers4rec.torch.PredictionTask method) (transformers4rec.torch.utils.torch_utils.MetricsMixin method) reset_state() (transformers4rec.tf.ranking_metric.RankingMetric method) result() (transformers4rec.tf.ranking_metric.RankingMetric method) right_shift_block() (in module transformers4rec.torch) (in module transformers4rec.torch.block.base) right_shift_layer() (in module transformers4rec.tf) (in module transformers4rec.tf.block.base) RobertaConfig (class in transformers4rec.config.transformer) (transformers4rec.torch.utils.torch_utils.MappingTransformerMasking attribute) RoFormerConfig (transformers4rec.torch.utils.torch_utils.MappingTransformerMasking attribute) row_length (merlin_standard_lib.proto.schema_bp.TensorRepresentationRaggedTensorPartition attribute), [1] row_partition_dtype (merlin_standard_lib.proto.schema_bp.TensorRepresentationRaggedTensor attribute), [1]

S

safe_json() (in module merlin_standard_lib.utils.misc_utils), [1] sample_from_softmax() (transformers4rec.torch.masking.ReplacementLanguageModeling method) (transformers4rec.torch.utils.torch_utils.MappingTransformerMasking.ReplacementLanguageModeling method) sampler (transformers4rec.torch.utils.data_utils.PyarrowDataLoader attribute) scale_grad_by_freq (transformers4rec.torch.features.embedding.EmbeddingBagWrapper attribute) Schema (class in merlin_standard_lib), [1] (class in merlin_standard_lib.schema.schema), [1] (class in transformers4rec.tf) (class in transformers4rec.torch) schema (transformers4rec.tf.masking.MaskingInfo attribute) (transformers4rec.torch.masking.MaskingInfo attribute) schema() (transformers4rec.config.schema.SchemaMixin property) SchemaMixin (class in transformers4rec.config.schema) select_by_name() (merlin_standard_lib.Schema method), [1] (merlin_standard_lib.schema.schema.Schema method), [1] (transformers4rec.tf.Schema method) (transformers4rec.torch.Schema method) select_by_tag() (merlin_standard_lib.Schema method), [1] (merlin_standard_lib.schema.schema.Schema method), [1] (transformers4rec.tf.Schema method) (transformers4rec.torch.Schema method) select_by_type() (merlin_standard_lib.Schema method), [1] (merlin_standard_lib.schema.schema.Schema method), [1] (transformers4rec.tf.Schema method) (transformers4rec.torch.Schema method) sequence_length_constraints (merlin_standard_lib.proto.schema_bp.NaturalLanguageDomain attribute), [1] SequenceEmbeddingFeatures (class in transformers4rec.tf) (class in transformers4rec.tf.features.sequence) (class in transformers4rec.torch) (class in transformers4rec.torch.features.sequence) SequenceLengthConstraints (class in merlin_standard_lib.proto.schema_bp), [1] SequenceValueConstraints (class in merlin_standard_lib.proto.schema_bp), [1] SequentialBlock (class in transformers4rec.tf) (class in transformers4rec.tf.block.base) (class in transformers4rec.torch) (class in transformers4rec.torch.block.base) SequentialTabularTransformations (class in transformers4rec.torch) serialize_feature_config() (in module transformers4rec.tf.features.embedding) serialize_table_config() (in module transformers4rec.tf.features.embedding) SESSION (merlin_standard_lib.schema.tag.Tag attribute), [1] (merlin_standard_lib.Tag attribute), [1] (transformers4rec.tf.Tag attribute) (transformers4rec.torch.Tag attribute) SESSION_ID (merlin_standard_lib.schema.tag.Tag attribute), [1] (merlin_standard_lib.Tag attribute), [1] (transformers4rec.tf.Tag attribute) (transformers4rec.torch.Tag attribute) set_aggregation() (transformers4rec.tf.TabularBlock method) set_dataset() (transformers4rec.torch.utils.data_utils.PyarrowDataLoader method) (transformers4rec.torch.utils.data_utils.T4RecDataLoader method)

set_masking() (transformers4rec.tf.features.sequence.TabularSequenceFeatures method) (transformers4rec.tf.TabularSequenceFeatures method) (transformers4rec.torch.features.sequence.TabularSequenceFeatures method) (transformers4rec.torch.TabularSequenceFeatures method) set_metrics() (transformers4rec.torch.PredictionTask method) set_post() (transformers4rec.tf.TabularBlock method) set_pre() (transformers4rec.tf.TabularBlock method) set_schema() (transformers4rec.config.schema.SchemaMixin method) (transformers4rec.tf.block.base.SequentialBlock method) (transformers4rec.tf.SequentialBlock method) (transformers4rec.tf.TabularBlock method) shape (merlin_standard_lib.proto.schema_bp.Feature attribute), [1] (merlin_standard_lib.proto.schema_bp.TensorRepresentationDenseTensor attribute), [1] shuffle_buffer_size (transformers4rec.config.trainer.T4RecTrainingArguments attribute) (transformers4rec.torch.T4RecTrainingArguments attribute) ShuffleDataset (class in transformers4rec.torch.utils.data_utils) size (merlin_standard_lib.proto.schema_bp.FixedShapeDim attribute), [1] skew_comparator (merlin_standard_lib.proto.schema_bp.Feature attribute), [1] snakecase_to_camelcase() (in module merlin_standard_lib.registry), [1] SOFT_EMBEDDING_MODULE_CLASS (transformers4rec.torch.features.tabular.TabularFeatures attribute) (transformers4rec.torch.TabularFeatures attribute) SoftEmbedding (class in transformers4rec.torch) (class in transformers4rec.torch.features.embedding) SoftEmbeddingFeatures (class in transformers4rec.torch) (class in transformers4rec.torch.features.embedding) sparse (transformers4rec.torch.features.embedding.EmbeddingBagWrapper attribute) sparse_feature (merlin_standard_lib.proto.schema_bp.StructDomain attribute), [1] sparse_tensor (merlin_standard_lib.proto.schema_bp.TensorRepresentation attribute), [1] SparseFeature (class in merlin_standard_lib.proto.schema_bp), [1] SparseFeatureIndexFeature (class in merlin_standard_lib.proto.schema_bp), [1] SparseFeatureValueFeature (class in merlin_standard_lib.proto.schema_bp), [1] StackFeatures (class in transformers4rec.tf) (class in transformers4rec.tf.tabular.aggregation) (class in transformers4rec.torch) (class in transformers4rec.torch.tabular.aggregation) step (merlin_standard_lib.proto.schema_bp.Path attribute), [1] StochasticSwapNoise (class in transformers4rec.tf) (class in transformers4rec.tf.tabular.transformations) (class in transformers4rec.torch) (class in transformers4rec.torch.tabular.transformations) string_domain (merlin_standard_lib.proto.schema_bp.Feature attribute), [1] string_format (merlin_standard_lib.proto.schema_bp.TimeDomain attribute), [1] (merlin_standard_lib.proto.schema_bp.TimeOfDayDomain attribute), [1] string_value (merlin_standard_lib.proto.schema_bp.SequenceValueConstraints attribute), [1] StringDomain (class in merlin_standard_lib.proto.schema_bp), [1] STRUCT (merlin_standard_lib.proto.schema_bp.FeatureType attribute), [1] struct_domain (merlin_standard_lib.proto.schema_bp.Feature attribute), [1] StructDomain (class in merlin_standard_lib.proto.schema_bp), [1]

T

T4RecConfig (class in transformers4rec.config.transformer) (class in transformers4rec.tf) (class in transformers4rec.torch) T4RecDataLoader (class in transformers4rec.torch.utils.data_utils) T4RecTrainingArguments (class in transformers4rec.config.trainer) (class in transformers4rec.torch) T4RecTrainingArgumentsTF (class in transformers4rec.config.trainer) (class in transformers4rec.tf) table_to_embedding_module() (transformers4rec.torch.EmbeddingFeatures method) (transformers4rec.torch.features.embedding.EmbeddingFeatures method) (transformers4rec.torch.features.embedding.SoftEmbeddingFeatures method) (transformers4rec.torch.features.sequence.SequenceEmbeddingFeatures method) (transformers4rec.torch.SequenceEmbeddingFeatures method) (transformers4rec.torch.SoftEmbeddingFeatures method) TableConfig (class in transformers4rec.tf) (class in transformers4rec.torch) (class in transformers4rec.torch.features.embedding) TabularAggregation (class in transformers4rec.torch) TabularBlock (class in transformers4rec.tf) (class in transformers4rec.torch) TabularDropout (class in transformers4rec.torch) (class in transformers4rec.torch.tabular.transformations) TabularFeatures (class in transformers4rec.tf) (class in transformers4rec.tf.features.tabular) (class in transformers4rec.torch) (class in transformers4rec.torch.features.tabular) TabularLayerNorm (class in transformers4rec.torch) (class in transformers4rec.torch.tabular.transformations) TabularModule (class in transformers4rec.torch) TabularSequenceFeatures (class in transformers4rec.tf) (class in transformers4rec.tf.features.sequence) (class in transformers4rec.torch) (class in transformers4rec.torch.features.sequence) TabularTransformation (class in transformers4rec.torch) Tag (class in merlin_standard_lib), [1] (class in merlin_standard_lib.schema.tag), [1] (class in transformers4rec.tf) (class in transformers4rec.torch) tag (merlin_standard_lib.proto.schema_bp.Annotation attribute), [1] tags() (merlin_standard_lib.ColumnSchema property), [1] (merlin_standard_lib.schema.schema.ColumnSchema property), [1] TARGETS (merlin_standard_lib.schema.tag.Tag attribute), [1] (merlin_standard_lib.Tag attribute), [1] targets (transformers4rec.tf.masking.MaskingInfo attribute) TARGETS (transformers4rec.tf.Tag attribute) targets (transformers4rec.torch.masking.MaskingInfo attribute) TARGETS (transformers4rec.torch.Tag attribute) task_blocks() (transformers4rec.tf.Head property) (transformers4rec.torch.Head property) task_name() (transformers4rec.tf.PredictionTask property) (transformers4rec.torch.PredictionTask property) tensor_representation (merlin_standard_lib.proto.schema_bp.TensorRepresentationGroup attribute), [1] TensorRepresentation (class in merlin_standard_lib.proto.schema_bp), [1] TensorRepresentationDefaultValue (class in merlin_standard_lib.proto.schema_bp), [1] TensorRepresentationDenseTensor (class in merlin_standard_lib.proto.schema_bp), [1] TensorRepresentationGroup (class in merlin_standard_lib.proto.schema_bp), [1] TensorRepresentationRaggedTensor (class in merlin_standard_lib.proto.schema_bp), [1] TensorRepresentationRaggedTensorPartition (class in merlin_standard_lib.proto.schema_bp), [1] TensorRepresentationRowPartitionDType (class in merlin_standard_lib.proto.schema_bp), [1] TensorRepresentationSparseTensor (class in merlin_standard_lib.proto.schema_bp), [1] TensorRepresentationVarLenSparseTensor (class in merlin_standard_lib.proto.schema_bp), [1] TEXT (merlin_standard_lib.schema.tag.Tag attribute), [1] (merlin_standard_lib.Tag attribute), [1] (transformers4rec.tf.Tag attribute) (transformers4rec.torch.Tag attribute) text_embedding_layer() (transformers4rec.tf.features.tabular.TabularFeatures property) (transformers4rec.tf.TabularFeatures property) TEXT_TOKENIZED (merlin_standard_lib.schema.tag.Tag attribute), [1] (merlin_standard_lib.Tag attribute), [1] (transformers4rec.tf.Tag attribute) (transformers4rec.torch.Tag attribute) TextEmbeddingFeaturesWithTransformers (class in transformers4rec.tf) (class in transformers4rec.tf.features.text) threshold (merlin_standard_lib.proto.schema_bp.InfinityNorm attribute), [1] (merlin_standard_lib.proto.schema_bp.JensenShannonDivergence attribute), [1] TIME (merlin_standard_lib.schema.tag.Tag attribute), [1] (merlin_standard_lib.Tag attribute), [1] (transformers4rec.tf.Tag attribute) (transformers4rec.torch.Tag attribute) time_domain (merlin_standard_lib.proto.schema_bp.Feature attribute), [1] time_of_day_domain (merlin_standard_lib.proto.schema_bp.Feature attribute), [1] TimeDomain (class in merlin_standard_lib.proto.schema_bp), [1] TimeDomainIntegerTimeFormat (class in merlin_standard_lib.proto.schema_bp), [1] TimeOfDayDomain (class in merlin_standard_lib.proto.schema_bp), [1] TimeOfDayDomainIntegerTimeOfDayFormat (class in merlin_standard_lib.proto.schema_bp), [1] timeout (transformers4rec.torch.utils.data_utils.PyarrowDataLoader attribute) Timing (class in merlin_standard_lib.utils.misc_utils), [1] to_head() (transformers4rec.tf.PredictionTask method) (transformers4rec.torch.PredictionTask method) to_huggingface_tf_model() (transformers4rec.config.transformer.T4RecConfig method) (transformers4rec.tf.T4RecConfig method) (transformers4rec.torch.T4RecConfig method) to_huggingface_torch_model() (transformers4rec.config.transformer.T4RecConfig method) (transformers4rec.tf.T4RecConfig method) (transformers4rec.torch.T4RecConfig method) to_lightning() (transformers4rec.torch.Model method) to_merge_dict() (transformers4rec.tf.MergeTabular property) to_model() (transformers4rec.tf.Block method) (transformers4rec.tf.block.base.Block method) (transformers4rec.tf.PredictionTask method) (transformers4rec.torch.block.base.BlockBase method) (transformers4rec.torch.BlockBase method) (transformers4rec.torch.Head method) (transformers4rec.torch.PredictionTask method) to_module() (transformers4rec.torch.block.base.BuildableBlock method) (transformers4rec.torch.TabularBlock method) to_proto_text() (merlin_standard_lib.ColumnSchema method), [1] (merlin_standard_lib.Schema method), [1] (merlin_standard_lib.schema.schema.ColumnSchema method), [1] (merlin_standard_lib.schema.schema.Schema method), [1] (transformers4rec.tf.Schema method) (transformers4rec.torch.Schema method) to_tf_model() (transformers4rec.config.transformer.T4RecConfig method) (transformers4rec.tf.T4RecConfig method) (transformers4rec.torch.T4RecConfig method) to_torch_model() (transformers4rec.config.transformer.T4RecConfig method) (transformers4rec.tf.T4RecConfig method) (transformers4rec.torch.T4RecConfig method) token_constraints (merlin_standard_lib.proto.schema_bp.NaturalLanguageDomain attribute), [1] trainable() (transformers4rec.tf.block.base.SequentialBlock property) (transformers4rec.tf.SequentialBlock property) trainable_weights() (transformers4rec.tf.block.base.SequentialBlock property) (transformers4rec.tf.SequentialBlock property) Trainer (class in transformers4rec.torch) (class in transformers4rec.torch.trainer) training (transformers4rec.torch.BinaryClassificationTask attribute) (transformers4rec.torch.block.transformer.GPT2Prepare attribute) (transformers4rec.torch.block.transformer.TransformerBlock attribute) (transformers4rec.torch.block.transformer.TransformerPrepare attribute) (transformers4rec.torch.features.embedding.SoftEmbedding attribute) (transformers4rec.torch.Head attribute) (transformers4rec.torch.Model attribute) (transformers4rec.torch.model.prediction_task.BinaryClassificationTask attribute) (transformers4rec.torch.model.prediction_task.NextItemPredictionTask attribute) (transformers4rec.torch.model.prediction_task.RegressionTask attribute) (transformers4rec.torch.NextItemPredictionTask attribute) (transformers4rec.torch.PredictionTask attribute) (transformers4rec.torch.ranking_metric.AvgPrecisionAt attribute) (transformers4rec.torch.ranking_metric.DCGAt attribute) (transformers4rec.torch.ranking_metric.NDCGAt attribute) (transformers4rec.torch.ranking_metric.PrecisionAt attribute) (transformers4rec.torch.ranking_metric.RankingMetric attribute) (transformers4rec.torch.ranking_metric.RecallAt attribute) (transformers4rec.torch.RegressionTask attribute) (transformers4rec.torch.SoftEmbedding attribute) (transformers4rec.torch.tabular.aggregation.ElementwiseSumItemMulti attribute) (transformers4rec.torch.TabularModule attribute) (transformers4rec.torch.trainer.HFWrapper attribute) (transformers4rec.torch.utils.torch_utils.LambdaModule attribute) tranform_label_to_onehot() (in module transformers4rec.tf.utils.tf_utils) (in module transformers4rec.torch.utils.torch_utils) transformer (transformers4rec.tf.block.transformer.TransformerBlock attribute) (transformers4rec.torch.block.transformer.TransformerBlock attribute)

transformer_arguments() (transformers4rec.tf.masking.MaskSequence property) (transformers4rec.torch.masking.MaskSequence property) transformer_optional_arguments() (transformers4rec.tf.masking.MaskSequence method) (transformers4rec.torch.masking.MaskSequence method) transformer_required_arguments() (transformers4rec.tf.masking.MaskSequence method) (transformers4rec.torch.masking.MaskSequence method) (transformers4rec.torch.masking.PermutationLanguageModeling method) (transformers4rec.torch.utils.torch_utils.MappingTransformerMasking.PermutationLanguageModeling method) TRANSFORMER_TO_PREPARE (transformers4rec.tf.block.transformer.TransformerBlock attribute) (transformers4rec.tf.TransformerBlock attribute) (transformers4rec.torch.block.transformer.TransformerBlock attribute) (transformers4rec.torch.TransformerBlock attribute) TransformerBlock (class in transformers4rec.tf) (class in transformers4rec.tf.block.transformer) (class in transformers4rec.torch) (class in transformers4rec.torch.block.transformer) TransformerPrepare (class in transformers4rec.tf.block.transformer) (class in transformers4rec.torch.block.transformer) transformers4rec module transformers4rec.config module transformers4rec.config.schema module transformers4rec.config.trainer module transformers4rec.config.transformer module transformers4rec.tf module transformers4rec.tf.block module transformers4rec.tf.block.base module transformers4rec.tf.block.dlrm module transformers4rec.tf.block.mlp module transformers4rec.tf.block.transformer module transformers4rec.tf.features module transformers4rec.tf.features.base module transformers4rec.tf.features.continuous module transformers4rec.tf.features.embedding module transformers4rec.tf.features.sequence module transformers4rec.tf.features.tabular module transformers4rec.tf.features.text module transformers4rec.tf.layers module transformers4rec.tf.layers.interaction module transformers4rec.tf.layers.outer_product module transformers4rec.tf.masking module transformers4rec.tf.model module transformers4rec.tf.model.prediction_task module transformers4rec.tf.ranking_metric module transformers4rec.tf.tabular module transformers4rec.tf.tabular.aggregation module transformers4rec.tf.tabular.transformations module transformers4rec.tf.typing module transformers4rec.tf.utils module transformers4rec.tf.utils.repr_utils module transformers4rec.tf.utils.schema_utils module transformers4rec.tf.utils.testing_utils module transformers4rec.tf.utils.tf_utils module transformers4rec.torch module transformers4rec.torch.block module transformers4rec.torch.block.base module transformers4rec.torch.block.mlp module transformers4rec.torch.block.transformer module transformers4rec.torch.features module transformers4rec.torch.features.base module transformers4rec.torch.features.continuous module transformers4rec.torch.features.embedding module transformers4rec.torch.features.sequence module transformers4rec.torch.features.tabular module transformers4rec.torch.features.text module transformers4rec.torch.masking module transformers4rec.torch.model module transformers4rec.torch.model.prediction_task module transformers4rec.torch.ranking_metric module transformers4rec.torch.tabular module transformers4rec.torch.tabular.aggregation module transformers4rec.torch.tabular.transformations module transformers4rec.torch.trainer module transformers4rec.torch.typing module transformers4rec.torch.utils module transformers4rec.torch.utils.data_utils module transformers4rec.torch.utils.examples_utils module transformers4rec.torch.utils.schema_utils module transformers4rec.torch.utils.torch_utils module transformers4rec.types module transformers4rec.utils module transformers4rec.utils.dependencies module transformers_config_cls() (transformers4rec.config.transformer.T4RecConfig property) (transformers4rec.tf.T4RecConfig property) (transformers4rec.torch.T4RecConfig property) TransfoXLConfig (class in transformers4rec.config.transformer) (class in transformers4rec.torch) (transformers4rec.torch.utils.torch_utils.MappingTransformerMasking attribute) true_value (merlin_standard_lib.proto.schema_bp.BoolDomain attribute), [1] type (merlin_standard_lib.proto.schema_bp.Feature attribute), [1] (merlin_standard_lib.proto.schema_bp.SparseFeature attribute), [1] TYPE_UNKNOWN (merlin_standard_lib.proto.schema_bp.FeatureType attribute), [1]

U

uint_value (merlin_standard_lib.proto.schema_bp.TensorRepresentationDefaultValue attribute), [1] uniform_row_length (merlin_standard_lib.proto.schema_bp.TensorRepresentationRaggedTensorPartition attribute), [1] unique_constraints (merlin_standard_lib.proto.schema_bp.Feature attribute), [1] UniqueConstraints (class in merlin_standard_lib.proto.schema_bp), [1] UNIX_DAYS (merlin_standard_lib.proto.schema_bp.TimeDomainIntegerTimeFormat attribute), [1] UNIX_MICROSECONDS (merlin_standard_lib.proto.schema_bp.TimeDomainIntegerTimeFormat attribute), [1] UNIX_MILLISECONDS (merlin_standard_lib.proto.schema_bp.TimeDomainIntegerTimeFormat attribute), [1] UNIX_NANOSECONDS (merlin_standard_lib.proto.schema_bp.TimeDomainIntegerTimeFormat attribute), [1] UNIX_SECONDS (merlin_standard_lib.proto.schema_bp.TimeDomainIntegerTimeFormat attribute), [1] UNKNOWN_STAGE (merlin_standard_lib.proto.schema_bp.LifecycleStage attribute), [1] UNSPECIFIED (merlin_standard_lib.proto.schema_bp.TensorRepresentationRowPartitionDType attribute), [1]

update() (transformers4rec.torch.ranking_metric.RankingMetric method) update_state() (transformers4rec.tf.ranking_metric.RankingMetric method) url_domain (merlin_standard_lib.proto.schema_bp.Feature attribute), [1] URLDomain (class in merlin_standard_lib.proto.schema_bp), [1] USER (merlin_standard_lib.schema.tag.Tag attribute), [1] (merlin_standard_lib.Tag attribute), [1] (transformers4rec.tf.Tag attribute) (transformers4rec.torch.Tag attribute) USER_ID (merlin_standard_lib.schema.tag.Tag attribute), [1] (merlin_standard_lib.Tag attribute), [1] (transformers4rec.tf.Tag attribute) (transformers4rec.torch.Tag attribute)

V

validate() (merlin_standard_lib.Registry method), [1] (merlin_standard_lib.registry.Registry method), [1] validate_dataset() (in module merlin_standard_lib.utils.misc_utils), [1] value (merlin_standard_lib.proto.schema_bp.StringDomain attribute), [1] value_column_name (merlin_standard_lib.proto.schema_bp.TensorRepresentationSparseTensor attribute), [1] value_count (merlin_standard_lib.proto.schema_bp.Feature attribute), [1] (merlin_standard_lib.proto.schema_bp.ValueCountList attribute), [1] value_counts (merlin_standard_lib.proto.schema_bp.Feature attribute), [1]

value_feature (merlin_standard_lib.proto.schema_bp.SparseFeature attribute), [1] ValueCount (class in merlin_standard_lib.proto.schema_bp), [1] ValueCountList (class in merlin_standard_lib.proto.schema_bp), [1] values() (merlin_standard_lib.Registry method), [1] (merlin_standard_lib.registry.Registry method), [1] varlen_sparse_tensor (merlin_standard_lib.proto.schema_bp.TensorRepresentation attribute), [1] visualize_response() (in module transformers4rec.torch.utils.examples_utils) vocabulary (merlin_standard_lib.proto.schema_bp.NaturalLanguageDomain attribute), [1]

W

weight (transformers4rec.torch.features.embedding.EmbeddingBagWrapper attribute) weight_feature (merlin_standard_lib.proto.schema_bp.WeightedFeature attribute), [1] WeightedFeature (class in merlin_standard_lib.proto.schema_bp), [1] wipe_memory() (in module transformers4rec.torch.utils.examples_utils) with_name() (merlin_standard_lib.ColumnSchema method), [1] (merlin_standard_lib.schema.schema.ColumnSchema method), [1] with_properties() (merlin_standard_lib.ColumnSchema method), [1] (merlin_standard_lib.schema.schema.ColumnSchema method), [1]

with_tags() (merlin_standard_lib.ColumnSchema method), [1] (merlin_standard_lib.schema.schema.ColumnSchema method), [1] with_tags_based_on_properties() (merlin_standard_lib.ColumnSchema method), [1] (merlin_standard_lib.Schema method), [1] (merlin_standard_lib.schema.schema.ColumnSchema method), [1] (merlin_standard_lib.schema.schema.Schema method), [1] (transformers4rec.tf.Schema method) (transformers4rec.torch.Schema method)

X

XDeepFmOuterProduct (class in transformers4rec.tf.layers) (class in transformers4rec.tf.layers.outer_product) XLNetConfig (class in transformers4rec.config.transformer) (class in transformers4rec.tf) (class in transformers4rec.torch) (transformers4rec.torch.utils.torch_utils.MappingTransformerMasking attribute)