Contents:
This pages contains a list of available features in the library.
AttributionFactory
Interpreter
get_attr()
DecisionBoundaryCalculator
GradientFlowDecisionBoundaryCalculator
QuasihyperbolicDecisionBoundaryCalculator
UniformlySampledPoint
AbstractPreprocessing
DatasetFactory
DatasetFactory.build()
DatasetFactory.register_builder()
MissingVocabularyError
PreprocessingPipeline
TransformingDataset
FilterPersistenceDiagramByHomologyDimension
FilterPersistenceDiagramByLifetime
MinMaxScalarPersistenceDiagram
Normalization
NormalizationPersistenceDiagram
ToTensorImage
TokenizerQA
TokenizerTextClassification
TokenizerTranslation
AbstractDataLoaderBuilder
DataLoaderBuilder
DataLoaderKwargs
DatasetBuilder
DatasetCloud
DlBuilderFromDataCloud
FromArray
ImageClassificationFromFiles
OrbitsGenerator
PersistenceDiagramFromFiles
Rotation
ToriDataset
create_pd_orbits()
generate_orbit_parallel()
get_dataset()
OneHotEncodedPersistenceDiagram
collate_fn_persistence_diagrams()
get_one_hot_encoded_persistence_diagram_from_gtda()
get_one_hot_encoded_persistence_diagram_from_gudhi_extended()
FFNet
FFNet.forward()
ModelExtractor
ModelExtractor.get_activations()
ModelExtractor.get_decision_boundary()
ModelExtractor.get_gradients()
ModelExtractor.get_layers_grads()
ModelExtractor.get_layers_param()
PeriodicNeuralNetwork
PeriodicNeuralNetwork.forward()
SaveLayerOutput
SaveNodeOutput
SaveOutput
Regularizer
TihonovRegularizer
TihonovRegularizer.regularization_penalty()
TopologicalRegularizer
TopologicalRegularizer.regularization_penalty()
TopologicalRegularizerData
Trainer
Trainer.copy_dataloader_params()
Trainer.evaluate_classification()
Trainer.parallel_tpu_training_loops()
Trainer.register_pipe_hook()
Trainer.train()
TrainerConfig
TrainerConfig.to_dict()
accuracy()
Benchmark
Benchmark.start()
GiottoSummaryWriter
GiottoSummaryWriter.add_hparams()
HPOConfig
HPOConfig.to_dict()
HyperParameterOptimization
HyperParameterOptimization.start()
clean_up_files()
Persformer
Persformer.build_model()
Persformer.forward()
PersformerConfig
PersformerWrapper
PersformerWrapper.forward()
ActivationFunction
AttentionType
KnownWarningSilencer
LayerNormStyle
PoolerType
autoreload_if_notebook()
ensemble_wrapper()
get_parameter_types()
get_return_type()
is_notebook()
save_model_and_optimizer()
torch_transform()
MissingClosureError
PersistenceGradient
SAM
SAMOptimizer
graph_extended_persistence_hks()
Index
Module Index