Index

A

ALL (dice_ml.constants.BackEndTypes attribute) (dice_ml.constants.ModelTypes attribute)

AutoEncoder (class in dice_ml.utils.sample_architecture.vae_model)

B

BackEndTypes (class in dice_ml.constants)

BaseModel (class in dice_ml.model_interfaces.base_model) build_KD_tree() (dice_ml.explainer_interfaces.explainer_base.ExplainerBase method)

C

cf_examples_list (dice_ml.counterfactual_explanations.CounterfactualExplanations property) CF_VAE (class in dice_ml.utils.sample_architecture.vae_model) check_permitted_range() (dice_ml.explainer_interfaces.explainer_base.ExplainerBase method) check_query_instance_validity() (dice_ml.explainer_interfaces.explainer_base.ExplainerBase method) Classifier (dice_ml.constants.ModelTypes attribute) compute_dist() (dice_ml.explainer_interfaces.dice_pytorch.DicePyTorch method) (dice_ml.explainer_interfaces.dice_tensorflow1.DiceTensorFlow1 method) (dice_ml.explainer_interfaces.dice_tensorflow2.DiceTensorFlow2 method) compute_diversity_loss() (dice_ml.explainer_interfaces.dice_pytorch.DicePyTorch method) (dice_ml.explainer_interfaces.dice_tensorflow1.DiceTensorFlow1 method) (dice_ml.explainer_interfaces.dice_tensorflow2.DiceTensorFlow2 method) compute_elbo() (dice_ml.utils.sample_architecture.vae_model.CF_VAE method) compute_loss() (dice_ml.explainer_interfaces.dice_genetic.DiceGenetic method) (dice_ml.explainer_interfaces.dice_pytorch.DicePyTorch method) (dice_ml.explainer_interfaces.dice_tensorflow2.DiceTensorFlow2 method) (dice_ml.explainer_interfaces.feasible_base_vae.FeasibleBaseVAE method)

compute_proximity_loss() (dice_ml.explainer_interfaces.dice_genetic.DiceGenetic method) (dice_ml.explainer_interfaces.dice_pytorch.DicePyTorch method) (dice_ml.explainer_interfaces.dice_tensorflow1.DiceTensorFlow1 method) (dice_ml.explainer_interfaces.dice_tensorflow2.DiceTensorFlow2 method) compute_regularization_loss() (dice_ml.explainer_interfaces.dice_pytorch.DicePyTorch method) (dice_ml.explainer_interfaces.dice_tensorflow1.DiceTensorFlow1 method) (dice_ml.explainer_interfaces.dice_tensorflow2.DiceTensorFlow2 method) compute_sparsity_loss() (dice_ml.explainer_interfaces.dice_genetic.DiceGenetic method) compute_yloss() (dice_ml.explainer_interfaces.dice_genetic.DiceGenetic method) (dice_ml.explainer_interfaces.dice_pytorch.DicePyTorch method) (dice_ml.explainer_interfaces.dice_tensorflow1.DiceTensorFlow1 method) (dice_ml.explainer_interfaces.dice_tensorflow2.DiceTensorFlow2 method) CounterfactualExamples (class in dice_ml.diverse_counterfactuals) CounterfactualExplanations (class in dice_ml.counterfactual_explanations) create_ohe_params() (dice_ml.data_interfaces.private_data_interface.PrivateData method) (dice_ml.data_interfaces.public_data_interface.PublicData method)

D

Data (class in dice_ml) (class in dice_ml.data) DataTransfomer (class in dice_ml.utils.helpers) de_normalize_data() (dice_ml.data_interfaces.private_data_interface.PrivateData method) (dice_ml.data_interfaces.public_data_interface.PublicData method) decide() (in module dice_ml.data) (in module dice_ml.dice) (in module dice_ml.model) decide_cf_validity() (dice_ml.explainer_interfaces.explainer_base.ExplainerBase method) decide_implementation_type() (dice_ml.Data method) (dice_ml.data.Data method) (dice_ml.Dice method) (dice_ml.dice.Dice method) (dice_ml.Model method) (dice_ml.model.Model method) decode_model_output() (dice_ml.explainer_interfaces.explainer_base.ExplainerBase method) decode_to_original_labels() (dice_ml.explainer_interfaces.explainer_base.ExplainerBase method) decoder() (dice_ml.utils.sample_architecture.vae_model.AutoEncoder method) (dice_ml.utils.sample_architecture.vae_model.CF_VAE method) deserialize_explainer() (dice_ml.explainer_interfaces.explainer_base.ExplainerBase static method) Dice (class in dice_ml) (class in dice_ml.dice) dice_ml module dice_ml.constants module dice_ml.counterfactual_explanations module dice_ml.data module dice_ml.data_interfaces module dice_ml.data_interfaces.base_data_interface module dice_ml.data_interfaces.private_data_interface module dice_ml.data_interfaces.public_data_interface module dice_ml.dice module dice_ml.diverse_counterfactuals module dice_ml.explainer_interfaces module dice_ml.explainer_interfaces.dice_genetic module dice_ml.explainer_interfaces.dice_KD module dice_ml.explainer_interfaces.dice_pytorch module dice_ml.explainer_interfaces.dice_random module dice_ml.explainer_interfaces.dice_tensorflow1 module dice_ml.explainer_interfaces.dice_tensorflow2 module dice_ml.explainer_interfaces.explainer_base module dice_ml.explainer_interfaces.feasible_base_vae module

dice_ml.explainer_interfaces.feasible_model_approx module dice_ml.model module dice_ml.model_interfaces module dice_ml.model_interfaces.base_model module dice_ml.model_interfaces.keras_tensorflow_model module dice_ml.model_interfaces.pytorch_model module dice_ml.schema module dice_ml.utils module dice_ml.utils.exception module dice_ml.utils.helpers module dice_ml.utils.neuralnetworks module dice_ml.utils.sample_architecture module dice_ml.utils.sample_architecture.vae_model module dice_ml.utils.serialize module DiceGenetic (class in dice_ml.explainer_interfaces.dice_genetic) DiceKD (class in dice_ml.explainer_interfaces.dice_KD) DicePyTorch (class in dice_ml.explainer_interfaces.dice_pytorch) DiceRandom (class in dice_ml.explainer_interfaces.dice_random) DiceTensorFlow1 (class in dice_ml.explainer_interfaces.dice_tensorflow1) DiceTensorFlow2 (class in dice_ml.explainer_interfaces.dice_tensorflow2) display_df() (dice_ml.diverse_counterfactuals.CounterfactualExamples method) do_binary_search() (dice_ml.explainer_interfaces.explainer_base.ExplainerBase method) do_cf_initializations() (dice_ml.explainer_interfaces.dice_genetic.DiceGenetic method) (dice_ml.explainer_interfaces.dice_pytorch.DicePyTorch method) (dice_ml.explainer_interfaces.dice_tensorflow1.DiceTensorFlow1 method) (dice_ml.explainer_interfaces.dice_tensorflow2.DiceTensorFlow2 method) do_KD_init() (dice_ml.explainer_interfaces.dice_genetic.DiceGenetic method) do_linear_search() (dice_ml.explainer_interfaces.explainer_base.ExplainerBase method) do_loss_initializations() (dice_ml.explainer_interfaces.dice_genetic.DiceGenetic method) (dice_ml.explainer_interfaces.dice_pytorch.DicePyTorch method) (dice_ml.explainer_interfaces.dice_tensorflow1.DiceTensorFlow1 method) (dice_ml.explainer_interfaces.dice_tensorflow2.DiceTensorFlow2 method) do_optimizer_initializations() (dice_ml.explainer_interfaces.dice_pytorch.DicePyTorch method) (dice_ml.explainer_interfaces.dice_tensorflow1.DiceTensorFlow1 method) (dice_ml.explainer_interfaces.dice_tensorflow2.DiceTensorFlow2 method) do_param_initializations() (dice_ml.explainer_interfaces.dice_genetic.DiceGenetic method) do_posthoc_sparsity_enhancement() (dice_ml.explainer_interfaces.explainer_base.ExplainerBase method) do_random_init() (dice_ml.explainer_interfaces.dice_genetic.DiceGenetic method) do_sparsity_check() (dice_ml.explainer_interfaces.dice_KD.DiceKD method) dpp_style() (dice_ml.explainer_interfaces.dice_pytorch.DicePyTorch method) (dice_ml.explainer_interfaces.dice_tensorflow1.DiceTensorFlow1 method) (dice_ml.explainer_interfaces.dice_tensorflow2.DiceTensorFlow2 method) DummyDataInterface (class in dice_ml.utils.serialize) duplicates() (dice_ml.explainer_interfaces.dice_KD.DiceKD method)

E

encoder() (dice_ml.utils.sample_architecture.vae_model.AutoEncoder method) (dice_ml.utils.sample_architecture.vae_model.CF_VAE method)

ExplainerBase (class in dice_ml.explainer_interfaces.explainer_base)

F

FeasibleBaseVAE (class in dice_ml.explainer_interfaces.feasible_base_vae) FeasibleModelApprox (class in dice_ml.explainer_interfaces.feasible_model_approx) feature_importance() (dice_ml.explainer_interfaces.explainer_base.ExplainerBase method) feed_data_params() (dice_ml.utils.helpers.DataTransfomer method) FFNetwork (class in dice_ml.utils.neuralnetworks) find_counterfactuals() (dice_ml.explainer_interfaces.dice_genetic.DiceGenetic method) (dice_ml.explainer_interfaces.dice_KD.DiceKD method) (dice_ml.explainer_interfaces.dice_pytorch.DicePyTorch method) (dice_ml.explainer_interfaces.dice_tensorflow1.DiceTensorFlow1 method) (dice_ml.explainer_interfaces.dice_tensorflow2.DiceTensorFlow2 method) fit_label_encoders() (dice_ml.data_interfaces.private_data_interface.PrivateData method) (dice_ml.data_interfaces.public_data_interface.PublicData method)

forward() (dice_ml.utils.neuralnetworks.FFNetwork method) (dice_ml.utils.neuralnetworks.MulticlassNetwork method) (dice_ml.utils.sample_architecture.vae_model.AutoEncoder method) (dice_ml.utils.sample_architecture.vae_model.CF_VAE method) from_dummies() (dice_ml.data_interfaces.private_data_interface.PrivateData method) (dice_ml.data_interfaces.public_data_interface.PublicData method) from_json() (dice_ml.counterfactual_explanations.CounterfactualExplanations static method) (dice_ml.diverse_counterfactuals.CounterfactualExamples static method) from_label() (dice_ml.data_interfaces.private_data_interface.PrivateData method) (dice_ml.data_interfaces.public_data_interface.PublicData method)

G

generate_counterfactuals() (dice_ml.explainer_interfaces.dice_tensorflow1.DiceTensorFlow1 method) (dice_ml.explainer_interfaces.dice_tensorflow2.DiceTensorFlow2 method) (dice_ml.explainer_interfaces.explainer_base.ExplainerBase method) (dice_ml.explainer_interfaces.feasible_base_vae.FeasibleBaseVAE method) Genetic (dice_ml.constants.SamplingStrategy attribute) get_adult_data_info() (in module dice_ml.utils.helpers) get_adult_income_modelpath() (in module dice_ml.utils.helpers) get_all_dummy_colnames() (dice_ml.data_interfaces.private_data_interface.PrivateData method) (dice_ml.data_interfaces.public_data_interface.PublicData method) get_base_gen_cf_initialization() (in module dice_ml.utils.helpers) get_continuous_samples() (dice_ml.explainer_interfaces.dice_random.DiceRandom method) get_custom_dataset_modelpath_pipeline() (in module dice_ml.utils.helpers) get_custom_dataset_modelpath_pipeline_binary() (in module dice_ml.utils.helpers) get_custom_dataset_modelpath_pipeline_multiclass() (in module dice_ml.utils.helpers) get_custom_dataset_modelpath_pipeline_regression() (in module dice_ml.utils.helpers) get_custom_vars_dataset_modelpath_pipeline() (in module dice_ml.utils.helpers) get_data_params_for_gradient_dice() (dice_ml.data_interfaces.private_data_interface.PrivateData method) (dice_ml.data_interfaces.public_data_interface.PublicData method) get_data_type() (dice_ml.data_interfaces.public_data_interface.PublicData method) get_decimal_precisions() (dice_ml.data_interfaces.private_data_interface.PrivateData method) (dice_ml.data_interfaces.public_data_interface.PublicData method) get_decoded_data() (dice_ml.data_interfaces.private_data_interface.PrivateData method) (dice_ml.data_interfaces.public_data_interface.PublicData method) get_encoded_categorical_feature_indexes() (dice_ml.data_interfaces.private_data_interface.PrivateData method) (dice_ml.data_interfaces.public_data_interface.PublicData method) get_features_range() (dice_ml.data_interfaces.private_data_interface.PrivateData method) (dice_ml.data_interfaces.public_data_interface.PublicData method) get_gradient() (dice_ml.model_interfaces.base_model.BaseModel method) (dice_ml.model_interfaces.keras_tensorflow_model.KerasTensorFlowModel method) (dice_ml.model_interfaces.pytorch_model.PyTorchModel method)

get_indexes_of_features_to_vary() (dice_ml.data_interfaces.private_data_interface.PrivateData method) (dice_ml.data_interfaces.public_data_interface.PublicData method) get_inverse_ohe_min_max_normalized_data() (dice_ml.data_interfaces.private_data_interface.PrivateData method) (dice_ml.data_interfaces.public_data_interface.PublicData method) get_mads() (dice_ml.data_interfaces.private_data_interface.PrivateData method) (dice_ml.data_interfaces.public_data_interface.PublicData method) get_minx_maxx() (dice_ml.data_interfaces.private_data_interface.PrivateData method) (dice_ml.data_interfaces.public_data_interface.PublicData method) get_model_output() (dice_ml.explainer_interfaces.dice_pytorch.DicePyTorch method) get_model_output_from_scores() (dice_ml.explainer_interfaces.explainer_base.ExplainerBase method) get_num_output_nodes() (dice_ml.model_interfaces.base_model.BaseModel method) (dice_ml.model_interfaces.keras_tensorflow_model.KerasTensorFlowModel method) (dice_ml.model_interfaces.pytorch_model.PyTorchModel method) get_num_output_nodes2() (dice_ml.model_interfaces.base_model.BaseModel method) get_ohe_min_max_normalized_data() (dice_ml.data_interfaces.private_data_interface.PrivateData method) (dice_ml.data_interfaces.public_data_interface.PublicData method) get_output() (dice_ml.model_interfaces.base_model.BaseModel method) (dice_ml.model_interfaces.keras_tensorflow_model.KerasTensorFlowModel method) (dice_ml.model_interfaces.pytorch_model.PyTorchModel method) get_quantiles_from_training_data() (dice_ml.data_interfaces.public_data_interface.PublicData method) get_samples() (dice_ml.explainer_interfaces.dice_random.DiceRandom method) get_valid_feature_range() (dice_ml.data_interfaces.private_data_interface.PrivateData method) (dice_ml.data_interfaces.public_data_interface.PublicData method) (dice_ml.explainer_interfaces.dice_genetic.DiceGenetic method) get_valid_mads() (dice_ml.data_interfaces.private_data_interface.PrivateData method) (dice_ml.data_interfaces.public_data_interface.PublicData method) global_feature_importance() (dice_ml.explainer_interfaces.explainer_base.ExplainerBase method) Gradient (dice_ml.constants.SamplingStrategy attribute)

I

infer_target_cfs_class() (dice_ml.explainer_interfaces.explainer_base.ExplainerBase method) infer_target_cfs_range() (dice_ml.explainer_interfaces.explainer_base.ExplainerBase method) initialize_CFs() (dice_ml.explainer_interfaces.dice_pytorch.DicePyTorch method) (dice_ml.explainer_interfaces.dice_tensorflow1.DiceTensorFlow1 method) (dice_ml.explainer_interfaces.dice_tensorflow2.DiceTensorFlow2 method)

initialize_transform_func() (dice_ml.utils.helpers.DataTransfomer method) inverse_ohe_min_max_transformation() (in module dice_ml.utils.helpers) inverse_transform() (dice_ml.utils.helpers.DataTransfomer method) is_cf_valid() (dice_ml.explainer_interfaces.explainer_base.ExplainerBase method)

J

json_converter() (in module dice_ml.diverse_counterfactuals)

K

KdTree (dice_ml.constants.SamplingStrategy attribute)

KerasTensorFlowModel (class in dice_ml.model_interfaces.keras_tensorflow_model)

L

label_decode() (dice_ml.explainer_interfaces.dice_genetic.DiceGenetic method) label_decode_cfs() (dice_ml.explainer_interfaces.dice_genetic.DiceGenetic method) label_encode() (dice_ml.explainer_interfaces.dice_genetic.DiceGenetic method) load_adult_income_dataset() (in module dice_ml.utils.helpers) load_custom_testing_dataset() (in module dice_ml.utils.helpers) load_custom_testing_dataset_binary() (in module dice_ml.utils.helpers) load_custom_testing_dataset_binary_str() (in module dice_ml.utils.helpers) load_custom_testing_dataset_multiclass() (in module dice_ml.utils.helpers)

load_custom_testing_dataset_multiclass_str() (in module dice_ml.utils.helpers) load_custom_testing_dataset_regression() (in module dice_ml.utils.helpers) load_min_max_equal_dataset() (in module dice_ml.utils.helpers) load_model() (dice_ml.model_interfaces.base_model.BaseModel method) (dice_ml.model_interfaces.keras_tensorflow_model.KerasTensorFlowModel method) (dice_ml.model_interfaces.pytorch_model.PyTorchModel method) load_outcome_not_last_column_dataset() (in module dice_ml.utils.helpers) local_feature_importance() (dice_ml.explainer_interfaces.explainer_base.ExplainerBase method) local_importance (dice_ml.counterfactual_explanations.CounterfactualExplanations property)

M

mate() (dice_ml.explainer_interfaces.dice_genetic.DiceGenetic method) metadata (dice_ml.counterfactual_explanations.CounterfactualExplanations property) misc_init() (dice_ml.explainer_interfaces.explainer_base.ExplainerBase method) Model (class in dice_ml) (class in dice_ml.model) ModelTypes (class in dice_ml.constants) module dice_ml dice_ml.constants dice_ml.counterfactual_explanations dice_ml.data dice_ml.data_interfaces dice_ml.data_interfaces.base_data_interface dice_ml.data_interfaces.private_data_interface dice_ml.data_interfaces.public_data_interface dice_ml.dice dice_ml.diverse_counterfactuals dice_ml.explainer_interfaces dice_ml.explainer_interfaces.dice_genetic dice_ml.explainer_interfaces.dice_KD dice_ml.explainer_interfaces.dice_pytorch dice_ml.explainer_interfaces.dice_random dice_ml.explainer_interfaces.dice_tensorflow1 dice_ml.explainer_interfaces.dice_tensorflow2 dice_ml.explainer_interfaces.explainer_base dice_ml.explainer_interfaces.feasible_base_vae dice_ml.explainer_interfaces.feasible_model_approx dice_ml.model dice_ml.model_interfaces dice_ml.model_interfaces.base_model dice_ml.model_interfaces.keras_tensorflow_model dice_ml.model_interfaces.pytorch_model dice_ml.schema dice_ml.utils dice_ml.utils.exception dice_ml.utils.helpers dice_ml.utils.neuralnetworks dice_ml.utils.sample_architecture dice_ml.utils.sample_architecture.vae_model dice_ml.utils.serialize

MulticlassNetwork (class in dice_ml.utils.neuralnetworks)

N

normal_likelihood() (dice_ml.utils.sample_architecture.vae_model.AutoEncoder method) (dice_ml.utils.sample_architecture.vae_model.CF_VAE method)

normalize_data() (dice_ml.data_interfaces.private_data_interface.PrivateData method) (dice_ml.data_interfaces.public_data_interface.PublicData method)

O

ohe_min_max_transformation() (in module dice_ml.utils.helpers)

one_hot_encode_data() (dice_ml.data_interfaces.private_data_interface.PrivateData method) (dice_ml.data_interfaces.public_data_interface.PublicData method)

P

predict_fn() (dice_ml.explainer_interfaces.dice_genetic.DiceGenetic method) (dice_ml.explainer_interfaces.dice_KD.DiceKD method) (dice_ml.explainer_interfaces.dice_pytorch.DicePyTorch method) (dice_ml.explainer_interfaces.dice_tensorflow1.DiceTensorFlow1 method) (dice_ml.explainer_interfaces.dice_tensorflow2.DiceTensorFlow2 method) (dice_ml.explainer_interfaces.explainer_base.ExplainerBase method) predict_fn_for_sparsity() (dice_ml.explainer_interfaces.dice_pytorch.DicePyTorch method) (dice_ml.explainer_interfaces.dice_tensorflow1.DiceTensorFlow1 method) (dice_ml.explainer_interfaces.dice_tensorflow2.DiceTensorFlow2 method) (dice_ml.explainer_interfaces.explainer_base.ExplainerBase method)

predict_fn_scores() (dice_ml.explainer_interfaces.dice_genetic.DiceGenetic method) (dice_ml.explainer_interfaces.dice_KD.DiceKD method) prepare_df_for_ohe_encoding() (dice_ml.data_interfaces.private_data_interface.PrivateData method) (dice_ml.data_interfaces.public_data_interface.PublicData method) prepare_query_instance() (dice_ml.data_interfaces.private_data_interface.PrivateData method) (dice_ml.data_interfaces.public_data_interface.PublicData method) print_list() (dice_ml.diverse_counterfactuals.CounterfactualExamples method) PrivateData (class in dice_ml.data_interfaces.private_data_interface) PublicData (class in dice_ml.data_interfaces.public_data_interface) Pytorch (dice_ml.constants.BackEndTypes attribute) PyTorchModel (class in dice_ml.model_interfaces.pytorch_model)

Q

query_instance_to_df() (dice_ml.data_interfaces.private_data_interface.PrivateData method)

R

Random (dice_ml.constants.SamplingStrategy attribute) Regressor (dice_ml.constants.ModelTypes attribute) round_off_cfs() (dice_ml.explainer_interfaces.dice_pytorch.DicePyTorch method) (dice_ml.explainer_interfaces.dice_tensorflow1.DiceTensorFlow1 method) (dice_ml.explainer_interfaces.dice_tensorflow2.DiceTensorFlow2 method)

round_to_precision() (dice_ml.explainer_interfaces.explainer_base.ExplainerBase method)

S

sample_latent_code() (dice_ml.utils.sample_architecture.vae_model.AutoEncoder method) (dice_ml.utils.sample_architecture.vae_model.CF_VAE method) SamplingStrategy (class in dice_ml.constants) save_adult_income_model() (in module dice_ml.utils.helpers) scipy_optimizers() (dice_ml.explainer_interfaces.dice_tensorflow1.DiceTensorFlow1 method) serialize_explainer() (dice_ml.explainer_interfaces.explainer_base.ExplainerBase method) set_eval_mode() (dice_ml.model_interfaces.pytorch_model.PyTorchModel method)

setup() (dice_ml.explainer_interfaces.explainer_base.ExplainerBase method) sigmoid() (dice_ml.explainer_interfaces.explainer_base.ExplainerBase method) Sklearn (dice_ml.constants.BackEndTypes attribute) stop_loop() (dice_ml.explainer_interfaces.dice_pytorch.DicePyTorch method) (dice_ml.explainer_interfaces.dice_tensorflow1.DiceTensorFlow1 method) (dice_ml.explainer_interfaces.dice_tensorflow2.DiceTensorFlow2 method) summary_importance (dice_ml.counterfactual_explanations.CounterfactualExplanations property) SystemException

T

Tensorflow1 (dice_ml.constants.BackEndTypes attribute) Tensorflow2 (dice_ml.constants.BackEndTypes attribute) tensorflow_optimizers() (dice_ml.explainer_interfaces.dice_tensorflow1.DiceTensorFlow1 method) to_json() (dice_ml.counterfactual_explanations.CounterfactualExplanations method) (dice_ml.diverse_counterfactuals.CounterfactualExamples method) (dice_ml.utils.serialize.DummyDataInterface method)

train() (dice_ml.explainer_interfaces.feasible_base_vae.FeasibleBaseVAE method) (dice_ml.explainer_interfaces.feasible_model_approx.FeasibleModelApprox method) training (dice_ml.utils.sample_architecture.vae_model.AutoEncoder attribute) (dice_ml.utils.sample_architecture.vae_model.CF_VAE attribute) transform() (dice_ml.utils.helpers.DataTransfomer method)

U

update_hyperparameters() (dice_ml.explainer_interfaces.dice_genetic.DiceGenetic method) (dice_ml.explainer_interfaces.dice_pytorch.DicePyTorch method) (dice_ml.explainer_interfaces.dice_tensorflow1.DiceTensorFlow1 method) (dice_ml.explainer_interfaces.dice_tensorflow2.DiceTensorFlow2 method)

V

vary_valid() (dice_ml.explainer_interfaces.dice_KD.DiceKD method) visualize_as_dataframe() (dice_ml.counterfactual_explanations.CounterfactualExplanations method) (dice_ml.diverse_counterfactuals.CounterfactualExamples method)

visualize_as_list() (dice_ml.counterfactual_explanations.CounterfactualExplanations method) (dice_ml.diverse_counterfactuals.CounterfactualExamples method)