alibi

• alibi package
  • Subpackages
    • alibi.api package
      • Submodules
        • alibi.api.defaults module
          • DEFAULT_DATA_ALE
          • DEFAULT_DATA_ANCHOR
          • DEFAULT_DATA_ANCHOR_IMG
          • DEFAULT_DATA_CEM
          • DEFAULT_DATA_CF
          • DEFAULT_DATA_CFP
          • DEFAULT_DATA_CFRL
          • DEFAULT_DATA_INTGRAD
          • DEFAULT_DATA_KERNEL_SHAP
          • DEFAULT_DATA_PD
          • DEFAULT_DATA_PDVARIANCE
          • DEFAULT_DATA_PERMUTATION_IMPORTANCE
          • DEFAULT_DATA_PROTOSELECT
          • DEFAULT_DATA_SIM
          • DEFAULT_DATA_TREE_SHAP
          • DEFAULT_META_ALE
          • DEFAULT_META_ANCHOR
          • DEFAULT_META_CEM
          • DEFAULT_META_CF
          • DEFAULT_META_CFP
          • DEFAULT_META_CFRL
          • DEFAULT_META_INTGRAD
          • DEFAULT_META_KERNEL_SHAP
          • DEFAULT_META_PD
          • DEFAULT_META_PDVARIANCE
          • DEFAULT_META_PERMUTATION_IMPORTANCE
          • DEFAULT_META_PROTOSELECT
          • DEFAULT_META_SIM
          • DEFAULT_META_TREE_SHAP
          • KERNEL_SHAP_PARAMS
          • TREE_SHAP_PARAMS
        • alibi.api.interfaces module
          • AlibiPrettyPrinter
          • Base
          • Explainer
          • Explanation
          • FitMixin
          • Summariser
          • default_meta()
    • alibi.confidence package
      • LinearityMeasure
        • LinearityMeasure.__init__()
        • LinearityMeasure.fit()
        • LinearityMeasure.score()
      • TrustScore
        • TrustScore.__init__()
        • TrustScore.filter_by_distance_knn()
        • TrustScore.filter_by_probability_knn()
        • TrustScore.fit()
        • TrustScore.score()
      • linearity_measure()
      • Submodules
        • alibi.confidence.model_linearity module
          • LinearityMeasure
          • infer_feature_range()
          • linearity_measure()
        • alibi.confidence.trustscore module
          • TrustScore
    • alibi.datasets package
      • fetch_adult()
      • fetch_fashion_mnist()
      • fetch_imagenet()
      • fetch_imagenet_10()
      • fetch_movie_sentiment()
      • load_cats()
      • Submodules
        • alibi.datasets.default module
          • fetch_adult()
          • fetch_imagenet()
          • fetch_imagenet_10()
          • fetch_movie_sentiment()
          • load_cats()
        • alibi.datasets.tensorflow module
          • fetch_fashion_mnist()
    • alibi.explainers package
      • ALE
        • ALE.__init__()
        • ALE.explain()
        • ALE.meta
        • ALE.reset_predictor()
      • AnchorImage
        • AnchorImage.__init__()
        • AnchorImage.explain()
        • AnchorImage.generate_superpixels()
        • AnchorImage.meta
        • AnchorImage.overlay_mask()
        • AnchorImage.reset_predictor()
      • AnchorTabular
        • AnchorTabular.__init__()
        • AnchorTabular.add_names_to_exp()
        • AnchorTabular.explain()
        • AnchorTabular.fit()
        • AnchorTabular.instance_label
        • AnchorTabular.predictor
        • AnchorTabular.reset_predictor()
      • AnchorText
        • AnchorText.CLASS_SAMPLER
        • AnchorText.DEFAULTS
        • AnchorText.SAMPLING_LANGUAGE_MODEL
        • AnchorText.SAMPLING_SIMILARITY
        • AnchorText.SAMPLING_UNKNOWN
        • AnchorText.__init__()
        • AnchorText.compare_labels()
        • AnchorText.explain()
        • AnchorText.model
        • AnchorText.perturbation
        • AnchorText.reset_predictor()
        • AnchorText.sampler()
      • CEM
        • CEM.__init__()
        • CEM.attack()
        • CEM.explain()
        • CEM.fit()
        • CEM.get_gradients()
        • CEM.loss_fn()
        • CEM.meta
        • CEM.perturb()
        • CEM.reset_predictor()
      • Counterfactual
        • Counterfactual.__init__()
        • Counterfactual.explain()
        • Counterfactual.fit()
        • Counterfactual.meta
        • Counterfactual.reset_predictor()
      • CounterfactualProto
        • CounterfactualProto.__init__()
        • CounterfactualProto.attack()
        • CounterfactualProto.explain()
        • CounterfactualProto.fit()
        • CounterfactualProto.get_gradients()
        • CounterfactualProto.loss_fn()
        • CounterfactualProto.meta
        • CounterfactualProto.reset_predictor()
        • CounterfactualProto.score()
      • CounterfactualRL
        • CounterfactualRL.__init__()
        • CounterfactualRL.explain()
        • CounterfactualRL.fit()
        • CounterfactualRL.load()
        • CounterfactualRL.meta
        • CounterfactualRL.reset_predictor()
        • CounterfactualRL.save()
      • CounterfactualRLTabular
        • CounterfactualRLTabular.__init__()
        • CounterfactualRLTabular.explain()
        • CounterfactualRLTabular.fit()
        • CounterfactualRLTabular.meta
      • DistributedAnchorTabular
        • DistributedAnchorTabular.explain()
        • DistributedAnchorTabular.fit()
        • DistributedAnchorTabular.instance_label
        • DistributedAnchorTabular.meta
        • DistributedAnchorTabular.reset_predictor()
        • DistributedAnchorTabular.samplers
      • GradientSimilarity
        • GradientSimilarity.__init__()
        • GradientSimilarity.explain()
        • GradientSimilarity.fit()
        • GradientSimilarity.meta
      • IntegratedGradients
        • IntegratedGradients.__init__()
        • IntegratedGradients.explain()
        • IntegratedGradients.meta
        • IntegratedGradients.reset_predictor()
      • KernelShap
        • KernelShap.__init__()
        • KernelShap.explain()
        • KernelShap.fit()
        • KernelShap.reset_predictor()
      • PartialDependence
        • PartialDependence.__init__()
        • PartialDependence.explain()
        • PartialDependence.meta
      • PartialDependenceVariance
        • PartialDependenceVariance.__init__()
        • PartialDependenceVariance.explain()
        • PartialDependenceVariance.meta
      • PermutationImportance
        • PermutationImportance.__init__()
        • PermutationImportance.explain()
        • PermutationImportance.meta
        • PermutationImportance.reset_predictor()
      • TreePartialDependence
        • TreePartialDependence.__init__()
        • TreePartialDependence.explain()
        • TreePartialDependence.meta
      • TreeShap
        • TreeShap.__init__()
        • TreeShap.explain()
        • TreeShap.fit()
        • TreeShap.meta
        • TreeShap.reset_predictor()
      • plot_ale()
      • plot_pd()
      • plot_pd_variance()
      • plot_permutation_importance()
      • Subpackages
        • alibi.explainers.anchors package
          • Submodules
        • alibi.explainers.backends package
          • Subpackages
          • Submodules
        • alibi.explainers.similarity package
          • Subpackages
          • Submodules
      • Submodules
        • alibi.explainers.ale module
          • ALE
          • adaptive_grid()
          • ale_num()
          • bisect_fun()
          • get_quantiles()
          • minimum_satisfied()
          • plot_ale()
        • alibi.explainers.cem module
          • CEM
        • alibi.explainers.cfproto module
          • CounterFactualProto()
          • CounterfactualProto
        • alibi.explainers.cfrl_base module
          • Callback
          • CounterfactualRL
          • DEFAULT_BASE_PARAMS
          • NormalActionNoise
          • Postprocessing
          • ReplayBuffer
        • alibi.explainers.cfrl_tabular module
          • ConcatTabularPostprocessing
          • CounterfactualRLTabular
          • SampleTabularPostprocessing
        • alibi.explainers.counterfactual module
          • CounterFactual()
          • Counterfactual
        • alibi.explainers.integrated_gradients module
          • IntegratedGradients
        • alibi.explainers.partial_dependence module
          • Kind
          • PartialDependence
          • PartialDependenceBase
          • TreePartialDependence
          • plot_pd()
        • alibi.explainers.pd_variance module
          • Method
          • PartialDependenceVariance
          • plot_pd_variance()
        • alibi.explainers.permutation_importance module
          • Kind
          • LOSS_FNS
          • Method
          • PermutationImportance
          • SCORE_FNS
          • plot_permutation_importance()
        • alibi.explainers.shap_wrappers module
          • DISTRIBUTED_OPTS
          • KernelExplainerWrapper
          • KernelShap
          • TreeShap
          • rank_by_importance()
          • sum_categories()
    • alibi.models package
      • Subpackages
        • alibi.models.pytorch package
          • Submodules
        • alibi.models.tensorflow package
          • Submodules
    • alibi.prototypes package
      • ProtoSelect
        • ProtoSelect.__init__()
        • ProtoSelect.fit()
        • ProtoSelect.meta
        • ProtoSelect.summarise()
      • visualize_image_prototypes()
      • Submodules
        • alibi.prototypes.protoselect module
          • ProtoSelect
          • compute_prototype_importances()
          • cv_protoselect_euclidean()
          • visualize_image_prototypes()
    • alibi.tests package
      • Submodules
        • alibi.tests.utils module
          • MockPredictor
          • assert_message_in_logs()
          • issorted()
          • not_raises()
    • alibi.utils package
      • BertBaseUncased
        • BertBaseUncased.SUBWORD_PREFIX
        • BertBaseUncased.__init__()
        • BertBaseUncased.caller
        • BertBaseUncased.is_subword_prefix()
        • BertBaseUncased.mask
        • BertBaseUncased.model
        • BertBaseUncased.tokenizer
      • DistilbertBaseUncased
        • DistilbertBaseUncased.SUBWORD_PREFIX
        • DistilbertBaseUncased.__init__()
        • DistilbertBaseUncased.caller
        • DistilbertBaseUncased.is_subword_prefix()
        • DistilbertBaseUncased.mask
        • DistilbertBaseUncased.model
        • DistilbertBaseUncased.tokenizer
      • DistributedExplainer
        • DistributedExplainer.__getattr__()
        • DistributedExplainer.__init__()
        • DistributedExplainer.actor_index
        • DistributedExplainer.concatenate
        • DistributedExplainer.create_parallel_pool()
        • DistributedExplainer.get_explanation()
        • DistributedExplainer.return_attribute()
        • DistributedExplainer.set_actor_index()
      • LanguageModel
        • LanguageModel.SUBWORD_PREFIX
        • LanguageModel.__init__()
        • LanguageModel.caller
        • LanguageModel.from_disk()
        • LanguageModel.head_tail_split()
        • LanguageModel.is_punctuation()
        • LanguageModel.is_stop_word()
        • LanguageModel.is_subword_prefix()
        • LanguageModel.mask
        • LanguageModel.mask_id
        • LanguageModel.max_num_tokens
        • LanguageModel.model
        • LanguageModel.predict_batch_lm()
        • LanguageModel.select_word()
        • LanguageModel.to_disk()
        • LanguageModel.tokenizer
      • RobertaBase
        • RobertaBase.SUBWORD_PREFIX
        • RobertaBase.__init__()
        • RobertaBase.caller
        • RobertaBase.is_subword_prefix()
        • RobertaBase.mask
        • RobertaBase.model
        • RobertaBase.tokenizer
      • gen_category_map()
      • ohe_to_ord()
      • ord_to_ohe()
      • spacy_model()
      • visualize_image_attr()
      • Submodules
        • alibi.utils.approximation_methods module
          • Riemann
          • SUPPORTED_RIEMANN_METHODS
          • approximation_parameters()
          • gauss_legendre_builders()
          • riemann_builders()
        • alibi.utils.data module
          • Bunch
          • gen_category_map()
        • alibi.utils.discretizer module
          • Discretizer
        • alibi.utils.distance module
          • abdm()
          • batch_compute_kernel_matrix()
          • cityblock_batch()
          • multidim_scaling()
          • mvdm()
          • squared_pairwise_distance()
        • alibi.utils.distributed module
          • ActorPool
          • DistributedExplainer
          • PoolCollection
          • ResourceError
          • batch()
          • concatenate_minibatches()
          • default_target_fcn()
          • invert_permutation()
          • order_result()
        • alibi.utils.distributions module
          • kl_bernoulli()
        • alibi.utils.download module
          • spacy_model()
        • alibi.utils.frameworks module
          • Framework
        • alibi.utils.gradients module
          • num_grad_batch()
          • perturb()
        • alibi.utils.kernel module
          • EuclideanDistance
          • GaussianRBF
          • GaussianRBFDistance
        • alibi.utils.lang_model module
          • BertBaseUncased
          • DistilbertBaseUncased
          • LanguageModel
          • RobertaBase
        • alibi.utils.mapping module
          • num_to_ord()
          • ohe_to_ord()
          • ohe_to_ord_shape()
          • ord_to_num()
          • ord_to_ohe()
        • alibi.utils.missing_optional_dependency module
          • MissingDependency
          • err_msg_template
          • import_optional()
        • alibi.utils.tf module
          • argmax_grad()
          • argmin_grad()
          • one_hot_grad()
          • round_grad()
        • alibi.utils.visualization module
          • ImageVisualizationMethod
          • VisualizeSign
          • heatmap()
          • visualize_image_attr()
        • alibi.utils.wrappers module
          • ArgmaxTransformer
          • Predictor
          • methdispatch()
  • Submodules
    • alibi.exceptions module
      • AlibiException
      • AlibiPredictorCallException
      • AlibiPredictorReturnTypeError
      • NotFittedError
      • PredictorCallError
      • PredictorReturnTypeError
    • alibi.saving module
      • NumpyEncoder
        • NumpyEncoder.default()
      • load_explainer()
      • save_explainer()
    • alibi.version module