DeepMTP
Contents:
Installation
Migrating from DeepMTP 0.0.22 to 0.0.23
Loading a dataset
Configuration options
Architecture visualization
Reproducible checkpoints
Weights & Biases tracking
Multiclass classification
Mixed tabular inputs
Sparse high-dimensional inputs
Token-sequence inputs
Foundation-model sequence encoders
Molecular graph inputs
Composite branch inputs
Hyperparameter Optimization
Demo notebooks
Project policies
API reference
Credits
DeepMTP
Index
Index
A
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B
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C
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D
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E
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F
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G
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H
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I
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K
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L
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M
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N
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O
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P
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R
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S
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T
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U
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V
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W
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X
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Y
A
add_loss() (DeepMTP.EpochOutput method)
(DeepMTP.runtime.training.EpochOutput method)
add_test() (DeepMTP.RunHistory method)
(DeepMTP.runtime.presentation.RunHistory method)
add_training() (DeepMTP.RunHistory method)
(DeepMTP.runtime.presentation.RunHistory method)
add_validation() (DeepMTP.RunHistory method)
(DeepMTP.runtime.presentation.RunHistory method)
additional_info (DeepMTP.DeepMTPConfig attribute)
aliases (DeepMTP.ReporterModelArtifact attribute)
(DeepMTP.runtime.reporting.ReporterModelArtifact attribute)
alpha (DeepMTP.FoundationLoRASpec attribute)
(DeepMTP.integrations.huggingface.FoundationLoRASpec attribute)
announce_unscaled_values (DeepMTP.EvaluationProgressEvent attribute)
(DeepMTP.runtime.evaluation_progress.EvaluationProgressEvent attribute)
architecture (DeepMTP.architecture.ArchitectureBranch attribute)
(DeepMTP.architecture.ArchitectureComponent attribute)
(DeepMTP.architecture.ArchitectureFusion attribute)
(DeepMTP.ArchitectureBranch attribute)
(DeepMTP.ArchitectureComponent attribute)
(DeepMTP.ArchitectureFusion attribute)
ArchitectureBranch (class in DeepMTP)
(class in DeepMTP.architecture)
ArchitectureComponent (class in DeepMTP)
(class in DeepMTP.architecture)
ArchitectureDescription (class in DeepMTP)
(class in DeepMTP.architecture)
ArchitectureFusion (class in DeepMTP)
(class in DeepMTP.architecture)
artifact_digest (DeepMTP.runtime.wandb.WandBCheckpoint attribute)
(DeepMTP.WandBCheckpoint attribute)
artifact_name (DeepMTP.runtime.wandb.WandBCheckpoint attribute)
(DeepMTP.WandBCheckpoint attribute)
artifact_reference (DeepMTP.runtime.wandb.WandBCheckpoint attribute)
(DeepMTP.WandBCheckpoint attribute)
artifact_version (DeepMTP.runtime.wandb.WandBCheckpoint attribute)
(DeepMTP.WandBCheckpoint attribute)
attention_mask (DeepMTP.data.batches.SequenceInput attribute)
averaging (DeepMTP.EvaluationProgressEvent attribute)
(DeepMTP.runtime.evaluation_progress.EvaluationProgressEvent attribute)
B
base_evaluator() (in module DeepMTP.utils.eval_utils)
BaseDataset (class in DeepMTP.data.loading)
BaseExperimentInfo (class in DeepMTP.utils.utils)
BaseWorker (class in DeepMTP.hpo.worker)
batch_norm (DeepMTP.DeepMTPConfig attribute)
batch_size (DeepMTP.data.batches.CompositeBranchBatch property)
(DeepMTP.data.batches.CompositeInput property)
(DeepMTP.data.batches.GraphBranchBatch property)
(DeepMTP.data.batches.GraphInput property)
(DeepMTP.data.batches.MaskedComponentInput property)
(DeepMTP.data.batches.MTPBatch property)
(DeepMTP.data.batches.SequenceBranchBatch property)
(DeepMTP.data.batches.SequenceInput property)
(DeepMTP.data.batches.TabularBranchBatch property)
(DeepMTP.data.batches.TabularInput property)
(DeepMTP.data.batches.TensorBranchBatch property)
best_epoch (DeepMTP.ProgressEvent attribute)
(DeepMTP.runtime.presentation.ProgressEvent attribute)
(DeepMTP.utils.model_utils.EarlyStoppingUpdate attribute)
bracket (DeepMTP.hpo.progress.HPOProgressEvent attribute)
(DeepMTP.HPOProgressEvent attribute)
branch (DeepMTP.data.tabular.TabularPreprocessor attribute)
BranchEncoder (class in DeepMTP.models.contracts)
build() (DeepMTP.ModelFactory method)
(DeepMTP.models.factory.ModelFactory method)
build_checkpoint_metadata() (in module DeepMTP.runtime.metadata)
build_data_progress_observer() (in module DeepMTP.data.progress)
build_default_loss() (in module DeepMTP.runtime.components)
build_default_loss_input_transform() (in module DeepMTP.runtime.components)
build_default_output_head() (in module DeepMTP.runtime.components)
build_default_task_components() (in module DeepMTP.runtime.components)
build_evaluation_progress_observer() (in module DeepMTP.runtime.evaluation_progress)
build_hpo_progress_observer() (in module DeepMTP.hpo.progress)
build_loss() (in module DeepMTP.runtime.components)
build_loss_input_transform() (in module DeepMTP.runtime.components)
build_output_head() (in module DeepMTP.runtime.components)
build_progress_observer() (in module DeepMTP.runtime.presentation)
build_reporter() (in module DeepMTP.runtime.reporting)
build_task_components() (in module DeepMTP.runtime.components)
C
cache (DeepMTP.FoundationModelSpec attribute)
(DeepMTP.integrations.huggingface.FoundationModelSpec attribute)
cache_stats (DeepMTP.HuggingFaceSequenceEncoder property)
(DeepMTP.integrations.huggingface.HuggingFaceSequenceEncoder property)
calculate_hyperband_iters() (DeepMTP.hpo.hyperband.HyperBand method)
categorical (DeepMTP.data.batches.TabularInput attribute)
categorical_columns (DeepMTP.data.tabular.TabularPreprocessingState attribute)
(DeepMTP.data.tabular.TabularSchema attribute)
(DeepMTP.TabularSchema attribute)
categorical_missing (DeepMTP.data.tabular.TabularSchema attribute)
(DeepMTP.TabularSchema attribute)
categorical_names (DeepMTP.data.tabular.TabularSchema property)
(DeepMTP.TabularSchema property)
categorical_unknown (DeepMTP.data.tabular.TabularSchema attribute)
(DeepMTP.TabularSchema attribute)
CategoricalColumn (class in DeepMTP.data.tabular)
categories (DeepMTP.data.tabular.CategoricalColumn attribute)
check_interaction_files_column_type_format() (in module DeepMTP.data.interactions)
check_interaction_files_format() (in module DeepMTP.data.interactions)
check_novel_instances() (in module DeepMTP.data.interactions)
check_novel_targets() (in module DeepMTP.data.interactions)
check_target_variable_type() (in module DeepMTP.data.interactions)
check_variable_type() (in module DeepMTP.data.interactions)
checkpoint_dict (DeepMTP.DeepMTP attribute)
checkpoint_format (DeepMTP.DeepMTPConfig attribute)
(DeepMTP.runtime.wandb.WandBCheckpoint attribute)
(DeepMTP.WandBCheckpoint attribute)
checkpoint_metadata (DeepMTP.DeepMTP attribute)
checkpoint_path (DeepMTP.ReporterModelArtifact attribute)
(DeepMTP.runtime.reporting.ReporterModelArtifact attribute)
(DeepMTP.runtime.wandb.WandBCheckpoint attribute)
(DeepMTP.WandBCheckpoint attribute)
class_probabilities (DeepMTP.EpochOutput attribute)
(DeepMTP.runtime.training.EpochOutput attribute)
classification_mode (DeepMTP.DeepMTPConfig attribute)
(DeepMTP.ReporterPredictionTable attribute)
(DeepMTP.runtime.reporting.ReporterPredictionTable attribute)
clear() (DeepMTP.integrations.streamlit.progress.StreamlitProgressObserver method)
clear_cache() (DeepMTP.HuggingFaceSequenceEncoder method)
(DeepMTP.integrations.huggingface.HuggingFaceSequenceEncoder method)
close() (DeepMTP.CompositeReporter method)
(DeepMTP.ExperimentReporter method)
(DeepMTP.NullReporter method)
(DeepMTP.runtime.reporting.CompositeReporter method)
(DeepMTP.runtime.reporting.ExperimentReporter method)
(DeepMTP.runtime.reporting.NullReporter method)
(DeepMTP.runtime.reporting.TensorBoardReporter method)
(DeepMTP.runtime.reporting.WandBReporter method)
(DeepMTP.TensorBoardReporter method)
(DeepMTP.WandBReporter method)
collate_graph_rows() (in module DeepMTP.data.graphs)
collate_sparse_rows() (in module DeepMTP.data.sparse)
CollatedGraph (class in DeepMTP.data.graphs)
comb_mlp_layers (DeepMTP.DeepMTPConfig attribute)
comb_mlp_nodes_per_layer (DeepMTP.DeepMTPConfig attribute)
comb_mlp_nodes_reducing_factor (DeepMTP.DeepMTPConfig attribute)
components (DeepMTP.architecture.ArchitectureBranch attribute)
(DeepMTP.ArchitectureBranch attribute)
(DeepMTP.data.batches.CompositeInput attribute)
(DeepMTP.data.features.FeatureInfo attribute)
CompositeBranchBatch (class in DeepMTP.data.batches)
CompositeEncoder (class in DeepMTP)
(class in DeepMTP.models.branches)
CompositeFeatureSpec (class in DeepMTP.data.features)
CompositeInput (class in DeepMTP.data.batches)
CompositeReporter (class in DeepMTP)
(class in DeepMTP.runtime.reporting)
compute() (DeepMTP.hpo.types.HPOWorker method)
(DeepMTP.hpo.worker.BaseWorker method)
compute_mode (DeepMTP.DeepMTPConfig attribute)
config (DeepMTP.hpo.progress.HPOProgressEvent attribute)
(DeepMTP.HPOProgressEvent attribute)
ConfigDeprecationWarning
ConfigNormalizationWarning
ConfigurationSpace (class in DeepMTP.hpo.types)
configure() (DeepMTP.integrations.streamlit.progress.StreamlitProgressObserver method)
ConfigValidationError
ConsoleDataProgressObserver (class in DeepMTP)
(class in DeepMTP.data.progress)
ConsoleEvaluationProgressObserver (class in DeepMTP)
(class in DeepMTP.runtime.evaluation_progress)
ConsoleHPOProgressObserver (class in DeepMTP)
(class in DeepMTP.hpo.progress)
ConsoleProgressObserver (class in DeepMTP)
(class in DeepMTP.runtime.presentation)
ConvNet (class in DeepMTP.models.branches)
copy_feature_value() (in module DeepMTP.data.sparse)
copy_graph_value() (in module DeepMTP.data.graphs)
counter (DeepMTP.utils.model_utils.EarlyStoppingUpdate attribute)
create() (DeepMTP.ExperimentStore class method)
(DeepMTP.runtime.persistence.ExperimentStore class method)
cross_input_consistency_check_instances() (in module DeepMTP.data.features)
cross_input_consistency_check_targets() (in module DeepMTP.data.features)
current (DeepMTP.hpo.progress.HPOProgressEvent attribute)
(DeepMTP.HPOProgressEvent attribute)
CustomBranchBatch (class in DeepMTP.data.batches)
D
data (DeepMTP.data.datasets.ProcessedDatasetValue attribute)
(DeepMTP.data.features.FeatureInfo attribute)
(DeepMTP.data.interactions.InteractionInfo attribute)
data_maximums (DeepMTP.data.preprocessing.DenseScalingState attribute)
(DeepMTP.DenseScalingState attribute)
data_minimums (DeepMTP.data.preprocessing.DenseScalingState attribute)
(DeepMTP.DenseScalingState attribute)
data_preparation_state (DeepMTP.data.preparation.DataInfo attribute)
(DeepMTP.DeepMTPConfig attribute)
data_process() (in module DeepMTP)
(in module DeepMTP.data.preparation)
DataInfo (class in DeepMTP.data.preparation)
DataLoaderFactory (class in DeepMTP)
(class in DeepMTP.data.loading)
DataPreparationState (class in DeepMTP)
(class in DeepMTP.data.preprocessing)
DataProgressEvent (class in DeepMTP)
(class in DeepMTP.data.progress)
DataProgressObserver (class in DeepMTP.data.progress)
DatasetBundle (class in DeepMTP.data.datasets)
DatasetItem (class in DeepMTP.data.loading)
DatasetSplit (class in DeepMTP.data.datasets)
decay (DeepMTP.DeepMTPConfig attribute)
DeepMTP
module
DeepMTP (class in DeepMTP)
(class in DeepMTP.integrations.streamlit.trainer)
(class in DeepMTP.main)
DeepMTP.architecture
module
DeepMTP.data.batches
module
DeepMTP.data.datasets
module
DeepMTP.data.features
module
DeepMTP.data.graphs
module
DeepMTP.data.interactions
module
DeepMTP.data.loading
module
DeepMTP.data.preparation
module
DeepMTP.data.preprocessing
module
DeepMTP.data.progress
module
DeepMTP.data.sparse
module
DeepMTP.data.splitting
module
DeepMTP.data.tabular
module
DeepMTP.hpo.hyperband
module
DeepMTP.hpo.progress
module
DeepMTP.hpo.random_search
module
DeepMTP.hpo.types
module
DeepMTP.hpo.worker
module
DeepMTP.integrations.huggingface
module
DeepMTP.integrations.streamlit.hpo
module
DeepMTP.integrations.streamlit.progress
module
DeepMTP.integrations.streamlit.trainer
module
DeepMTP.main
module
DeepMTP.models.branches
module
DeepMTP.models.contracts
module
DeepMTP.models.factory
module
DeepMTP.runtime.components
module
DeepMTP.runtime.evaluation
module
DeepMTP.runtime.evaluation_progress
module
DeepMTP.runtime.metadata
module
DeepMTP.runtime.persistence
module
DeepMTP.runtime.presentation
module
DeepMTP.runtime.reporting
module
DeepMTP.runtime.training
module
DeepMTP.runtime.wandb
module
DeepMTP.tests
module
DeepMTP.utils
module
DeepMTP.utils.data_utils
module
DeepMTP.utils.eval_utils
module
DeepMTP.utils.model_utils
module
DeepMTP.utils.utils
module
DeepMTPConfig (class in DeepMTP)
delta (DeepMTP.DeepMTPConfig attribute)
dense (DeepMTP.data.preprocessing.DataPreparationState attribute)
(DeepMTP.DataPreparationState attribute)
DenseBranchBatch (class in DeepMTP.data.batches)
DensePreprocessingState (class in DeepMTP)
(class in DeepMTP.data.preprocessing)
DenseScalingState (class in DeepMTP)
(class in DeepMTP.data.preprocessing)
describe_architecture() (in module DeepMTP)
(in module DeepMTP.architecture)
details (DeepMTP.architecture.ArchitectureBranch attribute)
(DeepMTP.architecture.ArchitectureComponent attribute)
(DeepMTP.architecture.ArchitectureFusion attribute)
(DeepMTP.ArchitectureBranch attribute)
(DeepMTP.ArchitectureComponent attribute)
(DeepMTP.ArchitectureFusion attribute)
detected_classification_mode (DeepMTP.data.preparation.DataInfo attribute)
detected_num_classes (DeepMTP.data.preparation.DataInfo attribute)
detected_problem_mode (DeepMTP.data.preparation.DataInfo attribute)
detected_validation_setting (DeepMTP.data.preparation.DataInfo attribute)
directory (DeepMTP.FoundationCacheSpec attribute)
download_root (DeepMTP.runtime.wandb.WandBCheckpoint attribute)
(DeepMTP.WandBCheckpoint attribute)
download_wandb_checkpoint() (in module DeepMTP)
(in module DeepMTP.runtime.wandb)
dropout (DeepMTP.FoundationLoRASpec attribute)
(DeepMTP.integrations.huggingface.FoundationLoRASpec attribute)
dropout_rate (DeepMTP.DeepMTPConfig attribute)
dropout_rate_instance_branch (DeepMTP.DeepMTPConfig attribute)
dropout_rate_target_branch (DeepMTP.DeepMTPConfig attribute)
E
early_stopping_counter (DeepMTP.ProgressEvent attribute)
(DeepMTP.runtime.presentation.ProgressEvent attribute)
early_stopping_patience (DeepMTP.ProgressEvent attribute)
(DeepMTP.runtime.presentation.ProgressEvent attribute)
EarlyStopping (class in DeepMTP.utils.model_utils)
EarlyStoppingUpdate (class in DeepMTP.utils.model_utils)
edge_features (DeepMTP.data.batches.GraphInput attribute)
(DeepMTP.data.graphs.CollatedGraph attribute)
edge_index (DeepMTP.data.batches.GraphInput attribute)
(DeepMTP.data.graphs.CollatedGraph attribute)
embedding_dim (DeepMTP.data.tabular.CategoricalColumn attribute)
embedding_size (DeepMTP.DeepMTPConfig attribute)
empty() (DeepMTP.integrations.streamlit.progress.StreamlitAPI method)
encode_branch() (in module DeepMTP.models.contracts)
encoded_width (DeepMTP.data.tabular.TabularSchema property)
(DeepMTP.TabularSchema property)
encoder_input_kind() (in module DeepMTP.models.contracts)
encoder_output_dimension() (in module DeepMTP.models.contracts)
end (DeepMTP.data.progress.DataProgressEvent attribute)
(DeepMTP.DataProgressEvent attribute)
epoch (DeepMTP.ProgressEvent attribute)
(DeepMTP.runtime.presentation.ProgressEvent attribute)
EpochOutput (class in DeepMTP)
(class in DeepMTP.runtime.training)
eta (DeepMTP.hpo.progress.HPOProgressEvent attribute)
(DeepMTP.HPOProgressEvent attribute)
eval_every_n_epochs (DeepMTP.DeepMTPConfig attribute)
(DeepMTP.EvaluationPolicy attribute)
(DeepMTP.runtime.evaluation.EvaluationPolicy attribute)
eval_instance_verbose (DeepMTP.DeepMTPConfig attribute)
eval_target_verbose (DeepMTP.DeepMTPConfig attribute)
evaluate() (DeepMTP.Evaluator method)
(DeepMTP.runtime.evaluation.Evaluator method)
evaluate_epoch() (DeepMTP.runtime.training.TrainingEngine method)
(DeepMTP.TrainingEngine method)
evaluate_train (DeepMTP.DeepMTPConfig attribute)
(DeepMTP.EvaluationPolicy attribute)
(DeepMTP.runtime.evaluation.EvaluationPolicy attribute)
evaluate_val (DeepMTP.DeepMTPConfig attribute)
(DeepMTP.EvaluationPolicy attribute)
(DeepMTP.runtime.evaluation.EvaluationPolicy attribute)
EvaluationPolicy (class in DeepMTP)
(class in DeepMTP.runtime.evaluation)
EvaluationProgressEvent (class in DeepMTP)
(class in DeepMTP.runtime.evaluation_progress)
EvaluationProgressObserver (class in DeepMTP.runtime.evaluation_progress)
Evaluator (class in DeepMTP)
(class in DeepMTP.runtime.evaluation)
evaluator (DeepMTP.DeepMTP attribute)
(DeepMTP.main.DeepMTP attribute)
exclude_special_tokens_from_pooling (DeepMTP.FoundationModelSpec attribute)
(DeepMTP.integrations.huggingface.FoundationModelSpec attribute)
experiment_dir (DeepMTP.DeepMTPConfig attribute)
(DeepMTP.ExperimentStore attribute)
(DeepMTP.runtime.persistence.ExperimentStore attribute)
experiment_name (DeepMTP.DeepMTPConfig attribute)
ExperimentReporter (class in DeepMTP)
(class in DeepMTP.runtime.reporting)
ExperimentStore (class in DeepMTP)
(class in DeepMTP.runtime.persistence)
export_architecture_svg() (in module DeepMTP)
(in module DeepMTP.architecture)
F
feature_count (DeepMTP.data.preprocessing.DenseScalingState attribute)
(DeepMTP.DenseScalingState attribute)
feature_gating (DeepMTP.data.tabular.TabularSchema attribute)
(DeepMTP.TabularSchema attribute)
feature_range (DeepMTP.data.preprocessing.DenseScalingState attribute)
(DeepMTP.DenseScalingState attribute)
FeatureComponentInfo (class in DeepMTP.data.features)
FeatureInfo (class in DeepMTP.data.features)
files (DeepMTP.ReporterModelArtifact attribute)
(DeepMTP.runtime.reporting.ReporterModelArtifact attribute)
fit() (DeepMTP.data.tabular.TabularPreprocessor class method)
for_branch() (DeepMTP.data.preprocessing.DensePreprocessingState method)
(DeepMTP.DensePreprocessingState method)
for_prediction() (DeepMTP.data.loading.DataLoaderFactory method)
(DeepMTP.DataLoaderFactory method)
for_training() (DeepMTP.data.loading.DataLoaderFactory method)
(DeepMTP.DataLoaderFactory method)
format_architecture() (in module DeepMTP)
(in module DeepMTP.architecture)
format_mtr_datasets() (in module DeepMTP.data.datasets)
forward() (DeepMTP.CompositeEncoder method)
(DeepMTP.GraphEncoder method)
(DeepMTP.HuggingFaceSequenceEncoder method)
(DeepMTP.IDEmbedding method)
(DeepMTP.integrations.huggingface.HuggingFaceSequenceEncoder method)
(DeepMTP.models.branches.CompositeEncoder method)
(DeepMTP.models.branches.ConvNet method)
(DeepMTP.models.branches.GraphEncoder method)
(DeepMTP.models.branches.IDEmbedding method)
(DeepMTP.models.branches.MLP method)
(DeepMTP.models.branches.SequenceConv1DEncoder method)
(DeepMTP.models.branches.SequenceGRUEncoder method)
(DeepMTP.models.branches.SequenceTransformerEncoder method)
(DeepMTP.models.branches.SparseMLP method)
(DeepMTP.models.branches.TabularEncoder method)
(DeepMTP.models.factory.TwoBranchDotProductModel method)
(DeepMTP.models.factory.TwoBranchKroneckerModel method)
(DeepMTP.models.factory.TwoBranchMLPModel method)
(DeepMTP.SequenceConv1DEncoder method)
(DeepMTP.SequenceGRUEncoder method)
(DeepMTP.SequenceTransformerEncoder method)
(DeepMTP.SparseMLP method)
(DeepMTP.TabularEncoder method)
(DeepMTP.TwoBranchDotProductModel method)
(DeepMTP.TwoBranchKroneckerModel method)
(DeepMTP.TwoBranchMLPModel method)
FoundationCacheSpec (class in DeepMTP)
FoundationLoRASpec (class in DeepMTP)
(class in DeepMTP.integrations.huggingface)
FoundationModelSpec (class in DeepMTP)
(class in DeepMTP.integrations.huggingface)
frame (DeepMTP.ReporterPredictionTable attribute)
(DeepMTP.runtime.reporting.ReporterPredictionTable attribute)
from_config() (DeepMTP.data.preprocessing.DataPreparationState class method)
(DeepMTP.data.preprocessing.DensePreprocessingState class method)
(DeepMTP.data.preprocessing.DenseScalingState class method)
(DeepMTP.data.tabular.CategoricalColumn class method)
(DeepMTP.data.tabular.TabularPreprocessingState class method)
(DeepMTP.data.tabular.TabularSchema class method)
(DeepMTP.DataPreparationState class method)
(DeepMTP.DensePreprocessingState class method)
(DeepMTP.DenseScalingState class method)
(DeepMTP.EvaluationPolicy class method)
(DeepMTP.FoundationCacheSpec class method)
(DeepMTP.FoundationLoRASpec class method)
(DeepMTP.FoundationModelSpec class method)
(DeepMTP.integrations.huggingface.FoundationLoRASpec class method)
(DeepMTP.integrations.huggingface.FoundationModelSpec class method)
(DeepMTP.runtime.evaluation.EvaluationPolicy class method)
(DeepMTP.TabularSchema class method)
from_fitted_scaler() (DeepMTP.data.preprocessing.DenseScalingState class method)
(DeepMTP.DenseScalingState class method)
from_mapping() (DeepMTP.DeepMTPConfig class method)
from_state() (DeepMTP.data.tabular.TabularPreprocessor class method)
from_wandb_artifact() (DeepMTP.DeepMTP class method)
(DeepMTP.main.DeepMTP class method)
frozen (DeepMTP.architecture.ParameterStatistics attribute)
(DeepMTP.ParameterStatistics attribute)
fusion (DeepMTP.architecture.ArchitectureDescription attribute)
(DeepMTP.ArchitectureDescription attribute)
G
general_architecture_version (DeepMTP.DeepMTPConfig attribute)
generate_config() (in module DeepMTP.utils.utils)
generate_dummy_dataset() (in module DeepMTP.data.datasets)
generate_interaction_matrix() (in module DeepMTP.data.datasets)
generate_MTP_dataset() (in module DeepMTP.data.datasets)
get_balanced_df() (DeepMTP.data.loading.MTPSampler method)
get_best_epoch() (DeepMTP.utils.model_utils.EarlyStopping method)
get_best_model() (DeepMTP.utils.model_utils.EarlyStopping method)
get_best_optimizer_state_dict() (DeepMTP.utils.model_utils.EarlyStopping method)
get_best_performance_results() (DeepMTP.utils.model_utils.EarlyStopping method)
get_best_score() (DeepMTP.utils.model_utils.EarlyStopping method)
get_budget() (DeepMTP.utils.utils.BaseExperimentInfo method)
get_config() (DeepMTP.utils.utils.BaseExperimentInfo method)
get_default_batch_norm() (in module DeepMTP.utils.utils)
get_default_dropout_rate() (in module DeepMTP.utils.utils)
get_default_inference_transform() (in module DeepMTP.utils.utils)
get_default_train_transform() (in module DeepMTP.utils.utils)
get_epilepsy_specific_metrics() (in module DeepMTP.utils.eval_utils)
get_estimated_validation_setting() (in module DeepMTP.data.interactions)
get_optimization_direction() (in module DeepMTP.utils.utils)
get_performance_results() (in module DeepMTP.utils.eval_utils)
get_run_summary() (DeepMTP.hpo.hyperband.HyperBand method)
(DeepMTP.hpo.random_search.RandomSearch method)
gradient_accumulation_steps (DeepMTP.DeepMTPConfig attribute)
gradient_clip_norm (DeepMTP.DeepMTPConfig attribute)
graph_edge_features (DeepMTP.data.features.FeatureComponentInfo attribute)
(DeepMTP.data.features.FeatureInfo attribute)
graph_index (DeepMTP.data.batches.GraphInput attribute)
(DeepMTP.data.graphs.CollatedGraph attribute)
graph_object_array() (in module DeepMTP.data.graphs)
GraphBranchBatch (class in DeepMTP.data.batches)
GraphEncoder (class in DeepMTP)
(class in DeepMTP.models.branches)
GraphInput (class in DeepMTP.data.batches)
group (DeepMTP.EvaluationProgressEvent attribute)
(DeepMTP.runtime.evaluation_progress.EvaluationProgressEvent attribute)
group_id (DeepMTP.EvaluationProgressEvent attribute)
(DeepMTP.runtime.evaluation_progress.EvaluationProgressEvent attribute)
H
hpo_results_path (DeepMTP.DeepMTPConfig attribute)
HPOProgressEvent (class in DeepMTP)
(class in DeepMTP.hpo.progress)
HPOProgressObserver (class in DeepMTP)
(class in DeepMTP.hpo.progress)
HPOWorker (class in DeepMTP.hpo.types)
HPOWorkerResult (class in DeepMTP.hpo.types)
HuggingFaceSequenceEncoder (class in DeepMTP)
(class in DeepMTP.integrations.huggingface)
HyperBand (class in DeepMTP.hpo.hyperband)
(class in DeepMTP.integrations.streamlit.hpo)
HyperbandBracket (class in DeepMTP.hpo.hyperband)
I
IDBranchBatch (class in DeepMTP.data.batches)
IDEmbedding (class in DeepMTP)
(class in DeepMTP.models.branches)
ImageBranchBatch (class in DeepMTP.data.batches)
inference() (DeepMTP.DeepMTP method)
(DeepMTP.main.DeepMTP method)
info (DeepMTP.data.features.FeatureComponentInfo attribute)
(DeepMTP.data.features.FeatureInfo attribute)
(DeepMTP.hpo.types.HPOWorkerResult attribute)
initialize_mode() (in module DeepMTP.integrations.streamlit.trainer)
input_dimension (DeepMTP.architecture.ArchitectureBranch attribute)
(DeepMTP.architecture.ArchitectureComponent attribute)
(DeepMTP.architecture.ArchitectureFusion attribute)
(DeepMTP.ArchitectureBranch attribute)
(DeepMTP.ArchitectureComponent attribute)
(DeepMTP.ArchitectureFusion attribute)
input_kind (DeepMTP.CompositeEncoder attribute)
(DeepMTP.GraphEncoder attribute)
(DeepMTP.HuggingFaceSequenceEncoder attribute)
(DeepMTP.IDEmbedding attribute)
(DeepMTP.integrations.huggingface.HuggingFaceSequenceEncoder attribute)
(DeepMTP.models.branches.CompositeEncoder attribute)
(DeepMTP.models.branches.ConvNet attribute)
(DeepMTP.models.branches.GraphEncoder attribute)
(DeepMTP.models.branches.IDEmbedding attribute)
(DeepMTP.models.branches.MLP attribute)
(DeepMTP.models.branches.SequenceConv1DEncoder attribute)
(DeepMTP.models.branches.SequenceGRUEncoder attribute)
(DeepMTP.models.branches.SequenceTransformerEncoder attribute)
(DeepMTP.models.branches.SparseMLP attribute)
(DeepMTP.models.branches.TabularEncoder attribute)
(DeepMTP.models.contracts.BranchEncoder attribute)
(DeepMTP.SequenceConv1DEncoder attribute)
(DeepMTP.SequenceGRUEncoder attribute)
(DeepMTP.SequenceTransformerEncoder attribute)
(DeepMTP.SparseMLP attribute)
(DeepMTP.TabularEncoder attribute)
instance (DeepMTP.data.preprocessing.DensePreprocessingState attribute)
(DeepMTP.DensePreprocessingState attribute)
instance_branch (DeepMTP.architecture.ArchitectureDescription attribute)
(DeepMTP.ArchitectureDescription attribute)
(DeepMTP.ModelBundle attribute)
(DeepMTP.models.factory.ModelBundle attribute)
instance_branch_architecture (DeepMTP.DeepMTPConfig attribute)
instance_branch_component_graph_edge_dims (DeepMTP.data.preparation.DataInfo attribute)
instance_branch_component_input_dims (DeepMTP.data.preparation.DataInfo attribute)
instance_branch_composite_attention_dim (DeepMTP.DeepMTPConfig attribute)
instance_branch_composite_attention_num_heads (DeepMTP.DeepMTPConfig attribute)
instance_branch_composite_components (DeepMTP.DeepMTPConfig attribute)
instance_branch_composite_fusion (DeepMTP.DeepMTPConfig attribute)
instance_branch_composite_modality_dropout (DeepMTP.DeepMTPConfig attribute)
instance_branch_conv_architecture (DeepMTP.DeepMTPConfig attribute)
instance_branch_conv_architecture_dense_layers (DeepMTP.DeepMTPConfig attribute)
instance_branch_conv_architecture_last_layer_trained (DeepMTP.DeepMTPConfig attribute)
instance_branch_conv_architecture_version (DeepMTP.DeepMTPConfig attribute)
instance_branch_conv_pretrained (DeepMTP.DeepMTPConfig attribute)
instance_branch_foundation_model (DeepMTP.DeepMTPConfig attribute)
instance_branch_graph_edge_dim (DeepMTP.data.preparation.DataInfo attribute)
(DeepMTP.DeepMTPConfig attribute)
instance_branch_graph_hidden_dim (DeepMTP.DeepMTPConfig attribute)
instance_branch_graph_num_layers (DeepMTP.DeepMTPConfig attribute)
instance_branch_graph_output_dim (DeepMTP.DeepMTPConfig attribute)
instance_branch_graph_pooling (DeepMTP.DeepMTPConfig attribute)
instance_branch_graph_use_edge_features (DeepMTP.DeepMTPConfig attribute)
instance_branch_input_dim (DeepMTP.data.preparation.DataInfo attribute)
(DeepMTP.DeepMTPConfig attribute)
instance_branch_layers (DeepMTP.DeepMTPConfig attribute)
instance_branch_nodes_per_layer (DeepMTP.DeepMTPConfig attribute)
instance_branch_nodes_reducing_factor (DeepMTP.DeepMTPConfig attribute)
instance_branch_sequence_conv_kernel_size (DeepMTP.DeepMTPConfig attribute)
instance_branch_sequence_embedding_dim (DeepMTP.DeepMTPConfig attribute)
instance_branch_sequence_encoder (DeepMTP.DeepMTPConfig attribute)
instance_branch_sequence_num_layers (DeepMTP.DeepMTPConfig attribute)
instance_branch_sequence_output_dim (DeepMTP.DeepMTPConfig attribute)
instance_branch_sequence_padding_idx (DeepMTP.DeepMTPConfig attribute)
instance_branch_sequence_transformer_feedforward_dim (DeepMTP.DeepMTPConfig attribute)
instance_branch_sequence_transformer_num_heads (DeepMTP.DeepMTPConfig attribute)
instance_branch_tabular_schema (DeepMTP.DeepMTPConfig attribute)
instance_component_kinds (DeepMTP.data.batches.MTPBatchCollator attribute)
instance_component_optional (DeepMTP.data.batches.MTPBatchCollator attribute)
instance_component_padding_indices (DeepMTP.data.batches.MTPBatchCollator attribute)
instance_features (DeepMTP.data.batches.MTPBatch property)
(DeepMTP.data.loading.DatasetItem attribute)
instance_id (DeepMTP.data.batches.MTPBatch attribute)
(DeepMTP.data.loading.DatasetItem attribute)
instance_id_type (DeepMTP.data.interactions.InteractionInfo attribute)
instance_ids (DeepMTP.EpochOutput attribute)
(DeepMTP.runtime.training.EpochOutput attribute)
instance_inference_transforms (DeepMTP.DeepMTPConfig attribute)
instance_input (DeepMTP.data.batches.MTPBatch attribute)
instance_kind (DeepMTP.data.batches.MTPBatchCollator attribute)
instance_sequence_padding_idx (DeepMTP.data.batches.MTPBatchCollator attribute)
instance_tabular_preprocessing_state (DeepMTP.DeepMTPConfig attribute)
instance_train_transforms (DeepMTP.DeepMTPConfig attribute)
instance_wise_pred_inverse_transformation() (in module DeepMTP.utils.eval_utils)
instance_wise_true_inverse_transformation() (in module DeepMTP.utils.eval_utils)
InteractionInfo (class in DeepMTP.data.interactions)
inverse_transform() (DeepMTP.utils.eval_utils.InverseTransformer method)
InverseTransformer (class in DeepMTP.utils.eval_utils)
is_graph_value() (in module DeepMTP.data.graphs)
is_scipy_sparse() (in module DeepMTP.data.sparse)
is_sparse_value() (in module DeepMTP.data.sparse)
is_torch_sparse() (in module DeepMTP.data.sparse)
isolated_torch_seed() (in module DeepMTP.models.factory)
iteration (DeepMTP.hpo.progress.HPOProgressEvent attribute)
(DeepMTP.HPOProgressEvent attribute)
K
kind (DeepMTP.data.batches.CompositeBranchBatch attribute)
(DeepMTP.data.batches.CustomBranchBatch attribute)
(DeepMTP.data.batches.DenseBranchBatch attribute)
(DeepMTP.data.batches.GraphBranchBatch attribute)
(DeepMTP.data.batches.IDBranchBatch attribute)
(DeepMTP.data.batches.ImageBranchBatch attribute)
(DeepMTP.data.batches.SequenceBranchBatch attribute)
(DeepMTP.data.batches.SparseBranchBatch attribute)
(DeepMTP.data.batches.TabularBranchBatch attribute)
(DeepMTP.data.batches.TensorBranchBatch attribute)
(DeepMTP.data.features.CompositeFeatureSpec attribute)
(DeepMTP.data.progress.DataProgressEvent attribute)
(DeepMTP.DataProgressEvent attribute)
(DeepMTP.EvaluationProgressEvent attribute)
(DeepMTP.hpo.progress.HPOProgressEvent attribute)
(DeepMTP.HPOProgressEvent attribute)
(DeepMTP.ProgressEvent attribute)
(DeepMTP.runtime.evaluation_progress.EvaluationProgressEvent attribute)
(DeepMTP.runtime.presentation.ProgressEvent attribute)
L
learning_rate (DeepMTP.DeepMTPConfig attribute)
lengths (DeepMTP.data.batches.SequenceInput attribute)
level (DeepMTP.data.progress.DataProgressEvent attribute)
(DeepMTP.DataProgressEvent attribute)
load_checkpoint() (DeepMTP.ExperimentStore static method)
(DeepMTP.runtime.persistence.ExperimentStore static method)
load_pretrained_model (DeepMTP.DeepMTPConfig attribute)
load_process_DP() (in module DeepMTP.data.datasets)
load_process_MC() (in module DeepMTP.data.datasets)
load_process_MLC() (in module DeepMTP.data.datasets)
load_process_MTL() (in module DeepMTP.data.datasets)
load_process_MTR() (in module DeepMTP.data.datasets)
local_files_only (DeepMTP.FoundationModelSpec attribute)
(DeepMTP.integrations.huggingface.FoundationModelSpec attribute)
log_metrics() (DeepMTP.CompositeReporter method)
(DeepMTP.ExperimentReporter method)
(DeepMTP.NullReporter method)
(DeepMTP.runtime.reporting.CompositeReporter method)
(DeepMTP.runtime.reporting.ExperimentReporter method)
(DeepMTP.runtime.reporting.NullReporter method)
(DeepMTP.runtime.reporting.TensorBoardReporter method)
(DeepMTP.runtime.reporting.WandBReporter method)
(DeepMTP.TensorBoardReporter method)
(DeepMTP.WandBReporter method)
log_model_artifact() (DeepMTP.CompositeReporter method)
(DeepMTP.NullReporter method)
(DeepMTP.runtime.reporting.CompositeReporter method)
(DeepMTP.runtime.reporting.NullReporter method)
(DeepMTP.runtime.reporting.WandBReporter method)
(DeepMTP.WandBReporter method)
log_predictions() (DeepMTP.CompositeReporter method)
(DeepMTP.NullReporter method)
(DeepMTP.runtime.reporting.CompositeReporter method)
(DeepMTP.runtime.reporting.NullReporter method)
(DeepMTP.runtime.reporting.WandBReporter method)
(DeepMTP.WandBReporter method)
log_reporter_model_artifact() (in module DeepMTP.runtime.reporting)
log_reporter_predictions() (in module DeepMTP.runtime.reporting)
log_reporter_summary() (in module DeepMTP.runtime.reporting)
log_summary() (DeepMTP.CompositeReporter method)
(DeepMTP.NullReporter method)
(DeepMTP.runtime.reporting.CompositeReporter method)
(DeepMTP.runtime.reporting.NullReporter method)
(DeepMTP.runtime.reporting.TensorBoardReporter method)
(DeepMTP.runtime.reporting.WandBReporter method)
(DeepMTP.TensorBoardReporter method)
(DeepMTP.WandBReporter method)
lora (DeepMTP.FoundationModelSpec attribute)
(DeepMTP.integrations.huggingface.FoundationModelSpec attribute)
loss (DeepMTP.architecture.ArchitectureDescription attribute)
(DeepMTP.ArchitectureDescription attribute)
(DeepMTP.DeepMTPConfig attribute)
(DeepMTP.hpo.types.HPOWorkerResult attribute)
(DeepMTP.runtime.components.TaskComponents attribute)
loss_input_transform (DeepMTP.runtime.components.TaskComponents attribute)
loss_weights (DeepMTP.EpochOutput attribute)
(DeepMTP.runtime.training.EpochOutput attribute)
losses (DeepMTP.EpochOutput attribute)
(DeepMTP.runtime.training.EpochOutput attribute)
M
mark_failed() (DeepMTP.CompositeReporter method)
(DeepMTP.NullReporter method)
(DeepMTP.runtime.reporting.CompositeReporter method)
(DeepMTP.runtime.reporting.NullReporter method)
(DeepMTP.runtime.reporting.WandBReporter method)
(DeepMTP.WandBReporter method)
mark_reporter_failed() (in module DeepMTP.runtime.reporting)
MaskedComponentInput (class in DeepMTP.data.batches)
max_budget (DeepMTP.hpo.progress.HPOProgressEvent attribute)
(DeepMTP.HPOProgressEvent attribute)
max_length (DeepMTP.FoundationModelSpec attribute)
(DeepMTP.integrations.huggingface.FoundationModelSpec attribute)
max_rows (DeepMTP.ReporterPredictionTable attribute)
(DeepMTP.runtime.reporting.ReporterPredictionTable attribute)
mean_loss (DeepMTP.EpochOutput property)
(DeepMTP.runtime.training.EpochOutput property)
memory_capacity (DeepMTP.FoundationCacheSpec attribute)
message (DeepMTP.data.progress.DataProgressEvent attribute)
(DeepMTP.DataProgressEvent attribute)
(DeepMTP.ProgressEvent attribute)
(DeepMTP.runtime.presentation.ProgressEvent attribute)
metadata (DeepMTP.ReporterModelArtifact attribute)
(DeepMTP.runtime.reporting.ReporterModelArtifact attribute)
method (DeepMTP.data.preprocessing.DenseScalingState attribute)
(DeepMTP.DenseScalingState attribute)
metric_name (DeepMTP.EvaluationProgressEvent attribute)
(DeepMTP.runtime.evaluation_progress.EvaluationProgressEvent attribute)
metric_to_optimize_best_epoch_selection (DeepMTP.DeepMTPConfig attribute)
(DeepMTP.EvaluationPolicy attribute)
(DeepMTP.runtime.evaluation.EvaluationPolicy attribute)
metric_to_optimize_early_stopping (DeepMTP.DeepMTPConfig attribute)
(DeepMTP.EvaluationPolicy attribute)
(DeepMTP.runtime.evaluation.EvaluationPolicy attribute)
metric_to_track (DeepMTP.EvaluationPolicy property)
(DeepMTP.runtime.evaluation.EvaluationPolicy property)
metric_value (DeepMTP.EvaluationProgressEvent attribute)
(DeepMTP.runtime.evaluation_progress.EvaluationProgressEvent attribute)
metrics (DeepMTP.DeepMTPConfig attribute)
(DeepMTP.ProgressEvent attribute)
(DeepMTP.runtime.presentation.ProgressEvent attribute)
metrics_average (DeepMTP.DeepMTPConfig attribute)
missing_values (DeepMTP.data.interactions.InteractionInfo attribute)
MLP (class in DeepMTP.models.branches)
mode (DeepMTP.EvaluationProgressEvent attribute)
(DeepMTP.ProgressEvent attribute)
(DeepMTP.runtime.evaluation_progress.EvaluationProgressEvent attribute)
(DeepMTP.runtime.presentation.ProgressEvent attribute)
model (DeepMTP.ModelBundle attribute)
(DeepMTP.models.factory.ModelBundle attribute)
model_load_revision (DeepMTP.FoundationModelSpec property)
(DeepMTP.integrations.huggingface.FoundationModelSpec property)
model_name (DeepMTP.FoundationModelSpec attribute)
(DeepMTP.integrations.huggingface.FoundationModelSpec attribute)
ModelBundle (class in DeepMTP)
(class in DeepMTP.models.factory)
ModelFactory (class in DeepMTP)
(class in DeepMTP.models.factory)
module
DeepMTP
DeepMTP.architecture
DeepMTP.data.batches
DeepMTP.data.datasets
DeepMTP.data.features
DeepMTP.data.graphs
DeepMTP.data.interactions
DeepMTP.data.loading
DeepMTP.data.preparation
DeepMTP.data.preprocessing
DeepMTP.data.progress
DeepMTP.data.sparse
DeepMTP.data.splitting
DeepMTP.data.tabular
DeepMTP.hpo.hyperband
DeepMTP.hpo.progress
DeepMTP.hpo.random_search
DeepMTP.hpo.types
DeepMTP.hpo.worker
DeepMTP.integrations.huggingface
DeepMTP.integrations.streamlit.hpo
DeepMTP.integrations.streamlit.progress
DeepMTP.integrations.streamlit.trainer
DeepMTP.main
DeepMTP.models.branches
DeepMTP.models.contracts
DeepMTP.models.factory
DeepMTP.runtime.components
DeepMTP.runtime.evaluation
DeepMTP.runtime.evaluation_progress
DeepMTP.runtime.metadata
DeepMTP.runtime.persistence
DeepMTP.runtime.presentation
DeepMTP.runtime.reporting
DeepMTP.runtime.training
DeepMTP.runtime.wandb
DeepMTP.tests
DeepMTP.utils
DeepMTP.utils.data_utils
DeepMTP.utils.eval_utils
DeepMTP.utils.model_utils
DeepMTP.utils.utils
momentum (DeepMTP.DeepMTPConfig attribute)
MTPBatch (class in DeepMTP.data.batches)
MTPBatchCollator (class in DeepMTP.data.batches)
MTPSampler (class in DeepMTP.data.loading)
multiclass_average (DeepMTP.DeepMTPConfig attribute)
N
n_i (DeepMTP.hpo.hyperband.HyperbandBracket attribute)
name (DeepMTP.architecture.ArchitectureBranch attribute)
(DeepMTP.architecture.ArchitectureComponent attribute)
(DeepMTP.ArchitectureBranch attribute)
(DeepMTP.ArchitectureComponent attribute)
(DeepMTP.data.tabular.CategoricalColumn attribute)
(DeepMTP.ReporterModelArtifact attribute)
(DeepMTP.runtime.reporting.ReporterModelArtifact attribute)
node_features (DeepMTP.data.batches.GraphInput attribute)
(DeepMTP.data.graphs.CollatedGraph attribute)
nonzero_predictions (DeepMTP.EvaluationProgressEvent attribute)
(DeepMTP.runtime.evaluation_progress.EvaluationProgressEvent attribute)
normalize() (in module DeepMTP.data.preparation)
normalize_graph_rows() (in module DeepMTP.data.graphs)
normalize_sparse_matrix() (in module DeepMTP.data.sparse)
normalize_sparse_rows() (in module DeepMTP.data.sparse)
NoveltyInferenceWarning
NullDataProgressObserver (class in DeepMTP)
(class in DeepMTP.data.progress)
NullEvaluationProgressObserver (class in DeepMTP)
(class in DeepMTP.runtime.evaluation_progress)
NullHPOProgressObserver (class in DeepMTP)
(class in DeepMTP.hpo.progress)
NullProgressObserver (class in DeepMTP)
(class in DeepMTP.runtime.presentation)
NullReporter (class in DeepMTP)
(class in DeepMTP.runtime.reporting)
num_classes (DeepMTP.DeepMTPConfig attribute)
num_epochs (DeepMTP.DeepMTPConfig attribute)
(DeepMTP.EvaluationPolicy attribute)
(DeepMTP.runtime.evaluation.EvaluationPolicy attribute)
num_features (DeepMTP.data.features.FeatureComponentInfo attribute)
(DeepMTP.data.features.FeatureInfo attribute)
num_graphs (DeepMTP.data.batches.GraphInput attribute)
(DeepMTP.data.graphs.CollatedGraph attribute)
num_iters (DeepMTP.hpo.hyperband.HyperbandBracket attribute)
num_workers (DeepMTP.DeepMTPConfig attribute)
numeric (DeepMTP.data.batches.TabularInput attribute)
numeric_columns (DeepMTP.data.tabular.TabularPreprocessingState attribute)
(DeepMTP.data.tabular.TabularSchema attribute)
(DeepMTP.TabularSchema attribute)
numeric_fill_values (DeepMTP.data.tabular.TabularPreprocessingState attribute)
numeric_missing (DeepMTP.data.tabular.TabularSchema attribute)
(DeepMTP.TabularSchema attribute)
numeric_normalization (DeepMTP.data.tabular.TabularSchema attribute)
(DeepMTP.TabularSchema attribute)
numeric_offsets (DeepMTP.data.tabular.TabularPreprocessingState attribute)
numeric_scales (DeepMTP.data.tabular.TabularPreprocessingState attribute)
O
offsets (DeepMTP.data.preprocessing.DenseScalingState attribute)
(DeepMTP.DenseScalingState attribute)
on_event() (DeepMTP.ConsoleDataProgressObserver method)
(DeepMTP.ConsoleEvaluationProgressObserver method)
(DeepMTP.ConsoleHPOProgressObserver method)
(DeepMTP.ConsoleProgressObserver method)
(DeepMTP.data.progress.ConsoleDataProgressObserver method)
(DeepMTP.data.progress.DataProgressObserver method)
(DeepMTP.data.progress.NullDataProgressObserver method)
(DeepMTP.hpo.progress.ConsoleHPOProgressObserver method)
(DeepMTP.hpo.progress.HPOProgressObserver method)
(DeepMTP.hpo.progress.NullHPOProgressObserver method)
(DeepMTP.HPOProgressObserver method)
(DeepMTP.integrations.streamlit.progress.StreamlitHPOProgressObserver method)
(DeepMTP.integrations.streamlit.progress.StreamlitProgressObserver method)
(DeepMTP.NullDataProgressObserver method)
(DeepMTP.NullEvaluationProgressObserver method)
(DeepMTP.NullHPOProgressObserver method)
(DeepMTP.NullProgressObserver method)
(DeepMTP.ProgressObserver method)
(DeepMTP.runtime.evaluation_progress.ConsoleEvaluationProgressObserver method)
(DeepMTP.runtime.evaluation_progress.EvaluationProgressObserver method)
(DeepMTP.runtime.evaluation_progress.NullEvaluationProgressObserver method)
(DeepMTP.runtime.presentation.ConsoleProgressObserver method)
(DeepMTP.runtime.presentation.NullProgressObserver method)
(DeepMTP.runtime.presentation.ProgressObserver method)
on_summary() (DeepMTP.ConsoleProgressObserver method)
(DeepMTP.integrations.streamlit.progress.StreamlitProgressObserver method)
(DeepMTP.NullProgressObserver method)
(DeepMTP.ProgressObserver method)
(DeepMTP.runtime.presentation.ConsoleProgressObserver method)
(DeepMTP.runtime.presentation.NullProgressObserver method)
(DeepMTP.runtime.presentation.ProgressObserver method)
optional (DeepMTP.architecture.ArchitectureComponent attribute)
(DeepMTP.ArchitectureComponent attribute)
(DeepMTP.data.features.CompositeFeatureSpec attribute)
OptionalIntegrationError
,
[1]
original_format (DeepMTP.data.interactions.InteractionInfo attribute)
output_dim (DeepMTP.models.contracts.BranchEncoder attribute)
output_dimension (DeepMTP.architecture.ArchitectureBranch attribute)
(DeepMTP.architecture.ArchitectureComponent attribute)
(DeepMTP.architecture.ArchitectureFusion attribute)
(DeepMTP.ArchitectureBranch attribute)
(DeepMTP.ArchitectureComponent attribute)
(DeepMTP.ArchitectureFusion attribute)
(DeepMTP.DeepMTPConfig property)
output_head (DeepMTP.runtime.components.TaskComponents attribute)
P
padding_idx (DeepMTP.data.batches.SequenceInput attribute)
(DeepMTP.integrations.huggingface.TokenizedFoundationSequences attribute)
(DeepMTP.TokenizedFoundationSequences attribute)
parameters (DeepMTP.architecture.ArchitectureDescription attribute)
(DeepMTP.ArchitectureDescription attribute)
ParameterStatistics (class in DeepMTP)
(class in DeepMTP.architecture)
patience (DeepMTP.DeepMTPConfig attribute)
(DeepMTP.utils.model_utils.EarlyStoppingUpdate attribute)
pin_memory() (DeepMTP.data.batches.CompositeBranchBatch method)
(DeepMTP.data.batches.CompositeInput method)
(DeepMTP.data.batches.GraphBranchBatch method)
(DeepMTP.data.batches.GraphInput method)
(DeepMTP.data.batches.MaskedComponentInput method)
(DeepMTP.data.batches.MTPBatch method)
(DeepMTP.data.batches.SequenceBranchBatch method)
(DeepMTP.data.batches.SequenceInput method)
(DeepMTP.data.batches.SparseBranchBatch method)
(DeepMTP.data.batches.TabularBranchBatch method)
(DeepMTP.data.batches.TabularInput method)
(DeepMTP.data.batches.TensorBranchBatch method)
pin_sparse_tensor() (in module DeepMTP.data.sparse)
policy (DeepMTP.Evaluator property)
(DeepMTP.runtime.evaluation.Evaluator property)
pooling (DeepMTP.FoundationModelSpec attribute)
(DeepMTP.integrations.huggingface.FoundationModelSpec attribute)
pooling_excluded_token_ids (DeepMTP.FoundationModelSpec attribute)
(DeepMTP.integrations.huggingface.FoundationModelSpec attribute)
predict() (DeepMTP.DeepMTP method)
(DeepMTP.main.DeepMTP method)
predicted_values (DeepMTP.EpochOutput attribute)
(DeepMTP.runtime.training.EpochOutput attribute)
predicted_values_have_nan (DeepMTP.EvaluationProgressEvent attribute)
(DeepMTP.runtime.evaluation_progress.EvaluationProgressEvent attribute)
predictions_frame() (DeepMTP.Evaluator static method)
(DeepMTP.runtime.evaluation.Evaluator static method)
preprocessing_state (DeepMTP.DeepMTP property)
(DeepMTP.main.DeepMTP property)
presence_mask (DeepMTP.data.batches.MaskedComponentInput attribute)
present_count (DeepMTP.data.batches.MaskedComponentInput property)
pretrained_model_path (DeepMTP.DeepMTPConfig attribute)
print_architecture() (in module DeepMTP)
(in module DeepMTP.architecture)
print_MTR_datasets() (in module DeepMTP.data.datasets)
problem_mode (DeepMTP.DeepMTPConfig attribute)
(DeepMTP.ReporterPredictionTable attribute)
(DeepMTP.runtime.reporting.ReporterPredictionTable attribute)
process_dummy_DP() (in module DeepMTP.data.datasets)
process_dummy_MLC() (in module DeepMTP.data.datasets)
process_dummy_MTR() (in module DeepMTP.data.datasets)
process_instance_features() (in module DeepMTP.data.features)
process_interaction_data() (in module DeepMTP.data.interactions)
process_target_features() (in module DeepMTP.data.features)
ProcessedDatasetBundle (class in DeepMTP.data.datasets)
ProcessedDatasetSplit (class in DeepMTP.data.datasets)
ProcessedDatasetValue (class in DeepMTP.data.datasets)
progress() (DeepMTP.integrations.streamlit.progress.StreamlitAPI method)
ProgressEvent (class in DeepMTP)
(class in DeepMTP.runtime.presentation)
ProgressObserver (class in DeepMTP)
(class in DeepMTP.runtime.presentation)
R
r_i (DeepMTP.hpo.hyperband.HyperbandBracket attribute)
random_seed (DeepMTP.DeepMTPConfig attribute)
(DeepMTP.ReporterPredictionTable attribute)
(DeepMTP.runtime.reporting.ReporterPredictionTable attribute)
RandomSearch (class in DeepMTP.hpo.random_search)
(class in DeepMTP.integrations.streamlit.hpo)
rank (DeepMTP.FoundationLoRASpec attribute)
(DeepMTP.integrations.huggingface.FoundationLoRASpec attribute)
registry_collection (DeepMTP.ReporterModelArtifact attribute)
(DeepMTP.runtime.reporting.ReporterModelArtifact attribute)
registry_name (DeepMTP.ReporterModelArtifact attribute)
(DeepMTP.runtime.reporting.ReporterModelArtifact attribute)
render() (DeepMTP.RunHistory method)
(DeepMTP.runtime.presentation.RunHistory method)
replace_model() (DeepMTP.runtime.training.TrainingEngine method)
(DeepMTP.TrainingEngine method)
reporter (DeepMTP.DeepMTP attribute)
reporter_runtime_metadata() (in module DeepMTP.runtime.reporting)
ReporterModelArtifact (class in DeepMTP)
(class in DeepMTP.runtime.reporting)
ReporterPredictionTable (class in DeepMTP)
(class in DeepMTP.runtime.reporting)
require_pyg_data() (in module DeepMTP.data.graphs)
resolved_model_revision (DeepMTP.FoundationModelSpec attribute)
(DeepMTP.integrations.huggingface.FoundationModelSpec attribute)
resolved_tokenizer_revision (DeepMTP.FoundationModelSpec attribute)
(DeepMTP.integrations.huggingface.FoundationModelSpec attribute)
results (DeepMTP.EvaluationProgressEvent attribute)
(DeepMTP.runtime.evaluation_progress.EvaluationProgressEvent attribute)
results_path (DeepMTP.DeepMTPConfig attribute)
results_verbose (DeepMTP.DeepMTPConfig attribute)
return_results_per_target (DeepMTP.DeepMTPConfig attribute)
revision (DeepMTP.FoundationModelSpec attribute)
(DeepMTP.integrations.huggingface.FoundationModelSpec attribute)
rows (DeepMTP.integrations.huggingface.TokenizedFoundationSequences attribute)
(DeepMTP.TokenizedFoundationSequences attribute)
run_optimizer() (DeepMTP.hpo.hyperband.HyperBand method)
(DeepMTP.hpo.random_search.RandomSearch method)
RunHistory (class in DeepMTP)
(class in DeepMTP.runtime.presentation)
running_hpo (DeepMTP.DeepMTPConfig attribute)
RunSummaries (class in DeepMTP)
(class in DeepMTP.runtime.presentation)
runtime_metadata() (DeepMTP.CompositeReporter method)
(DeepMTP.NullReporter method)
(DeepMTP.runtime.reporting.CompositeReporter method)
(DeepMTP.runtime.reporting.NullReporter method)
(DeepMTP.runtime.reporting.TensorBoardReporter method)
(DeepMTP.runtime.reporting.WandBReporter method)
(DeepMTP.TensorBoardReporter method)
(DeepMTP.WandBReporter method)
S
sample_configuration() (DeepMTP.hpo.types.ConfigurationSpace method)
save_checkpoint() (DeepMTP.ExperimentStore method)
(DeepMTP.runtime.persistence.ExperimentStore method)
save_config() (DeepMTP.ExperimentStore method)
(DeepMTP.runtime.persistence.ExperimentStore method)
save_model (DeepMTP.DeepMTPConfig attribute)
save_model() (DeepMTP.DeepMTP method)
(DeepMTP.main.DeepMTP method)
save_summary() (DeepMTP.ExperimentStore method)
(DeepMTP.runtime.persistence.ExperimentStore method)
scales (DeepMTP.data.preprocessing.DenseScalingState attribute)
(DeepMTP.DenseScalingState attribute)
schema (DeepMTP.data.tabular.TabularPreprocessor attribute)
score (DeepMTP.data.batches.MTPBatch attribute)
(DeepMTP.data.loading.DatasetItem attribute)
(DeepMTP.hpo.progress.HPOProgressEvent attribute)
(DeepMTP.HPOProgressEvent attribute)
seed (DeepMTP.data.preprocessing.DataPreparationState attribute)
(DeepMTP.DataPreparationState attribute)
SequenceBranchBatch (class in DeepMTP.data.batches)
SequenceConv1DEncoder (class in DeepMTP)
(class in DeepMTP.models.branches)
SequenceGRUEncoder (class in DeepMTP)
(class in DeepMTP.models.branches)
SequenceInput (class in DeepMTP.data.batches)
SequenceTransformerEncoder (class in DeepMTP)
(class in DeepMTP.models.branches)
set_runtime_value() (DeepMTP.DeepMTPConfig method)
should_evaluate() (DeepMTP.EvaluationPolicy method)
(DeepMTP.runtime.evaluation.EvaluationPolicy method)
should_evaluate_training() (DeepMTP.EvaluationPolicy method)
(DeepMTP.runtime.evaluation.EvaluationPolicy method)
should_stop (DeepMTP.utils.model_utils.EarlyStoppingUpdate attribute)
shuffle (DeepMTP.data.preprocessing.DataPreparationState attribute)
(DeepMTP.DataPreparationState attribute)
smax (DeepMTP.hpo.progress.HPOProgressEvent attribute)
(DeepMTP.HPOProgressEvent attribute)
sparse_backend() (in module DeepMTP.data.sparse)
sparse_object_array() (in module DeepMTP.data.sparse)
SparseBranchBatch (class in DeepMTP.data.batches)
SparseMLP (class in DeepMTP)
(class in DeepMTP.models.branches)
spec (DeepMTP.integrations.huggingface.TokenizedFoundationSequences attribute)
(DeepMTP.TokenizedFoundationSequences attribute)
split (DeepMTP.ReporterPredictionTable attribute)
(DeepMTP.runtime.reporting.ReporterPredictionTable attribute)
split_data() (in module DeepMTP.data.splitting)
split_method (DeepMTP.data.preprocessing.DataPreparationState attribute)
(DeepMTP.DataPreparationState attribute)
split_ratio (DeepMTP.data.preprocessing.DataPreparationState attribute)
(DeepMTP.DataPreparationState attribute)
start() (DeepMTP.CompositeReporter method)
(DeepMTP.ExperimentReporter method)
(DeepMTP.NullReporter method)
(DeepMTP.runtime.reporting.CompositeReporter method)
(DeepMTP.runtime.reporting.ExperimentReporter method)
(DeepMTP.runtime.reporting.NullReporter method)
(DeepMTP.runtime.reporting.TensorBoardReporter method)
(DeepMTP.runtime.reporting.WandBReporter method)
(DeepMTP.TensorBoardReporter method)
(DeepMTP.WandBReporter method)
state (DeepMTP.data.tabular.TabularPreprocessor attribute)
status (DeepMTP.utils.model_utils.EarlyStoppingUpdate attribute)
StreamlitAPI (class in DeepMTP.integrations.streamlit.progress)
StreamlitHPOProgressObserver (class in DeepMTP.integrations.streamlit.progress)
StreamlitProgressObserver (class in DeepMTP.integrations.streamlit.progress)
subject (DeepMTP.data.progress.DataProgressEvent attribute)
(DeepMTP.DataProgressEvent attribute)
T
TabularBranchBatch (class in DeepMTP.data.batches)
TabularEncoder (class in DeepMTP)
(class in DeepMTP.models.branches)
TabularInput (class in DeepMTP.data.batches)
TabularPreprocessingState (class in DeepMTP.data.tabular)
TabularPreprocessor (class in DeepMTP.data.tabular)
TabularSchema (class in DeepMTP)
(class in DeepMTP.data.tabular)
target (DeepMTP.data.preprocessing.DensePreprocessingState attribute)
(DeepMTP.DensePreprocessingState attribute)
target_branch (DeepMTP.architecture.ArchitectureDescription attribute)
(DeepMTP.ArchitectureDescription attribute)
(DeepMTP.ModelBundle attribute)
(DeepMTP.models.factory.ModelBundle attribute)
target_branch_architecture (DeepMTP.DeepMTPConfig attribute)
target_branch_component_graph_edge_dims (DeepMTP.data.preparation.DataInfo attribute)
target_branch_component_input_dims (DeepMTP.data.preparation.DataInfo attribute)
target_branch_composite_attention_dim (DeepMTP.DeepMTPConfig attribute)
target_branch_composite_attention_num_heads (DeepMTP.DeepMTPConfig attribute)
target_branch_composite_components (DeepMTP.DeepMTPConfig attribute)
target_branch_composite_fusion (DeepMTP.DeepMTPConfig attribute)
target_branch_composite_modality_dropout (DeepMTP.DeepMTPConfig attribute)
target_branch_conv_architecture (DeepMTP.DeepMTPConfig attribute)
target_branch_conv_architecture_dense_layers (DeepMTP.DeepMTPConfig attribute)
target_branch_conv_architecture_last_layer_trained (DeepMTP.DeepMTPConfig attribute)
target_branch_conv_architecture_version (DeepMTP.DeepMTPConfig attribute)
target_branch_conv_pretrained (DeepMTP.DeepMTPConfig attribute)
target_branch_foundation_model (DeepMTP.DeepMTPConfig attribute)
target_branch_graph_edge_dim (DeepMTP.data.preparation.DataInfo attribute)
(DeepMTP.DeepMTPConfig attribute)
target_branch_graph_hidden_dim (DeepMTP.DeepMTPConfig attribute)
target_branch_graph_num_layers (DeepMTP.DeepMTPConfig attribute)
target_branch_graph_output_dim (DeepMTP.DeepMTPConfig attribute)
target_branch_graph_pooling (DeepMTP.DeepMTPConfig attribute)
target_branch_graph_use_edge_features (DeepMTP.DeepMTPConfig attribute)
target_branch_input_dim (DeepMTP.data.preparation.DataInfo attribute)
(DeepMTP.DeepMTPConfig attribute)
target_branch_layers (DeepMTP.DeepMTPConfig attribute)
target_branch_nodes_per_layer (DeepMTP.DeepMTPConfig attribute)
target_branch_nodes_reducing_factor (DeepMTP.DeepMTPConfig attribute)
target_branch_sequence_conv_kernel_size (DeepMTP.DeepMTPConfig attribute)
target_branch_sequence_embedding_dim (DeepMTP.DeepMTPConfig attribute)
target_branch_sequence_encoder (DeepMTP.DeepMTPConfig attribute)
target_branch_sequence_num_layers (DeepMTP.DeepMTPConfig attribute)
target_branch_sequence_output_dim (DeepMTP.DeepMTPConfig attribute)
target_branch_sequence_padding_idx (DeepMTP.DeepMTPConfig attribute)
target_branch_sequence_transformer_feedforward_dim (DeepMTP.DeepMTPConfig attribute)
target_branch_sequence_transformer_num_heads (DeepMTP.DeepMTPConfig attribute)
target_branch_tabular_schema (DeepMTP.DeepMTPConfig attribute)
target_component_kinds (DeepMTP.data.batches.MTPBatchCollator attribute)
target_component_optional (DeepMTP.data.batches.MTPBatchCollator attribute)
target_component_padding_indices (DeepMTP.data.batches.MTPBatchCollator attribute)
target_features (DeepMTP.data.batches.MTPBatch property)
(DeepMTP.data.loading.DatasetItem attribute)
target_id (DeepMTP.data.batches.MTPBatch attribute)
(DeepMTP.data.loading.DatasetItem attribute)
target_id_type (DeepMTP.data.interactions.InteractionInfo attribute)
target_ids (DeepMTP.EpochOutput attribute)
(DeepMTP.runtime.training.EpochOutput attribute)
target_inference_transforms (DeepMTP.DeepMTPConfig attribute)
target_input (DeepMTP.data.batches.MTPBatch attribute)
target_kind (DeepMTP.data.batches.MTPBatchCollator attribute)
target_modules (DeepMTP.FoundationLoRASpec attribute)
(DeepMTP.integrations.huggingface.FoundationLoRASpec attribute)
target_sequence_padding_idx (DeepMTP.data.batches.MTPBatchCollator attribute)
target_tabular_preprocessing_state (DeepMTP.DeepMTPConfig attribute)
target_train_transforms (DeepMTP.DeepMTPConfig attribute)
target_wise_pred_inverse_transformation() (in module DeepMTP.utils.eval_utils)
target_wise_true_inverse_transformation() (in module DeepMTP.utils.eval_utils)
task (DeepMTP.architecture.ArchitectureDescription attribute)
(DeepMTP.ArchitectureDescription attribute)
TaskComponents (class in DeepMTP.runtime.components)
TensorBoardReporter (class in DeepMTP)
(class in DeepMTP.runtime.reporting)
TensorBranchBatch (class in DeepMTP.data.batches)
test (DeepMTP.data.datasets.DatasetBundle attribute)
(DeepMTP.data.datasets.ProcessedDatasetBundle attribute)
(DeepMTP.data.loading.TrainingDataLoaders attribute)
(DeepMTP.RunSummaries attribute)
(DeepMTP.runtime.presentation.RunSummaries attribute)
(DeepMTP.TrainingDataLoaders attribute)
to() (DeepMTP.data.batches.CompositeBranchBatch method)
(DeepMTP.data.batches.CompositeInput method)
(DeepMTP.data.batches.GraphBranchBatch method)
(DeepMTP.data.batches.GraphInput method)
(DeepMTP.data.batches.MaskedComponentInput method)
(DeepMTP.data.batches.MTPBatch method)
(DeepMTP.data.batches.SequenceBranchBatch method)
(DeepMTP.data.batches.SequenceInput method)
(DeepMTP.data.batches.TabularBranchBatch method)
(DeepMTP.data.batches.TabularInput method)
(DeepMTP.data.batches.TensorBranchBatch method)
to_dict() (DeepMTP.architecture.ArchitectureDescription method)
(DeepMTP.ArchitectureDescription method)
(DeepMTP.data.preprocessing.DataPreparationState method)
(DeepMTP.data.preprocessing.DensePreprocessingState method)
(DeepMTP.data.preprocessing.DenseScalingState method)
(DeepMTP.data.tabular.CategoricalColumn method)
(DeepMTP.data.tabular.TabularPreprocessingState method)
(DeepMTP.data.tabular.TabularSchema method)
(DeepMTP.DataPreparationState method)
(DeepMTP.DeepMTPConfig method)
(DeepMTP.DensePreprocessingState method)
(DeepMTP.DenseScalingState method)
(DeepMTP.FoundationCacheSpec method)
(DeepMTP.FoundationLoRASpec method)
(DeepMTP.FoundationModelSpec method)
(DeepMTP.integrations.huggingface.FoundationLoRASpec method)
(DeepMTP.integrations.huggingface.FoundationModelSpec method)
(DeepMTP.TabularSchema method)
token_ids (DeepMTP.data.batches.SequenceInput attribute)
tokenize_foundation_sequences() (in module DeepMTP)
(in module DeepMTP.integrations.huggingface)
TokenizedFoundationSequences (class in DeepMTP)
(class in DeepMTP.integrations.huggingface)
tokenizer_load_revision (DeepMTP.FoundationModelSpec property)
(DeepMTP.integrations.huggingface.FoundationModelSpec property)
tokenizer_name (DeepMTP.FoundationModelSpec attribute)
(DeepMTP.integrations.huggingface.FoundationModelSpec attribute)
tokenizer_revision (DeepMTP.FoundationModelSpec attribute)
(DeepMTP.integrations.huggingface.FoundationModelSpec attribute)
top_k (DeepMTP.DeepMTPConfig attribute)
(DeepMTP.EvaluationProgressEvent attribute)
(DeepMTP.runtime.evaluation_progress.EvaluationProgressEvent attribute)
total (DeepMTP.architecture.ParameterStatistics attribute)
(DeepMTP.hpo.progress.HPOProgressEvent attribute)
(DeepMTP.HPOProgressEvent attribute)
(DeepMTP.ParameterStatistics attribute)
total_budget (DeepMTP.hpo.progress.HPOProgressEvent attribute)
(DeepMTP.HPOProgressEvent attribute)
train (DeepMTP.data.datasets.DatasetBundle attribute)
(DeepMTP.data.datasets.ProcessedDatasetBundle attribute)
(DeepMTP.data.loading.TrainingDataLoaders attribute)
(DeepMTP.RunSummaries attribute)
(DeepMTP.runtime.presentation.RunSummaries attribute)
(DeepMTP.TrainingDataLoaders attribute)
train() (DeepMTP.DeepMTP method)
(DeepMTP.HuggingFaceSequenceEncoder method)
(DeepMTP.integrations.huggingface.HuggingFaceSequenceEncoder method)
(DeepMTP.main.DeepMTP method)
train_batchsize (DeepMTP.DeepMTPConfig attribute)
train_epoch() (DeepMTP.runtime.training.TrainingEngine method)
(DeepMTP.TrainingEngine method)
train_mode (DeepMTP.FoundationModelSpec attribute)
(DeepMTP.integrations.huggingface.FoundationModelSpec attribute)
trainable (DeepMTP.architecture.ParameterStatistics attribute)
(DeepMTP.ParameterStatistics attribute)
trainable_fraction (DeepMTP.architecture.ParameterStatistics property)
(DeepMTP.ParameterStatistics property)
TrainingDataLoaders (class in DeepMTP)
(class in DeepMTP.data.loading)
TrainingEngine (class in DeepMTP)
(class in DeepMTP.runtime.training)
transform() (DeepMTP.data.preparation.Transformer method)
(DeepMTP.data.preprocessing.DenseScalingState method)
(DeepMTP.data.tabular.TabularPreprocessor method)
(DeepMTP.DenseScalingState method)
transform_dense_features() (DeepMTP.DeepMTP method)
(DeepMTP.main.DeepMTP method)
(in module DeepMTP)
(in module DeepMTP.data.preprocessing)
Transformer (class in DeepMTP.data.preparation)
true_values (DeepMTP.EpochOutput attribute)
(DeepMTP.runtime.training.EpochOutput attribute)
true_values_have_nan (DeepMTP.EvaluationProgressEvent attribute)
(DeepMTP.runtime.evaluation_progress.EvaluationProgressEvent attribute)
truncation (DeepMTP.FoundationModelSpec attribute)
(DeepMTP.integrations.huggingface.FoundationModelSpec attribute)
trust_remote_code (DeepMTP.FoundationModelSpec attribute)
(DeepMTP.integrations.huggingface.FoundationModelSpec attribute)
TwoBranchDotProductModel (class in DeepMTP)
(class in DeepMTP.models.factory)
TwoBranchKroneckerModel (class in DeepMTP)
(class in DeepMTP.models.factory)
TwoBranchMLPModel (class in DeepMTP)
(class in DeepMTP.models.factory)
U
unique_true_values (DeepMTP.EvaluationProgressEvent attribute)
(DeepMTP.runtime.evaluation_progress.EvaluationProgressEvent attribute)
update_config() (DeepMTP.CompositeReporter method)
(DeepMTP.NullReporter method)
(DeepMTP.runtime.reporting.CompositeReporter method)
(DeepMTP.runtime.reporting.NullReporter method)
(DeepMTP.runtime.reporting.TensorBoardReporter method)
(DeepMTP.runtime.reporting.WandBReporter method)
(DeepMTP.TensorBoardReporter method)
(DeepMTP.WandBReporter method)
update_reporter_config() (in module DeepMTP.runtime.reporting)
update_score() (DeepMTP.utils.utils.BaseExperimentInfo method)
use_early_stopping (DeepMTP.DeepMTPConfig attribute)
(DeepMTP.EvaluationPolicy attribute)
(DeepMTP.runtime.evaluation.EvaluationPolicy attribute)
use_instance_features (DeepMTP.DeepMTPConfig attribute)
use_target_features (DeepMTP.DeepMTPConfig attribute)
use_tensorboard_logger (DeepMTP.DeepMTPConfig attribute)
V
val (DeepMTP.data.datasets.DatasetBundle attribute)
(DeepMTP.data.datasets.ProcessedDatasetBundle attribute)
val_batchsize (DeepMTP.DeepMTPConfig attribute)
validate() (DeepMTP.DeepMTPConfig method)
validate_checkpoint_metadata() (in module DeepMTP.runtime.metadata)
validate_split_ratio() (in module DeepMTP.data.preparation)
validation (DeepMTP.data.loading.TrainingDataLoaders attribute)
(DeepMTP.RunSummaries attribute)
(DeepMTP.runtime.presentation.RunSummaries attribute)
(DeepMTP.TrainingDataLoaders attribute)
validation_setting (DeepMTP.architecture.ArchitectureDescription attribute)
(DeepMTP.ArchitectureDescription attribute)
(DeepMTP.data.preprocessing.DataPreparationState attribute)
(DeepMTP.DataPreparationState attribute)
(DeepMTP.DeepMTPConfig attribute)
value (DeepMTP.data.progress.DataProgressEvent attribute)
(DeepMTP.DataProgressEvent attribute)
values (DeepMTP.data.batches.CompositeBranchBatch attribute)
(DeepMTP.data.batches.GraphBranchBatch attribute)
(DeepMTP.data.batches.MaskedComponentInput attribute)
(DeepMTP.data.batches.SequenceBranchBatch attribute)
(DeepMTP.data.batches.TabularBranchBatch attribute)
(DeepMTP.data.batches.TensorBranchBatch attribute)
values_preview (DeepMTP.EvaluationProgressEvent attribute)
(DeepMTP.runtime.evaluation_progress.EvaluationProgressEvent attribute)
verbose (DeepMTP.DeepMTPConfig attribute)
vocabulary_size (DeepMTP.data.tabular.CategoricalColumn property)
(DeepMTP.integrations.huggingface.TokenizedFoundationSequences attribute)
(DeepMTP.TokenizedFoundationSequences attribute)
W
wandb_artifact (DeepMTP.DeepMTP attribute)
wandb_group (DeepMTP.DeepMTPConfig attribute)
wandb_input_artifacts (DeepMTP.DeepMTPConfig attribute)
wandb_job_type (DeepMTP.DeepMTPConfig attribute)
wandb_log_code (DeepMTP.DeepMTPConfig attribute)
wandb_log_graph (DeepMTP.DeepMTPConfig attribute)
wandb_log_model_artifact (DeepMTP.DeepMTPConfig attribute)
wandb_log_predictions (DeepMTP.DeepMTPConfig attribute)
wandb_mode (DeepMTP.DeepMTPConfig attribute)
wandb_model_artifact_aliases (DeepMTP.DeepMTPConfig attribute)
wandb_model_artifact_name (DeepMTP.DeepMTPConfig attribute)
wandb_notes (DeepMTP.DeepMTPConfig attribute)
wandb_prediction_table_max_rows (DeepMTP.DeepMTPConfig attribute)
wandb_project_entity (DeepMTP.DeepMTPConfig attribute)
wandb_project_name (DeepMTP.DeepMTPConfig attribute)
wandb_registry_collection (DeepMTP.DeepMTPConfig attribute)
wandb_registry_name (DeepMTP.DeepMTPConfig attribute)
wandb_run_name (DeepMTP.DeepMTPConfig attribute)
wandb_tags (DeepMTP.DeepMTPConfig attribute)
wandb_watch (DeepMTP.DeepMTPConfig attribute)
wandb_watch_log_freq (DeepMTP.DeepMTPConfig attribute)
WandBCheckpoint (class in DeepMTP)
(class in DeepMTP.runtime.wandb)
WandBReporter (class in DeepMTP)
(class in DeepMTP.runtime.reporting)
warnings (DeepMTP.architecture.ArchitectureDescription attribute)
(DeepMTP.ArchitectureDescription attribute)
weighted_loss (DeepMTP.DeepMTPConfig attribute)
X
X_instance (DeepMTP.data.datasets.DatasetSplit attribute)
(DeepMTP.data.datasets.ProcessedDatasetSplit attribute)
X_target (DeepMTP.data.datasets.DatasetSplit attribute)
(DeepMTP.data.datasets.ProcessedDatasetSplit attribute)
Y
y (DeepMTP.data.datasets.DatasetSplit attribute)
(DeepMTP.data.datasets.ProcessedDatasetSplit attribute)