DiCE
Getting Started:
Diverse Counterfactual Explanations (DiCE) for ML
Notebooks:
Quick introduction to generating counterfactual explanations using DiCE
Estimating local and global feature importance scores using DiCE
Generating counterfactuals for multi-class classification and regression models
Regression
Generating counterfactual explanations with any ML model
Generating counterfactual explanations without access to training data
Advanced options to customize Counterfactual Explanations
Generate feasible counterfactual explanations using a VAE
Adding feasibility constraints
Package:
dice_ml package
DiCE
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Index
Index
A
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B
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C
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D
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E
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F
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G
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I
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J
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K
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L
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M
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N
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O
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P
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R
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S
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T
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U
|
V
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)
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.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_multiclass() (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
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)
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)
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)
UserConfigValidationException
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)