EventStream.transformer package¶
Subpackages¶
- EventStream.transformer.generation package
- EventStream.transformer.lightning_modules package
Submodules¶
- EventStream.transformer.conditionally_independent_model module
- EventStream.transformer.config module
- EventStream.transformer.config.MEAS_INDEX_GROUP_T
- EventStream.transformer.config.ATTENTION_TYPES_LIST_T
- EventStream.transformer.config.AttentionLayerType
- EventStream.transformer.config.Averaging
- EventStream.transformer.config.MetricCategories
- EventStream.transformer.config.Metrics
- EventStream.transformer.config.MetricsConfig
- EventStream.transformer.config.OptimizationConfig
- EventStream.transformer.config.Split
- EventStream.transformer.config.StructuredEventProcessingMode
- EventStream.transformer.config.StructuredTransformerConfig
- Parameters
- vocab_sizes_by_measurement
- vocab_offsets_by_measurement
- measurement_configs
- measurements_idxmap
- measurements_per_generative_mode
- event_types_idxmap
- measurements_per_dep_graph_level
- max_seq_len
- do_split_embeddings
- numerical_embedding_dim
- static_embedding_mode
- static_embedding_weight
- dynamic_embedding_weight
- categorical_embedding_weight
- numerical_embedding_weight
- do_normalize_by_measurement_index
- do_use_learnable_sinusoidal_ATE
- structured_event_processing_mode
- hidden_size
- head_dim
- num_hidden_layers
- num_attention_heads
- seq_attention_types
- seq_window_size
- dep_graph_attention_types
- dep_graph_window_size
- do_full_block_in_seq_attention
- do_full_block_in_dep_graph_attention
- intermediate_size
- activation_function
- input_dropout
- attention_dropout
- resid_dropout
- layer_norm_epsilon
- init_std
- TTE_generation_layer_type
- TTE_lognormal_generation_num_components
- mean_log_inter_event_time_min
- std_log_inter_event_time_min
- use_cache
- Raises
- expand_attention_types_params
- from_dict
- measurements_for
- set_to_dataset
- to_dict
- Parameters
- EventStream.transformer.config.TimeToEventGenerationHeadType
- EventStream.transformer.fine_tuning_model module
- EventStream.transformer.generative_layers module
- EventStream.transformer.model_output module
- EventStream.transformer.model_output.BERNOULLI_DIST_T
- EventStream.transformer.model_output.CATEGORICAL_DIST_T
- EventStream.transformer.model_output.REGRESSION_DIST_T
- EventStream.transformer.model_output.GenerativeOutputLayerBase
- EventStream.transformer.model_output.GenerativeSequenceModelLabels
- EventStream.transformer.model_output.GenerativeSequenceModelLosses
- EventStream.transformer.model_output.GenerativeSequenceModelOutput
- EventStream.transformer.model_output.GenerativeSequenceModelPredictions
- EventStream.transformer.model_output.GenerativeSequenceModelSamples
- EventStream.transformer.model_output.NestedIndexableMixin
- EventStream.transformer.model_output.StreamClassificationModelOutput
- EventStream.transformer.model_output.TransformerOutputWithPast
- EventStream.transformer.model_output.get_event_types
- EventStream.transformer.model_output.strip_unused_indices
- EventStream.transformer.nested_attention_model module
- EventStream.transformer.structured_attention module
- EventStream.transformer.transformer module
- EventStream.transformer.transformer.ConditionallyIndependentPointProcessInputLayer
- EventStream.transformer.transformer.ConditionallyIndependentPointProcessTransformer
- EventStream.transformer.transformer.InnerAttention
- EventStream.transformer.transformer.InnerBlock
- EventStream.transformer.transformer.InnerMLP
- EventStream.transformer.transformer.InnerSelfAttention
- EventStream.transformer.transformer.LearnableFrequencySinusoidalTemporalPositionEncoding
- EventStream.transformer.transformer.NestedAttentionPointProcessInputLayer
- EventStream.transformer.transformer.NestedAttentionPointProcessTransformer
- EventStream.transformer.transformer.StructuredTransformerBlock
- EventStream.transformer.transformer.StructuredTransformerPreTrainedModel
- EventStream.transformer.transformer.TemporalPositionEncoding
- EventStream.transformer.transformer.expand_mask
- EventStream.transformer.transformer.time_from_deltas
- EventStream.transformer.utils module
- EventStream.transformer.zero_shot_labeler module