Index

_

__create_model() (robustx.lib.models.pytorch_models.SimpleNNModel.SimpleNNModel method) __customFunc (robustx.generators.CE_methods.BinaryLinearSearch.BinaryLinearSearch attribute) (robustx.generators.CE_methods.KDTreeNNCE.KDTreeNNCE attribute) (robustx.generators.CE_methods.MCE.MCE attribute) (robustx.generators.CE_methods.NNCE.NNCE attribute) (robustx.generators.CEGenerator.CEGenerator attribute) (robustx.generators.robust_CE_methods.MCER.MCER attribute) __model (robustx.lib.tasks.Task.Task attribute) _model (robustx.lib.models.BaseModel.BaseModel attribute) _task (robustx.generators.CE_methods.BinaryLinearSearch.BinaryLinearSearch attribute) (robustx.generators.CE_methods.KDTreeNNCE.KDTreeNNCE attribute) (robustx.generators.CE_methods.MCE.MCE attribute) (robustx.generators.CE_methods.NNCE.NNCE attribute) (robustx.generators.CEGenerator.CEGenerator attribute) (robustx.generators.robust_CE_methods.ArgEnsembling.ArgEnsembling attribute) (robustx.generators.robust_CE_methods.DiverseRobustCE.DiverseRobustCE attribute) (robustx.generators.robust_CE_methods.MCER.MCER attribute) (robustx.generators.robust_CE_methods.PROPLACE.PROPLACE attribute) (robustx.generators.robust_CE_methods.ROAR.ROAR attribute)

_training_data (robustx.lib.tasks.ClassificationTask.ClassificationTask attribute) (robustx.lib.tasks.Task.Task attribute)

A

achieved (robustx.generators.robust_CE_methods.PROPLACE.PROPLACE attribute) AdultDatasetLoader (class in robustx.datasets.provided_datasets.AdultDatasetLoader) alpha (robustx.robustness_evaluations.ApproximateDeltaRobustnessEvaluator.ApproximateDeltaRobustnessEvaluator attribute)

APAS (class in robustx.generators.robust_CE_methods.APAS) ApproximateDeltaRobustnessEvaluator (class in robustx.robustness_evaluations.ApproximateDeltaRobustnessEvaluator) ArgEnsembling (class in robustx.generators.robust_CE_methods.ArgEnsembling)

B

b_primes (robustx.generators.robust_CE_methods.PROPLACE.PROPLACE attribute)

BaseModel (class in robustx.lib.models.BaseModel) BinaryLinearSearch (class in robustx.generators.CE_methods.BinaryLinearSearch)

C

categorical (robustx.datasets.provided_datasets.ExampleDatasetLoader.ExampleDatasetLoader property) CEEvaluator (class in robustx.evaluations.CEEvaluator) CEGenerator (class in robustx.generators.CEGenerator) checkValidity() (robustx.evaluations.ValidityEvaluator.ValidityEvaluator method) ClassificationTask (class in robustx.lib.tasks.ClassificationTask) compute_accuracy() (robustx.lib.models.pytorch_models.SimpleNNModel.SimpleNNModel method) CostLoss (class in robustx.generators.CE_methods.Wachter)

counterfactual_stability() (robustx.generators.robust_CE_methods.STCE.STCE method) create_weights_and_bias_dictionary() (in module robustx.lib.intabs.WeightBiasDictionary) (robustx.lib.intabs.IntervalAbstractionPyTorch.IntervalAbstractionPytorch method) criterion (robustx.lib.models.pytorch_models.CustomPyTorchModel.CustomPyTorchModel attribute) (robustx.lib.models.pytorch_models.SimpleNNModel.SimpleNNModel attribute) custom_distance_func (robustx.generators.CEGenerator.CEGenerator property) CustomPyTorchModel (class in robustx.lib.models.pytorch_models.CustomPyTorchModel)

D

data (robustx.datasets.DatasetLoader.DatasetLoader property) DatasetLoader (class in robustx.datasets.DatasetLoader) DecisionTreeModel (class in robustx.lib.models.sklearn_models.DecisionTreeModel) default_benchmark() (in module robustx.lib.DefaultBenchmark) default_preprocess() (robustx.datasets.provided_datasets.ExampleDatasetLoader.ExampleDatasetLoader method), [1]

delta (robustx.generators.robust_CE_methods.PROPLACE.PROPLACE attribute) DeltaRobustnessEvaluator (class in robustx.robustness_evaluations.DeltaRobustnessEvaluator) DistanceEvaluator (class in robustx.evaluations.DistanceEvaluator) DiverseRobustCE (class in robustx.generators.robust_CE_methods.DiverseRobustCE) dl (robustx.generators.robust_CE_methods.ArgEnsembling.ArgEnsembling attribute)

E

euclidean() (in module robustx.lib.distance_functions.DistanceFunctions) evaluate() (robustx.evaluations.CEEvaluator.CEEvaluator method) (robustx.evaluations.DistanceEvaluator.DistanceEvaluator method), [1] (robustx.evaluations.ManifoldEvaluator.ManifoldEvaluator method), [1] (robustx.evaluations.RobustnessProportionEvaluator.RobustnessProportionEvaluator method), [1] (robustx.evaluations.ValidityEvaluator.ValidityEvaluator method), [1] (robustx.lib.intabs.IntervalAbstractionPyTorch.IntervalAbstractionPytorch method) (robustx.lib.models.BaseModel.BaseModel method) (robustx.lib.models.pytorch_models.CustomPyTorchModel.CustomPyTorchModel method), [1] (robustx.lib.models.pytorch_models.SimpleNNModel.SimpleNNModel method), [1] (robustx.lib.models.sklearn_models.SklearnModel.SklearnModel method) (robustx.robustness_evaluations.ApproximateDeltaRobustnessEvaluator.ApproximateDeltaRobustnessEvaluator method) (robustx.robustness_evaluations.DeltaRobustnessEvaluator.DeltaRobustnessEvaluator method) (robustx.robustness_evaluations.InputChangesRobustnessEvaluator.InputChangesRobustnessEvaluator method) (robustx.robustness_evaluations.ModelChangesRobustnessEvaluator.ModelChangesRobustnessEvaluator method) (robustx.robustness_evaluations.ModelChangesRobustnessSetEvaluator.ModelChangesRobustnessSetEvaluator method) (robustx.robustness_evaluations.ModelMultiplicityRobustnessEvaluator.ModelMultiplicityRobustnessEvaluator method) (robustx.robustness_evaluations.MultiplicityValidityRobustnessEvaluator.MultiplicityValidityRobustnessEvaluator method) (robustx.robustness_evaluations.SetDistanceRobustnessEvaluator.SetDistanceRobustnessEvaluator method) (robustx.robustness_evaluations.VaRRobustnessEvaluator.VaRRobustnessEvaluator method)

evaluate_single() (robustx.robustness_evaluations.MultiplicityValidityRobustnessEvaluator.MultiplicityValidityRobustnessEvaluator method) evaluator (robustx.generators.robust_CE_methods.MCER.MCER attribute) (robustx.robustness_evaluations.ModelChangesRobustnessSetEvaluator.ModelChangesRobustnessSetEvaluator attribute) ExampleDatasetLoader (class in robustx.datasets.provided_datasets.ExampleDatasetLoader)

F

forward() (robustx.generators.CE_methods.Wachter.CostLoss method)

G

generate() (robustx.generators.CEGenerator.CEGenerator method) generate_for_all() (robustx.generators.CEGenerator.CEGenerator method) generate_for_instance() (robustx.generators.CEGenerator.CEGenerator method) get_default_preprocessed_features() (robustx.datasets.provided_datasets.AdultDatasetLoader.AdultDatasetLoader method) (robustx.datasets.provided_datasets.ExampleDatasetLoader.ExampleDatasetLoader method), [1] (robustx.datasets.provided_datasets.IonosphereDatasetLoader.IonosphereDatasetLoader method) (robustx.datasets.provided_datasets.IrisDatasetLoader.IrisDatasetLoader method) (robustx.datasets.provided_datasets.TitanicDatasetLoader.TitanicDatasetLoader method) get_example_dataset() (in module robustx.datasets.ExampleDatasets) get_feature_names() (robustx.datasets.provided_datasets.TitanicDatasetLoader.TitanicDatasetLoader method)

get_negative_instances() (robustx.datasets.DatasetLoader.DatasetLoader method), [1] (robustx.lib.tasks.ClassificationTask.ClassificationTask method) (robustx.lib.tasks.Task.Task method) get_preprocessed_features() (robustx.datasets.provided_datasets.ExampleDatasetLoader.ExampleDatasetLoader method), [1] get_random_positive_instance() (robustx.datasets.DatasetLoader.DatasetLoader method), [1] (robustx.lib.tasks.ClassificationTask.ClassificationTask method) (robustx.lib.tasks.Task.Task method) get_sklearn_model() (in module robustx.lib.models.Models) get_torch_model() (robustx.lib.models.pytorch_models.SimpleNNModel.SimpleNNModel method), [1] getCandidates() (robustx.generators.robust_CE_methods.RNCE.RNCE method) GuidedBinaryLinearSearch (class in robustx.generators.CE_methods.GuidedBinaryLinearSearch)

H

hidden_dim (robustx.lib.models.pytorch_models.SimpleNNModel.SimpleNNModel attribute)

I

input_dim (robustx.lib.models.pytorch_models.SimpleNNModel.SimpleNNModel attribute) InputChangesRobustnessEvaluator (class in robustx.robustness_evaluations.InputChangesRobustnessEvaluator) intabs (robustx.generators.robust_CE_methods.RNCE.RNCE attribute)

IntervalAbstractionPytorch (class in robustx.lib.intabs.IntervalAbstractionPyTorch) IonosphereDatasetLoader (class in robustx.datasets.provided_datasets.IonosphereDatasetLoader) IrisDatasetLoader (class in robustx.datasets.provided_datasets.IrisDatasetLoader)

K

KDTreeNNCE (class in robustx.generators.CE_methods.KDTreeNNCE)

L

layers (robustx.generators.robust_CE_methods.PROPLACE.PROPLACE attribute) load_data() (robustx.datasets.provided_datasets.AdultDatasetLoader.AdultDatasetLoader method) (robustx.datasets.provided_datasets.ExampleDatasetLoader.ExampleDatasetLoader method), [1] (robustx.datasets.provided_datasets.IonosphereDatasetLoader.IonosphereDatasetLoader method) (robustx.datasets.provided_datasets.IrisDatasetLoader.IrisDatasetLoader method) (robustx.datasets.provided_datasets.TitanicDatasetLoader.TitanicDatasetLoader method)

LogisticRegressionModel (class in robustx.lib.models.sklearn_models.LogisticRegressionModel)

M

manhattan() (in module robustx.lib.distance_functions.DistanceFunctions) ManifoldEvaluator (class in robustx.evaluations.ManifoldEvaluator) MCE (class in robustx.generators.CE_methods.MCE) mce (robustx.generators.robust_CE_methods.MCER.MCER attribute) MCER (class in robustx.generators.robust_CE_methods.MCER) model (robustx.lib.models.BaseModel.BaseModel property) (robustx.lib.models.pytorch_models.CustomPyTorchModel.CustomPyTorchModel attribute) (robustx.lib.tasks.ClassificationTask.ClassificationTask attribute) (robustx.lib.tasks.Task.Task property) ModelChangesRobustnessEvaluator (class in robustx.robustness_evaluations.ModelChangesRobustnessEvaluator) ModelChangesRobustnessScorer (class in robustx.robustness_evaluations.ModelChangesRobustnessScorer) ModelChangesRobustnessSetEvaluator (class in robustx.robustness_evaluations.ModelChangesRobustnessSetEvaluator) ModelMultiplicityMILP (class in robustx.generators.robust_CE_methods.ModelMultiplicityMILP) ModelMultiplicityRobustnessEvaluator (class in robustx.robustness_evaluations.ModelMultiplicityRobustnessEvaluator) models (robustx.generators.robust_CE_methods.ArgEnsembling.ArgEnsembling attribute) (robustx.robustness_evaluations.VaRRobustnessEvaluator.VaRRobustnessEvaluator attribute) module robustx robustx.datasets robustx.datasets.DatasetLoader robustx.datasets.ExampleDatasets robustx.datasets.provided_datasets robustx.datasets.provided_datasets.AdultDatasetLoader robustx.datasets.provided_datasets.ExampleDatasetLoader robustx.datasets.provided_datasets.IonosphereDatasetLoader robustx.datasets.provided_datasets.IrisDatasetLoader robustx.datasets.provided_datasets.TitanicDatasetLoader robustx.evaluations robustx.evaluations.CEEvaluator robustx.evaluations.DistanceEvaluator robustx.evaluations.ManifoldEvaluator robustx.evaluations.RobustnessProportionEvaluator robustx.evaluations.ValidityEvaluator robustx.generators robustx.generators.CE_methods robustx.generators.CE_methods.BinaryLinearSearch robustx.generators.CE_methods.GuidedBinaryLinearSearch robustx.generators.CE_methods.KDTreeNNCE robustx.generators.CE_methods.MCE robustx.generators.CE_methods.NNCE robustx.generators.CE_methods.Wachter robustx.generators.CEGenerator robustx.generators.robust_CE_methods robustx.generators.robust_CE_methods.APAS robustx.generators.robust_CE_methods.ArgEnsembling robustx.generators.robust_CE_methods.DiverseRobustCE robustx.generators.robust_CE_methods.MCER robustx.generators.robust_CE_methods.ModelMultiplicityMILP robustx.generators.robust_CE_methods.PROPLACE robustx.generators.robust_CE_methods.RNCE robustx.generators.robust_CE_methods.ROAR robustx.generators.robust_CE_methods.STCE robustx.lib robustx.lib.DefaultBenchmark robustx.lib.distance_functions robustx.lib.distance_functions.DistanceFunctions robustx.lib.intabs robustx.lib.intabs.IntervalAbstractionPyTorch robustx.lib.intabs.WeightBiasDictionary robustx.lib.models robustx.lib.models.BaseModel robustx.lib.models.keras_models robustx.lib.models.Models robustx.lib.models.pytorch_models robustx.lib.models.pytorch_models.CustomPyTorchModel robustx.lib.models.pytorch_models.SimpleNNModel robustx.lib.models.sklearn_models robustx.lib.models.sklearn_models.DecisionTreeModel robustx.lib.models.sklearn_models.LogisticRegressionModel robustx.lib.models.sklearn_models.SklearnModel robustx.lib.models.sklearn_models.SVMModel robustx.lib.OptSolver robustx.lib.tasks robustx.lib.tasks.ClassificationTask robustx.lib.tasks.Task robustx.model_evaluations robustx.robustness_evaluations robustx.robustness_evaluations.ApproximateDeltaRobustnessEvaluator robustx.robustness_evaluations.DeltaRobustnessEvaluator robustx.robustness_evaluations.InputChangesRobustnessEvaluator robustx.robustness_evaluations.ModelChangesRobustnessEvaluator robustx.robustness_evaluations.ModelChangesRobustnessScorer robustx.robustness_evaluations.ModelChangesRobustnessSetEvaluator robustx.robustness_evaluations.ModelMultiplicityRobustnessEvaluator robustx.robustness_evaluations.MultiplicityValidityRobustnessEvaluator robustx.robustness_evaluations.SetDistanceRobustnessEvaluator robustx.robustness_evaluations.VaRRobustnessEvaluator

MultiplicityValidityRobustnessEvaluator (class in robustx.robustness_evaluations.MultiplicityValidityRobustnessEvaluator)

N

neg_value (robustx.generators.robust_CE_methods.PROPLACE.PROPLACE attribute)

NNCE (class in robustx.generators.CE_methods.NNCE) numerical (robustx.datasets.provided_datasets.ExampleDatasetLoader.ExampleDatasetLoader property)

O

opt (robustx.generators.CE_methods.MCE.MCE attribute) (robustx.robustness_evaluations.DeltaRobustnessEvaluator.DeltaRobustnessEvaluator attribute) optimizer (robustx.lib.models.pytorch_models.CustomPyTorchModel.CustomPyTorchModel attribute) (robustx.lib.models.pytorch_models.SimpleNNModel.SimpleNNModel attribute)

OptSolver (class in robustx.lib.OptSolver) orig_b (robustx.generators.robust_CE_methods.PROPLACE.PROPLACE attribute) orig_w (robustx.generators.robust_CE_methods.PROPLACE.PROPLACE attribute) output_dim (robustx.lib.models.pytorch_models.SimpleNNModel.SimpleNNModel attribute)

P

perturb_input() (robustx.robustness_evaluations.InputChangesRobustnessEvaluator.InputChangesRobustnessEvaluator method) predict() (robustx.lib.models.BaseModel.BaseModel method), [1] (robustx.lib.models.pytorch_models.CustomPyTorchModel.CustomPyTorchModel method), [1] (robustx.lib.models.pytorch_models.SimpleNNModel.SimpleNNModel method), [1] (robustx.lib.models.sklearn_models.SklearnModel.SklearnModel method) predict_proba() (robustx.lib.models.BaseModel.BaseModel method), [1] (robustx.lib.models.pytorch_models.CustomPyTorchModel.CustomPyTorchModel method), [1] (robustx.lib.models.pytorch_models.SimpleNNModel.SimpleNNModel method), [1] (robustx.lib.models.sklearn_models.SklearnModel.SklearnModel method)

predict_proba_tensor() (robustx.lib.models.BaseModel.BaseModel method), [1] (robustx.lib.models.pytorch_models.SimpleNNModel.SimpleNNModel method), [1] (robustx.lib.models.sklearn_models.SklearnModel.SklearnModel method) predict_single() (robustx.lib.models.BaseModel.BaseModel method), [1] (robustx.lib.models.pytorch_models.CustomPyTorchModel.CustomPyTorchModel method), [1] (robustx.lib.models.pytorch_models.SimpleNNModel.SimpleNNModel method), [1] (robustx.lib.models.sklearn_models.SklearnModel.SklearnModel method) preprocess() (robustx.datasets.provided_datasets.ExampleDatasetLoader.ExampleDatasetLoader method), [1] Properties() (robustx.lib.models.BaseModel.BaseModel method) PROPLACE (class in robustx.generators.robust_CE_methods.PROPLACE)

R

R (robustx.robustness_evaluations.ApproximateDeltaRobustnessEvaluator.ApproximateDeltaRobustnessEvaluator attribute) RNCE (class in robustx.generators.robust_CE_methods.RNCE) rnce (robustx.generators.robust_CE_methods.PROPLACE.PROPLACE attribute) ROAR (class in robustx.generators.robust_CE_methods.ROAR) RobustnessProportionEvaluator (class in robustx.evaluations.RobustnessProportionEvaluator) robustx module robustx.datasets module robustx.datasets.DatasetLoader module robustx.datasets.ExampleDatasets module robustx.datasets.provided_datasets module robustx.datasets.provided_datasets.AdultDatasetLoader module robustx.datasets.provided_datasets.ExampleDatasetLoader module robustx.datasets.provided_datasets.IonosphereDatasetLoader module robustx.datasets.provided_datasets.IrisDatasetLoader module robustx.datasets.provided_datasets.TitanicDatasetLoader module robustx.evaluations module robustx.evaluations.CEEvaluator module robustx.evaluations.DistanceEvaluator module robustx.evaluations.ManifoldEvaluator module robustx.evaluations.RobustnessProportionEvaluator module robustx.evaluations.ValidityEvaluator module robustx.generators module robustx.generators.CE_methods module robustx.generators.CE_methods.BinaryLinearSearch module robustx.generators.CE_methods.GuidedBinaryLinearSearch module robustx.generators.CE_methods.KDTreeNNCE module robustx.generators.CE_methods.MCE module robustx.generators.CE_methods.NNCE module robustx.generators.CE_methods.Wachter module robustx.generators.CEGenerator module robustx.generators.robust_CE_methods module robustx.generators.robust_CE_methods.APAS module robustx.generators.robust_CE_methods.ArgEnsembling module robustx.generators.robust_CE_methods.DiverseRobustCE module robustx.generators.robust_CE_methods.MCER module robustx.generators.robust_CE_methods.ModelMultiplicityMILP module robustx.generators.robust_CE_methods.PROPLACE module robustx.generators.robust_CE_methods.RNCE module robustx.generators.robust_CE_methods.ROAR module

robustx.generators.robust_CE_methods.STCE module robustx.lib module robustx.lib.DefaultBenchmark module robustx.lib.distance_functions module robustx.lib.distance_functions.DistanceFunctions module robustx.lib.intabs module robustx.lib.intabs.IntervalAbstractionPyTorch module robustx.lib.intabs.WeightBiasDictionary module robustx.lib.models module robustx.lib.models.BaseModel module robustx.lib.models.keras_models module robustx.lib.models.Models module robustx.lib.models.pytorch_models module robustx.lib.models.pytorch_models.CustomPyTorchModel module robustx.lib.models.pytorch_models.SimpleNNModel module robustx.lib.models.sklearn_models module robustx.lib.models.sklearn_models.DecisionTreeModel module robustx.lib.models.sklearn_models.LogisticRegressionModel module robustx.lib.models.sklearn_models.SklearnModel module robustx.lib.models.sklearn_models.SVMModel module robustx.lib.OptSolver module robustx.lib.tasks module robustx.lib.tasks.ClassificationTask module robustx.lib.tasks.Task module robustx.model_evaluations module robustx.robustness_evaluations module robustx.robustness_evaluations.ApproximateDeltaRobustnessEvaluator module robustx.robustness_evaluations.DeltaRobustnessEvaluator module robustx.robustness_evaluations.InputChangesRobustnessEvaluator module robustx.robustness_evaluations.ModelChangesRobustnessEvaluator module robustx.robustness_evaluations.ModelChangesRobustnessScorer module robustx.robustness_evaluations.ModelChangesRobustnessSetEvaluator module robustx.robustness_evaluations.ModelMultiplicityRobustnessEvaluator module robustx.robustness_evaluations.MultiplicityValidityRobustnessEvaluator module robustx.robustness_evaluations.SetDistanceRobustnessEvaluator module robustx.robustness_evaluations.VaRRobustnessEvaluator module

S

score() (robustx.robustness_evaluations.ModelChangesRobustnessScorer.ModelChangesRobustnessScorer method) set_weights() (robustx.lib.models.pytorch_models.SimpleNNModel.SimpleNNModel method), [1] SetDistanceRobustnessEvaluator (class in robustx.robustness_evaluations.SetDistanceRobustnessEvaluator) setup() (robustx.lib.OptSolver.OptSolver method)

SimpleNNModel (class in robustx.lib.models.pytorch_models.SimpleNNModel) SklearnModel (class in robustx.lib.models.sklearn_models.SklearnModel) STCE (class in robustx.generators.robust_CE_methods.STCE) SVMModel (class in robustx.lib.models.sklearn_models.SVMModel)

T

Task (class in robustx.lib.tasks.Task) task (robustx.evaluations.CEEvaluator.CEEvaluator attribute) (robustx.generators.CEGenerator.CEGenerator property) (robustx.robustness_evaluations.ApproximateDeltaRobustnessEvaluator.ApproximateDeltaRobustnessEvaluator attribute) (robustx.robustness_evaluations.DeltaRobustnessEvaluator.DeltaRobustnessEvaluator attribute) (robustx.robustness_evaluations.ModelChangesRobustnessSetEvaluator.ModelChangesRobustnessSetEvaluator attribute) (robustx.robustness_evaluations.VaRRobustnessEvaluator.VaRRobustnessEvaluator attribute)

TitanicDatasetLoader (class in robustx.datasets.provided_datasets.TitanicDatasetLoader) train() (robustx.lib.models.BaseModel.BaseModel method), [1] (robustx.lib.models.pytorch_models.CustomPyTorchModel.CustomPyTorchModel method), [1] (robustx.lib.models.pytorch_models.SimpleNNModel.SimpleNNModel method), [1] (robustx.lib.models.sklearn_models.SklearnModel.SklearnModel method) training_data (robustx.lib.tasks.Task.Task property)

V

ValidityEvaluator (class in robustx.evaluations.ValidityEvaluator)

VaRRobustnessEvaluator (class in robustx.robustness_evaluations.VaRRobustnessEvaluator)

W

w_primes (robustx.generators.robust_CE_methods.PROPLACE.PROPLACE attribute)

Wachter (class in robustx.generators.CE_methods.Wachter)

X

X (robustx.datasets.DatasetLoader.DatasetLoader property) (robustx.datasets.provided_datasets.AdultDatasetLoader.AdultDatasetLoader property) (robustx.datasets.provided_datasets.IonosphereDatasetLoader.IonosphereDatasetLoader property) (robustx.datasets.provided_datasets.IrisDatasetLoader.IrisDatasetLoader property) (robustx.datasets.provided_datasets.TitanicDatasetLoader.TitanicDatasetLoader property)

x_prime_current (robustx.generators.robust_CE_methods.PROPLACE.PROPLACE attribute) x_prime_star (robustx.generators.robust_CE_methods.PROPLACE.PROPLACE attribute)

Y

y (robustx.datasets.DatasetLoader.DatasetLoader property) (robustx.datasets.provided_datasets.AdultDatasetLoader.AdultDatasetLoader property) (robustx.datasets.provided_datasets.IonosphereDatasetLoader.IonosphereDatasetLoader property) (robustx.datasets.provided_datasets.IrisDatasetLoader.IrisDatasetLoader property) (robustx.datasets.provided_datasets.TitanicDatasetLoader.TitanicDatasetLoader property)