Index A | B | C | D | E | F | G | K | L | M | O | P | R | S | T A add() (xaib.base.Factory method) add_metric() (xaib.base.Case method) B batch_count_eq() (in module xaib.utils) batch_gini() (in module xaib.utils) batch_rmse() (in module xaib.utils) C Case (class in xaib.base) CoherenceCase (class in xaib.cases.example_selection) (class in xaib.cases.feature_importance) CompactnessCase (class in xaib.cases.feature_importance) compute() (xaib.base.Metric method) (xaib.metrics.example_selection.covariate_regularity.CovariateRegularity method) (xaib.metrics.example_selection.model_randomization_check.ModelRandomizationCheck method) (xaib.metrics.example_selection.same_class_check.SameClassCheck method) (xaib.metrics.example_selection.small_noise_check.SmallNoiseCheck method) (xaib.metrics.example_selection.target_discriminativeness.TargetDiscriminativeness method) (xaib.metrics.feature_importance.covariate_regularity.CovariateRegularity method) (xaib.metrics.feature_importance.label_difference.LabelDifference method) (xaib.metrics.feature_importance.model_randomization_check.ModelRandomizationCheck method) (xaib.metrics.feature_importance.other_disagreement.OtherDisagreement method) (xaib.metrics.feature_importance.small_noise_check.SmallNoiseCheck method) (xaib.metrics.feature_importance.sparsity.Sparsity method) ConstantExplainer (class in xaib.explainers.example_selection.constant_explainer) (class in xaib.explainers.feature_importance.constant_explainer) ContinuityCase (class in xaib.cases.example_selection) (class in xaib.cases.feature_importance) ContrastivityCase (class in xaib.cases.example_selection) (class in xaib.cases.feature_importance) CorrectnessCase (class in xaib.cases.example_selection) (class in xaib.cases.feature_importance) CovariateComplexityCase (class in xaib.cases.example_selection) (class in xaib.cases.feature_importance) CovariateRegularity (class in xaib.metrics.example_selection.covariate_regularity) (class in xaib.metrics.feature_importance.covariate_regularity) D Dataset (class in xaib.base) E entropy() (in module xaib.utils) evaluate() (xaib.base.Case method) (xaib.base.Metric method) Explainer (class in xaib.base) F Factory (class in xaib.base) G get() (xaib.base.Factory method) get_constructor() (xaib.base.Factory method) get_meta() (xaib.datasets.sk_dataset.SkDataset method) (xaib.datasets.synthetic_dataset.SyntheticDataset method) get_names() (xaib.base.Factory method) K KNNExplainer (class in xaib.explainers.example_selection.knn_explainer) L LabelDifference (class in xaib.metrics.feature_importance.label_difference) LimeExplainer (class in xaib.explainers.feature_importance.lime_explainer) LinearRegressionExplainer (class in xaib.explainers.feature_importance.linear_regression_explainer) M Metric (class in xaib.base) minmax_normalize() (in module xaib.utils) Model (class in xaib.base) ModelRandomizationCheck (class in xaib.metrics.example_selection.model_randomization_check) (class in xaib.metrics.feature_importance.model_randomization_check) O OtherDisagreement (class in xaib.metrics.feature_importance.other_disagreement) P predict() (xaib.base.Explainer method) (xaib.base.Model method) (xaib.explainers.example_selection.constant_explainer.ConstantExplainer method) (xaib.explainers.example_selection.knn_explainer.KNNExplainer method) (xaib.explainers.example_selection.random_explainer.RandomExplainer method) (xaib.explainers.feature_importance.constant_explainer.ConstantExplainer method) (xaib.explainers.feature_importance.lime_explainer.LimeExplainer method) (xaib.explainers.feature_importance.linear_regression_explainer.LinearRegressionExplainer method) (xaib.explainers.feature_importance.random_explainer.RandomExplainer method) (xaib.explainers.feature_importance.shap_explainer.ShapExplainer method) R RandomExplainer (class in xaib.explainers.example_selection.random_explainer) (class in xaib.explainers.feature_importance.random_explainer) S SameClassCheck (class in xaib.metrics.example_selection.same_class_check) ShapExplainer (class in xaib.explainers.feature_importance.shap_explainer) SimpleDataloader (class in xaib.utils) SkDataset (class in xaib.datasets.sk_dataset) SmallNoiseCheck (class in xaib.metrics.example_selection.small_noise_check) (class in xaib.metrics.feature_importance.small_noise_check) Sparsity (class in xaib.metrics.feature_importance.sparsity) SyntheticDataset (class in xaib.datasets.synthetic_dataset) T TargetDiscriminativeness (class in xaib.metrics.example_selection.target_discriminativeness)