rocelib package

Subpackages

• rocelib.datasets package
  • Subpackages
    • rocelib.datasets.provided_datasets package
      • Submodules
      • rocelib.datasets.provided_datasets.AdultDatasetLoader module
      • rocelib.datasets.provided_datasets.ExampleDatasetLoader module
      • rocelib.datasets.provided_datasets.IonosphereDatasetLoader module
      • rocelib.datasets.provided_datasets.IrisDatasetLoader module
      • rocelib.datasets.provided_datasets.TitanicDatasetLoader module
      • Module contents
  • Submodules
  • rocelib.datasets.DatasetLoader module
  • rocelib.datasets.ExampleDatasets module
    • get_example_dataset()
  • Module contents
• rocelib.evaluations package
  • Submodules
  • rocelib.evaluations.DistanceEvaluator module
    • DistanceEvaluator
      • DistanceEvaluator.evaluate()
      • DistanceEvaluator.evaluate()
  • rocelib.evaluations.ManifoldEvaluator module
    • ManifoldEvaluator
      • ManifoldEvaluator.evaluate()
      • ManifoldEvaluator.evaluate()
  • rocelib.evaluations.RecourseEvaluator module
    • RecourseEvaluator
      • RecourseEvaluator.task
      • RecourseEvaluator.evaluate()
  • rocelib.evaluations.RobustnessProportionEvaluator module
    • RobustnessProportionEvaluator
      • RobustnessProportionEvaluator.evaluate()
      • RobustnessProportionEvaluator.evaluate()
  • rocelib.evaluations.ValidityEvaluator module
    • ValidityEvaluator
      • ValidityEvaluator.evaluate()
      • ValidityEvaluator.checkValidity()
      • ValidityEvaluator.evaluate()
  • Module contents
• rocelib.intabs package
  • Submodules
  • rocelib.intabs.IntervalAbstractionPyTorch module
    • IntervalAbstractionPytorch
      • IntervalAbstractionPytorch.evaluate()
      • IntervalAbstractionPytorch.create_weights_and_bias_dictionary()
  • Module contents
• rocelib.lib package
  • Subpackages
    • rocelib.lib.distance_functions package
      • Submodules
      • rocelib.lib.distance_functions.DistanceFunctions module
      • Module contents
  • Submodules
  • rocelib.lib.OptSolver module
    • OptSolver
      • OptSolver.setup()
  • rocelib.lib.PyTorchConversions module
    • keras_to_pytorch()
  • rocelib.lib.QuickTabulate module
    • quick_tabulate()
  • Module contents
• rocelib.model_evaluations package
  • Module contents
• rocelib.models package
  • Subpackages
    • rocelib.models.keras_models package
      • Submodules
      • rocelib.models.keras_models.TrainableKerasModel module
      • Module contents
    • rocelib.models.pytorch_models package
      • Submodules
      • rocelib.models.pytorch_models.TrainableCustomPyTorchModel module
      • rocelib.models.pytorch_models.TrainablePyTorchModel module
      • Module contents
    • rocelib.models.sklearn_models package
      • Submodules
      • rocelib.models.sklearn_models.TrainableDecisionTreeModel module
      • rocelib.models.sklearn_models.TrainableLogisticRegressionModel module
      • rocelib.models.sklearn_models.TrainableSVMModel module
      • rocelib.models.sklearn_models.TrainableSKLearnModel module
      • Module contents
  • Submodules
  • rocelib.models.TrainableModel module
    • TrainableModel
      • TrainableModel._model
      • TrainableModel.train()
      • TrainableModel.predict()
      • TrainableModel.predict_single()
      • TrainableModel.predict_proba()
      • TrainableModel.predict_proba_tensor()
      • TrainableModel.Properties()
      • TrainableModel.model
      • TrainableModel.train()
  • rocelib.models.Models module
    • get_sklearn_model()
  • Module contents
• rocelib.recourse_methods package
  • Submodules
  • rocelib.recourse_methods.BinaryLinearSearch module
    • BinaryLinearSearch
      • BinaryLinearSearch._task
      • BinaryLinearSearch.__customFunc
  • rocelib.recourse_methods.GuidedBinaryLinearSearch module
    • GuidedBinaryLinearSearch
  • rocelib.recourse_methods.KDTreeNNCE module
    • KDTreeNNCE
      • KDTreeNNCE._task
      • KDTreeNNCE.__customFunc
  • rocelib.recourse_methods.MCE module
    • MCE
      • MCE._task
      • MCE.__customFunc
      • MCE.opt
  • rocelib.recourse_methods.MCER module
    • MCER
      • MCER._task
      • MCER.__customFunc
      • MCER.mce
      • MCER.evaluator
  • rocelib.recourse_methods.ModelMultiplicityMILP module
    • ModelMultiplicityMILP
    • create_weights_and_bias_dictionary()
  • rocelib.recourse_methods.NNCE module
    • NNCE
      • NNCE._task
      • NNCE.__customFunc
  • rocelib.recourse_methods.RNCE module
    • RNCE
      • RNCE.intabs
      • RNCE.getCandidates()
  • rocelib.recourse_methods.RecourseGenerator module
    • RecourseGenerator
      • RecourseGenerator._task
      • RecourseGenerator.__customFunc
      • RecourseGenerator.custom_distance_func
      • RecourseGenerator.generate()
      • RecourseGenerator.generate_for_all()
      • RecourseGenerator.generate_for_instance()
      • RecourseGenerator.task
  • rocelib.recourse_methods.STCE module
    • TrexNN
      • TrexNN.counterfactual_stability()
  • rocelib.recourse_methods.Wachter module
    • CostLoss
      • CostLoss.forward()
    • Wachter
  • Module contents
• rocelib.robustness_evaluations package
  • Submodules
  • rocelib.robustness_evaluations.DeltaRobustnessEvaluator module
  • rocelib.robustness_evaluations.ModelChangesRobustnessEvaluator module
  • rocelib.robustness_evaluations.ModelChangesRobustnessScorer module
  • rocelib.robustness_evaluations.ModelChangesRobustnessSetEvaluator module
  • Module contents
• rocelib.tasks package
  • Submodules
  • rocelib.tasks.ClassificationTask module
    • ClassificationTask
      • ClassificationTask.model
      • ClassificationTask._dataset
      • ClassificationTask.add_evaluation_metric()
      • ClassificationTask.add_recourse_method()
      • ClassificationTask.convert_datatype()
      • ClassificationTask.evaluate()
      • ClassificationTask.generate()
      • ClassificationTask.generate_for_model_method()
      • ClassificationTask.generate_mm()
      • ClassificationTask.get_random_positive_instance()
      • ClassificationTask.save_evals_as_zip()
  • rocelib.tasks.Task module
    • Task
      • Task._dataset
      • Task.__model
      • Task.CEs
      • Task.ces
      • Task.dataset
      • Task.evaluate()
      • Task.generate()
      • Task.generate_mm()
      • Task.get_evaluation_metrics()
      • Task.get_random_positive_instance()
      • Task.get_recourse_methods()
      • Task.mm_CEs
      • Task.mm_models
      • Task.model
  • Module contents

Module contents