Index

_

_create_engine() (pydgn.experiment.experiment.Experiment method) _create_model() (pydgn.experiment.experiment.Experiment method) _dict_helper() (pydgn.evaluation.random_search.RandomSearch method) _dispatch() (pydgn.training.event.dispatcher.EventDispatcher method) _gen_configs() (pydgn.evaluation.grid.Grid method) _gen_helper() (pydgn.evaluation.grid.Grid method) (pydgn.evaluation.random_search.RandomSearch method) _get_correct() (pydgn.training.callback.metric.MulticlassAccuracy static method) (pydgn.training.callback.metric.ToyMetric static method) _get_dataset() (pydgn.data.provider.DataProvider method) (pydgn.data.provider.LinkPredictionSingleGraphDataProvider method) (pydgn.data.provider.SingleGraphDataProvider method) _get_loader() (pydgn.data.provider.DataProvider method) (pydgn.data.provider.IterableDataProvider method) (pydgn.data.provider.LinkPredictionSingleGraphDataProvider method) (pydgn.data.provider.SingleGraphDataProvider method) (pydgn.data.provider.SingleGraphSequenceDataProvider method) _get_splitter() (pydgn.data.provider.DataProvider method) (pydgn.data.provider.LinkPredictionSingleGraphDataProvider method) (pydgn.data.provider.SingleGraphDataProvider method) (pydgn.data.splitter.Splitter method)

_init_assessment_pbar() (pydgn.evaluation.util.ProgressManager method) _init_selection_pbar() (pydgn.evaluation.util.ProgressManager method) _instantiate_loss() (pydgn.training.callback.metric.AdditiveLoss method) _istantiate_scorer() (pydgn.training.callback.metric.MultiScore method) _list_helper() (pydgn.evaluation.grid.Grid method) _loop() (pydgn.training.engine.DataStreamTrainingEngine method) (pydgn.training.engine.TrainingEngine method) _loop_helper() (pydgn.training.engine.GraphSequenceTrainingEngine method) (pydgn.training.engine.TrainingEngine method) _num_targets() (pydgn.training.engine.LinkPredictionSingleGraphEngine method) (pydgn.training.engine.TrainingEngine method) _restore_checkpoint_and_best_results() (pydgn.training.engine.TrainingEngine method) _return_class_and_args() (pydgn.experiment.experiment.Experiment method) _sampler_helper() (pydgn.evaluation.random_search.RandomSearch method) _splitter_args() (pydgn.data.splitter.LinkPredictionSingleGraphSplitter method) (pydgn.data.splitter.Splitter method) _to_data_list() (pydgn.training.engine.LinkPredictionSingleGraphEngine method) (pydgn.training.engine.TrainingEngine method) _to_list() (pydgn.training.engine.LinkPredictionSingleGraphEngine method) (pydgn.training.engine.TrainingEngine method) _train() (pydgn.training.engine.TrainingEngine method)

A

accumulate_predictions_and_targets() (pydgn.training.callback.metric.AdditiveLoss method) (pydgn.training.callback.metric.Metric method) (pydgn.training.callback.metric.MultiScore method)

AdditiveLoss (class in pydgn.training.callback.metric) atomic_save() (in module pydgn.training.util)

C

check_argument() (in module pydgn.data.util) choice() (in module pydgn.evaluation.util) Classification (class in pydgn.training.callback.metric) clear_screen() (in module pydgn.evaluation.util) collate_fn() (pydgn.data.provider.SingleGraphSequenceDataProvider class method) compute_metric() (pydgn.training.callback.metric.AdditiveLoss method) (pydgn.training.callback.metric.Classification method) (pydgn.training.callback.metric.DotProductLink method) (pydgn.training.callback.metric.Metric method) (pydgn.training.callback.metric.MulticlassAccuracy method) (pydgn.training.callback.metric.Regression method) (pydgn.training.callback.metric.ToyMetric method) (pydgn.training.callback.metric.ToyUnsupervisedMetric method)

ConcatFromListDataset (class in pydgn.data.dataset) Config (class in pydgn.evaluation.config) ConstantEdgeIfEmpty (class in pydgn.data.transform) ConstantIfEmpty (class in pydgn.data.transform) create_incremental_engine() (pydgn.experiment.experiment.Experiment method) create_incremental_model() (pydgn.experiment.experiment.Experiment method) create_supervised_engine() (pydgn.experiment.experiment.Experiment method) create_supervised_model() (pydgn.experiment.experiment.Experiment method) create_supervised_readout() (pydgn.experiment.experiment.Experiment method) create_unsupervised_engine() (pydgn.experiment.experiment.Experiment method) create_unsupervised_model() (pydgn.experiment.experiment.Experiment method)

D

DataProvider (class in pydgn.data.provider) DatasetInterface (class in pydgn.data.dataset) DataStreamTrainingEngine (class in pydgn.training.engine) Degree (class in pydgn.data.transform) dim_edge_features (pydgn.data.dataset.DatasetInterface property) (pydgn.data.dataset.IterableDatasetInterface property) (pydgn.data.dataset.OGBGDatasetInterface property) (pydgn.data.dataset.PlanetoidDatasetInterface property) (pydgn.data.dataset.ToyIterableDataset property) (pydgn.data.dataset.TUDatasetInterface property) dim_node_features (pydgn.data.dataset.DatasetInterface property) (pydgn.data.dataset.IterableDatasetInterface property) (pydgn.data.dataset.OGBGDatasetInterface property) (pydgn.data.dataset.PlanetoidDatasetInterface property) (pydgn.data.dataset.ToyIterableDataset property) (pydgn.data.dataset.TUDatasetInterface property)

dim_target (pydgn.data.dataset.DatasetInterface property) (pydgn.data.dataset.IterableDatasetInterface property) (pydgn.data.dataset.OGBGDatasetInterface property) (pydgn.data.dataset.PlanetoidDatasetInterface property) (pydgn.data.dataset.ToyIterableDataset property) (pydgn.data.dataset.TUDatasetInterface property) DotProductLink (class in pydgn.training.callback.metric) DotProductLinkReadout (class in pydgn.model.readout.link_readout) download() (pydgn.data.dataset.ConcatFromListDataset method) (pydgn.data.dataset.DatasetInterface method) (pydgn.data.dataset.IterableDatasetInterface method) (pydgn.data.dataset.OGBGDatasetInterface method) (pydgn.data.dataset.PlanetoidDatasetInterface method) (pydgn.data.dataset.ToyIterableDataset method) (pydgn.data.dataset.TUDatasetInterface method)

E

EarlyStopper (class in pydgn.training.callback.early_stopping) EngineCallback (class in pydgn.training.callback.engine_callback) EpochScheduler (class in pydgn.training.callback.scheduler)

EventDispatcher (class in pydgn.training.event.dispatcher) EventHandler (class in pydgn.training.event.handler) exp_name (pydgn.evaluation.grid.Grid property) Experiment (class in pydgn.experiment.experiment)

F

filter_adj() (in module pydgn.data.util) filter_experiments() (in module pydgn.evaluation.util) Fold (class in pydgn.data.splitter) forward() (pydgn.model.dgn.toy_dgn.ToyDGN method) (pydgn.model.dgn.toy_mlp.ToyMLP method) (pydgn.model.interface.ModelInterface method) (pydgn.model.interface.ReadoutInterface method) (pydgn.model.readout.graph_readout.LinearGraphReadout method) (pydgn.model.readout.link_readout.DotProductLinkReadout method) (pydgn.model.readout.node_readout.LinearNodeReadout method) (pydgn.training.callback.metric.AdditiveLoss method) (pydgn.training.callback.metric.Metric method) (pydgn.training.callback.metric.MultiScore method)

G

get() (pydgn.data.dataset.DatasetInterface method) (pydgn.data.dataset.IterableDatasetInterface method) (pydgn.data.dataset.TemporalDatasetInterface method) (pydgn.evaluation.config.Config method) get_dim_edge_features() (pydgn.data.provider.DataProvider method) get_dim_node_features() (pydgn.data.provider.DataProvider method) get_dim_target() (pydgn.data.provider.DataProvider method) get_inner_train() (pydgn.data.provider.DataProvider method) (pydgn.data.provider.LinkPredictionSingleGraphDataProvider method) (pydgn.data.provider.SingleGraphDataProvider method) get_inner_val() (pydgn.data.provider.DataProvider method) (pydgn.data.provider.LinkPredictionSingleGraphDataProvider method) (pydgn.data.provider.SingleGraphDataProvider method) get_main_metric_name() (pydgn.training.callback.metric.Metric method) (pydgn.training.callback.metric.MultiScore method) get_mask() (pydgn.data.dataset.TemporalDatasetInterface method) get_or_create_dir() (in module pydgn.data.util) get_outer_test() (pydgn.data.provider.DataProvider method) (pydgn.data.provider.LinkPredictionSingleGraphDataProvider method) (pydgn.data.provider.SingleGraphDataProvider method)

get_outer_train() (pydgn.data.provider.DataProvider method) (pydgn.data.provider.LinkPredictionSingleGraphDataProvider method) (pydgn.data.provider.SingleGraphDataProvider method) get_outer_val() (pydgn.data.provider.DataProvider method) (pydgn.data.provider.LinkPredictionSingleGraphDataProvider method) (pydgn.data.provider.SingleGraphDataProvider method) get_predictions_and_targets() (pydgn.training.callback.metric.Classification method) (pydgn.training.callback.metric.DotProductLink method) (pydgn.training.callback.metric.Metric method) (pydgn.training.callback.metric.MulticlassAccuracy method) (pydgn.training.callback.metric.Regression method) (pydgn.training.callback.metric.ToyMetric method) (pydgn.training.callback.metric.ToyUnsupervisedMetric method) get_targets() (pydgn.data.splitter.SingleGraphSequenceSplitter method) (pydgn.data.splitter.Splitter method) (pydgn.data.splitter.TemporalSplitter method) GradientClipper (class in pydgn.training.callback.gradient_clipping) GraphSequenceTrainingEngine (class in pydgn.training.engine) Grid (class in pydgn.evaluation.grid)

I

infer() (pydgn.training.engine.TrainingEngine method) InnerFold (class in pydgn.data.splitter) instantiate_dataset_from_config() (in module pydgn.evaluation.util) instantiate_model_from_config() (in module pydgn.evaluation.util)

items() (pydgn.evaluation.config.Config method) IterableDataProvider (class in pydgn.data.provider) IterableDatasetInterface (class in pydgn.data.dataset) IterableEngineCallback (class in pydgn.training.callback.engine_callback)

K

keys() (pydgn.evaluation.config.Config method)

L

len() (pydgn.data.dataset.DatasetInterface method) LinearGraphReadout (class in pydgn.model.readout.graph_readout) LinearNodeReadout (class in pydgn.model.readout.node_readout) LinkPredictionSingleGraphDataProvider (class in pydgn.data.provider) LinkPredictionSingleGraphEngine (class in pydgn.training.engine) LinkPredictionSingleGraphSplitter (class in pydgn.data.splitter) load() (pydgn.data.splitter.Splitter class method)

load_checkpoint() (in module pydgn.evaluation.util) load_dataset() (in module pydgn.data.util) load_state_dict() (pydgn.training.callback.optimizer.Optimizer method) log() (in module pydgn.training.engine) (pydgn.log.logger.Logger method) Logger (class in pydgn.log.logger) loguniform() (in module pydgn.evaluation.util)

M

MeanAverageError (class in pydgn.training.callback.metric) MeanSquareError (class in pydgn.training.callback.metric) Metric (class in pydgn.training.callback.metric) MetricScheduler (class in pydgn.training.callback.scheduler) model_selection() (pydgn.evaluation.evaluator.RiskAssesser method) ModelInterface (class in pydgn.model.interface) module pydgn pydgn.data.dataset pydgn.data.provider pydgn.data.sampler pydgn.data.splitter pydgn.data.transform pydgn.data.util pydgn.evaluation.config pydgn.evaluation.evaluator pydgn.evaluation.grid pydgn.evaluation.random_search pydgn.evaluation.util pydgn.experiment.experiment pydgn.experiment.semi_supervised_task pydgn.experiment.supervised_task pydgn.experiment.util pydgn.log.logger pydgn.model.dgn.toy_dgn pydgn.model.dgn.toy_mlp pydgn.model.interface pydgn.model.readout.graph_readout pydgn.model.readout.link_readout pydgn.model.readout.node_readout pydgn.training.callback.early_stopping pydgn.training.callback.engine_callback pydgn.training.callback.gradient_clipping pydgn.training.callback.metric pydgn.training.callback.optimizer pydgn.training.callback.plotter pydgn.training.callback.scheduler pydgn.training.engine pydgn.training.event.dispatcher pydgn.training.event.handler pydgn.training.event.state pydgn.training.profiler pydgn.training.util

MulticlassAccuracy (class in pydgn.training.callback.metric) MulticlassClassification (class in pydgn.training.callback.metric) MultiScore (class in pydgn.training.callback.metric)

N

name (pydgn.training.callback.metric.AdditiveLoss property) (pydgn.training.callback.metric.Classification property) (pydgn.training.callback.metric.DotProductLink property) (pydgn.training.callback.metric.MeanAverageError property) (pydgn.training.callback.metric.MeanSquareError property) (pydgn.training.callback.metric.Metric property) (pydgn.training.callback.metric.MulticlassAccuracy property) (pydgn.training.callback.metric.MulticlassClassification property) (pydgn.training.callback.metric.MultiScore property) (pydgn.training.callback.metric.Regression property) (pydgn.training.callback.metric.ToyMetric property) (pydgn.training.callback.metric.ToyUnsupervisedMetric property)

normal() (in module pydgn.evaluation.util) NoShuffleTrainTestSplit (class in pydgn.data.splitter) num_configs (pydgn.evaluation.grid.Grid property)

O

OGBGDatasetInterface (class in pydgn.data.dataset) OGBGSplitter (class in pydgn.data.splitter) ON_BACKWARD (pydgn.training.event.handler.EventHandler attribute) on_backward() (pydgn.training.callback.gradient_clipping.GradientClipper method) (pydgn.training.callback.metric.Metric method) (pydgn.training.event.handler.EventHandler method) ON_COMPUTE_METRICS (pydgn.training.event.handler.EventHandler attribute) on_compute_metrics() (pydgn.training.callback.metric.Metric method) (pydgn.training.event.handler.EventHandler method) ON_EPOCH_END (pydgn.training.event.handler.EventHandler attribute) on_epoch_end() (pydgn.training.callback.early_stopping.EarlyStopper method) (pydgn.training.callback.engine_callback.EngineCallback method) (pydgn.training.callback.optimizer.Optimizer method) (pydgn.training.callback.plotter.Plotter method) (pydgn.training.callback.plotter.WandbPlotter method) (pydgn.training.callback.scheduler.MetricScheduler method) (pydgn.training.callback.scheduler.Scheduler method) (pydgn.training.event.handler.EventHandler method) ON_EPOCH_START (pydgn.training.event.handler.EventHandler attribute) on_epoch_start() (pydgn.training.event.handler.EventHandler method) ON_EVAL_BATCH_END (pydgn.training.event.handler.EventHandler attribute) on_eval_batch_end() (pydgn.training.callback.metric.AdditiveLoss method) (pydgn.training.callback.metric.Metric method) (pydgn.training.callback.metric.MultiScore method) (pydgn.training.event.handler.EventHandler method) ON_EVAL_BATCH_START (pydgn.training.event.handler.EventHandler attribute) on_eval_batch_start() (pydgn.training.callback.metric.Metric method) (pydgn.training.event.handler.EventHandler method) ON_EVAL_EPOCH_END (pydgn.training.event.handler.EventHandler attribute) on_eval_epoch_end() (pydgn.training.callback.metric.AdditiveLoss method) (pydgn.training.callback.metric.Metric method) (pydgn.training.callback.metric.MultiScore method) (pydgn.training.event.handler.EventHandler method) ON_EVAL_EPOCH_START (pydgn.training.event.handler.EventHandler attribute) on_eval_epoch_start() (pydgn.training.callback.metric.AdditiveLoss method) (pydgn.training.callback.metric.Metric method) (pydgn.training.callback.metric.MultiScore method) (pydgn.training.event.handler.EventHandler method) ON_FETCH_DATA (pydgn.training.event.handler.EventHandler attribute)

on_fetch_data() (pydgn.training.callback.engine_callback.EngineCallback method) (pydgn.training.callback.engine_callback.IterableEngineCallback method) (pydgn.training.event.handler.EventHandler method) ON_FIT_END (pydgn.training.event.handler.EventHandler attribute) on_fit_end() (pydgn.training.callback.plotter.Plotter method) (pydgn.training.callback.plotter.WandbPlotter method) (pydgn.training.event.handler.EventHandler method) ON_FIT_START (pydgn.training.event.handler.EventHandler attribute) on_fit_start() (pydgn.training.callback.optimizer.Optimizer method) (pydgn.training.callback.scheduler.Scheduler method) (pydgn.training.event.handler.EventHandler method) ON_FORWARD (pydgn.training.event.handler.EventHandler attribute) on_forward() (pydgn.training.callback.engine_callback.EngineCallback method) (pydgn.training.callback.engine_callback.TemporalEngineCallback method) (pydgn.training.event.handler.EventHandler method) ON_TRAINING_BATCH_END (pydgn.training.event.handler.EventHandler attribute) on_training_batch_end() (pydgn.training.callback.metric.AdditiveLoss method) (pydgn.training.callback.metric.Metric method) (pydgn.training.callback.metric.MultiScore method) (pydgn.training.callback.optimizer.Optimizer method) (pydgn.training.event.handler.EventHandler method) ON_TRAINING_BATCH_START (pydgn.training.event.handler.EventHandler attribute) on_training_batch_start() (pydgn.training.callback.metric.Metric method) (pydgn.training.callback.optimizer.Optimizer method) (pydgn.training.event.handler.EventHandler method) ON_TRAINING_EPOCH_END (pydgn.training.event.handler.EventHandler attribute) on_training_epoch_end() (pydgn.training.callback.metric.AdditiveLoss method) (pydgn.training.callback.metric.Metric method) (pydgn.training.callback.metric.MultiScore method) (pydgn.training.callback.optimizer.Optimizer method) (pydgn.training.callback.scheduler.EpochScheduler method) (pydgn.training.event.handler.EventHandler method) ON_TRAINING_EPOCH_START (pydgn.training.event.handler.EventHandler attribute) on_training_epoch_start() (pydgn.training.callback.metric.AdditiveLoss method) (pydgn.training.callback.metric.Metric method) (pydgn.training.callback.metric.MultiScore method) (pydgn.training.callback.optimizer.Optimizer method) (pydgn.training.event.handler.EventHandler method) Optimizer (class in pydgn.training.callback.optimizer) OuterFold (class in pydgn.data.splitter)

P

PatienceEarlyStopper (class in pydgn.training.callback.early_stopping) PlanetoidDatasetInterface (class in pydgn.data.dataset) Plotter (class in pydgn.training.callback.plotter) preprocess_data() (in module pydgn.data.util) process() (pydgn.data.dataset.ConcatFromListDataset method) (pydgn.data.dataset.DatasetInterface method) (pydgn.data.dataset.IterableDatasetInterface method) (pydgn.data.dataset.OGBGDatasetInterface method) (pydgn.data.dataset.PlanetoidDatasetInterface method) (pydgn.data.dataset.ToyIterableDataset method) (pydgn.data.dataset.TUDatasetInterface method) process_config() (pydgn.evaluation.evaluator.RiskAssesser method) process_final_runs() (pydgn.evaluation.evaluator.RiskAssesser method) process_inner_results() (pydgn.evaluation.evaluator.RiskAssesser method) process_outer_results() (pydgn.evaluation.evaluator.RiskAssesser method) processed_dir (pydgn.data.dataset.IterableDatasetInterface property) processed_file_names (pydgn.data.dataset.ConcatFromListDataset property) (pydgn.data.dataset.DatasetInterface property) (pydgn.data.dataset.IterableDatasetInterface property) (pydgn.data.dataset.OGBGDatasetInterface property) (pydgn.data.dataset.ToyIterableDataset property) processed_paths (pydgn.data.dataset.IterableDatasetInterface property) Profiler (class in pydgn.training.profiler) ProgressManager (class in pydgn.evaluation.util) pydgn module pydgn.data.dataset module pydgn.data.provider module pydgn.data.sampler module pydgn.data.splitter module pydgn.data.transform module pydgn.data.util module pydgn.evaluation.config module pydgn.evaluation.evaluator module pydgn.evaluation.grid module pydgn.evaluation.random_search module pydgn.evaluation.util module

pydgn.experiment.experiment module pydgn.experiment.semi_supervised_task module pydgn.experiment.supervised_task module pydgn.experiment.util module pydgn.log.logger module pydgn.model.dgn.toy_dgn module pydgn.model.dgn.toy_mlp module pydgn.model.interface module pydgn.model.readout.graph_readout module pydgn.model.readout.link_readout module pydgn.model.readout.node_readout module pydgn.training.callback.early_stopping module pydgn.training.callback.engine_callback module pydgn.training.callback.gradient_clipping module pydgn.training.callback.metric module pydgn.training.callback.optimizer module pydgn.training.callback.plotter module pydgn.training.callback.scheduler module pydgn.training.engine module pydgn.training.event.dispatcher module pydgn.training.event.handler module pydgn.training.event.state module pydgn.training.profiler module pydgn.training.util module

R

randint() (in module pydgn.evaluation.util) RandomSampler (class in pydgn.data.sampler) RandomSearch (class in pydgn.evaluation.random_search) raw_dir (pydgn.data.dataset.IterableDatasetInterface property) raw_file_names (pydgn.data.dataset.ConcatFromListDataset property) (pydgn.data.dataset.DatasetInterface property) (pydgn.data.dataset.IterableDatasetInterface property) (pydgn.data.dataset.ToyIterableDataset property) raw_paths (pydgn.data.dataset.IterableDatasetInterface property) ReadoutInterface (class in pydgn.model.interface) refresh() (pydgn.evaluation.util.ProgressManager method) register() (pydgn.training.event.dispatcher.EventDispatcher method) Regression (class in pydgn.training.callback.metric) reorder() (in module pydgn.training.engine)

report() (pydgn.training.profiler.Profiler method) retrieve_best_configuration() (in module pydgn.evaluation.util) retrieve_experiments() (in module pydgn.evaluation.util) return_class_and_args() (in module pydgn.evaluation.util) risk_assessment() (pydgn.evaluation.evaluator.RiskAssesser method) RiskAssesser (class in pydgn.evaluation.evaluator) run_final_model() (pydgn.evaluation.evaluator.RiskAssesser method) run_test() (in module pydgn.evaluation.evaluator) (pydgn.experiment.experiment.Experiment method) (pydgn.experiment.semi_supervised_task.SemiSupervisedTask method) (pydgn.experiment.supervised_task.SupervisedTask method) run_valid() (in module pydgn.evaluation.evaluator) (pydgn.experiment.experiment.Experiment method) (pydgn.experiment.semi_supervised_task.SemiSupervisedTask method) (pydgn.experiment.supervised_task.SupervisedTask method)

S

s2c() (in module pydgn.experiment.util) SameInnerSplitSplitter (class in pydgn.data.splitter) save() (pydgn.data.splitter.Splitter method) Scheduler (class in pydgn.training.callback.scheduler) seed_worker() (in module pydgn.data.provider) SemiSupervisedTask (class in pydgn.experiment.semi_supervised_task) send_telegram_update() (in module pydgn.evaluation.evaluator) set_device() (pydgn.training.engine.TrainingEngine method) set_eval_mode() (pydgn.training.engine.TrainingEngine method) set_exp_seed() (pydgn.data.provider.DataProvider method) set_inner_k() (pydgn.data.provider.DataProvider method) set_outer_k() (pydgn.data.provider.DataProvider method) set_training_mode() (pydgn.training.engine.TrainingEngine method) show_footer() (pydgn.evaluation.util.ProgressManager method) show_header() (pydgn.evaluation.util.ProgressManager method) shuffle_urls() (pydgn.data.dataset.IterableDatasetInterface method) shuffle_urls_elements() (pydgn.data.dataset.IterableDatasetInterface method)

SingleGraphDataProvider (class in pydgn.data.provider) SingleGraphSequenceDataProvider (class in pydgn.data.provider) SingleGraphSequenceSplitter (class in pydgn.data.splitter) SingleGraphSplitter (class in pydgn.data.splitter) splice() (pydgn.data.dataset.IterableDatasetInterface method) split() (pydgn.data.splitter.LinkPredictionSingleGraphSplitter method) (pydgn.data.splitter.NoShuffleTrainTestSplit method) (pydgn.data.splitter.OGBGSplitter method) (pydgn.data.splitter.SameInnerSplitSplitter method) (pydgn.data.splitter.SingleGraphSequenceSplitter method) (pydgn.data.splitter.SingleGraphSplitter method) (pydgn.data.splitter.Splitter method) Splitter (class in pydgn.data.splitter) State (class in pydgn.training.event.state) stop() (pydgn.training.callback.early_stopping.EarlyStopper method) (pydgn.training.callback.early_stopping.PatienceEarlyStopper method) SupervisedTask (class in pydgn.experiment.supervised_task)

T

TemporalDatasetInterface (class in pydgn.data.dataset) TemporalEngineCallback (class in pydgn.training.callback.engine_callback) TemporalSplitter (class in pydgn.data.splitter) to_lower_triangular() (in module pydgn.data.util) todict() (pydgn.data.splitter.InnerFold method) (pydgn.data.splitter.OuterFold method) ToyDGN (class in pydgn.model.dgn.toy_dgn)

ToyIterableDataset (class in pydgn.data.dataset) ToyMetric (class in pydgn.training.callback.metric) ToyMLP (class in pydgn.model.dgn.toy_mlp) ToyUnsupervisedMetric (class in pydgn.training.callback.metric) train() (pydgn.training.engine.TrainingEngine method) train_val_test_edge_split() (pydgn.data.splitter.LinkPredictionSingleGraphSplitter method) TrainingEngine (class in pydgn.training.engine) TUDatasetInterface (class in pydgn.data.dataset)

U

uniform() (in module pydgn.evaluation.util) unregister() (pydgn.training.event.dispatcher.EventDispatcher method)

update() (pydgn.training.event.state.State method) update_state() (pydgn.evaluation.util.ProgressManager method)

W

wait_configs() (pydgn.evaluation.evaluator.RiskAssesser method)

WandbPlotter (class in pydgn.training.callback.plotter)

Z

ZipDataset (class in pydgn.data.dataset)