CARLA
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Examples
Data
Black-Box-Model
Recourse Methods
Benchmarking
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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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L
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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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V
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W
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Y
A
action_set (recourse_methods.catalog.actionable_recourse.model.ActionableRecourse property)
ActionableRecourse (class in recourse_methods.catalog.actionable_recourse.model)
AvgTime (class in evaluation.catalog.time)
B
backend (models.api.mlmodel.MLModel property)
(models.catalog.catalog.MLModelCatalog property)
Benchmark (class in evaluation.benchmark)
C
categorical (data.api.data.Data property)
(data.catalog.csv_catalog.CsvCatalog property)
(data.catalog.online_catalog.OnlineCatalog property)
(data.causal_model.synthethic_data.ScmDataset property)
categorical_noise (data.causal_model.synthethic_data.ScmDataset property)
CausalModel (class in data.causal_model.causal_model)
CausalRecourse (class in recourse_methods.catalog.causal_recourse.model)
CCHVAE (class in recourse_methods.catalog.cchvae.model)
CEM (class in recourse_methods.catalog.cem.model)
cgm (data.causal_model.causal_model.CausalModel property)
Clue (class in recourse_methods.catalog.clue.model)
compute_optimal_action_set() (recourse_methods.catalog.causal_recourse.model.CausalRecourse method)
constraint_violation() (in module evaluation.catalog.violations)
ConstraintViolation (class in evaluation.catalog.violations)
continuous (data.api.data.Data property)
(data.catalog.csv_catalog.CsvCatalog property)
(data.catalog.online_catalog.OnlineCatalog property)
(data.causal_model.synthethic_data.ScmDataset property)
continuous_noise (data.causal_model.synthethic_data.ScmDataset property)
CsvCatalog (class in data.catalog.csv_catalog)
D
Data (class in data.api.data)
data (models.api.mlmodel.MLModel property)
data.api.data
module
data.catalog.catalog
module
data.catalog.csv_catalog
module
data.catalog.online_catalog
module
data.causal_model.causal_model
module
data.causal_model.synthethic_data
module
DataCatalog (class in data.catalog.catalog)
df (data.api.data.Data property)
(data.catalog.catalog.DataCatalog property)
(data.causal_model.synthethic_data.ScmDataset property)
df_test (data.api.data.Data property)
(data.catalog.catalog.DataCatalog property)
(data.causal_model.synthethic_data.ScmDataset property)
df_train (data.api.data.Data property)
(data.catalog.catalog.DataCatalog property)
(data.causal_model.synthethic_data.ScmDataset property)
Dice (class in recourse_methods.catalog.dice.model)
Distance (class in evaluation.catalog.distance)
E
encoder (data.catalog.catalog.DataCatalog property)
endogenous (data.causal_model.causal_model.CausalModel property)
esatisfactory_instance() (recourse_methods.catalog.feature_tweak.model.FeatureTweak method)
evaluation.benchmark
module
evaluation.catalog.distance
module
evaluation.catalog.redundancy
module
evaluation.catalog.time
module
evaluation.catalog.violations
module
evaluation.catalog.ynn
module
exogenous (data.causal_model.causal_model.CausalModel property)
F
Face (class in recourse_methods.catalog.face.model)
feature_input_order (models.api.mlmodel.MLModel property)
(models.catalog.catalog.MLModelCatalog property)
feature_tweaking() (recourse_methods.catalog.feature_tweak.model.FeatureTweak method)
FeatureTweak (class in recourse_methods.catalog.feature_tweak.model)
FOCUS (class in recourse_methods.catalog.focus.model)
fraction (recourse_methods.catalog.face.model.Face property)
G
generate_dataset() (data.causal_model.causal_model.CausalModel method)
get_ancestors() (data.causal_model.causal_model.CausalModel method)
get_children() (data.causal_model.causal_model.CausalModel method)
get_counterfactuals() (recourse_methods.api.recourse_method.RecourseMethod method)
(recourse_methods.catalog.actionable_recourse.model.ActionableRecourse method)
(recourse_methods.catalog.causal_recourse.model.CausalRecourse method)
(recourse_methods.catalog.cchvae.model.CCHVAE method)
(recourse_methods.catalog.cem.model.CEM method)
(recourse_methods.catalog.clue.model.Clue method)
(recourse_methods.catalog.dice.model.Dice method)
(recourse_methods.catalog.face.model.Face method)
(recourse_methods.catalog.feature_tweak.model.FeatureTweak method)
(recourse_methods.catalog.focus.model.FOCUS method)
(recourse_methods.catalog.growing_spheres.model.GrowingSpheres method)
(recourse_methods.catalog.revise.model.Revise method)
(recourse_methods.catalog.roar.model.Roar method)
(recourse_methods.catalog.wachter.model.Wachter method)
get_descendents() (data.causal_model.causal_model.CausalModel method)
get_evaluation() (evaluation.catalog.distance.Distance method)
(evaluation.catalog.redundancy.Redundancy method)
(evaluation.catalog.time.AvgTime method)
(evaluation.catalog.violations.ConstraintViolation method)
(evaluation.catalog.ynn.YNN method)
get_intervenable_nodes() (recourse_methods.catalog.causal_recourse.model.CausalRecourse method)
get_mutable_mask() (models.api.mlmodel.MLModel method)
get_non_descendents() (data.causal_model.causal_model.CausalModel method)
get_ordered_features() (models.api.mlmodel.MLModel method)
get_parents() (data.causal_model.causal_model.CausalModel method)
get_path_info() (in module recourse_methods.catalog.feature_tweak.model)
get_pipeline_element() (data.catalog.catalog.DataCatalog method)
get_topological_ordering() (data.causal_model.causal_model.CausalModel method)
GrowingSpheres (class in recourse_methods.catalog.growing_spheres.model)
I
immutables (data.api.data.Data property)
(data.catalog.csv_catalog.CsvCatalog property)
(data.catalog.online_catalog.OnlineCatalog property)
(data.causal_model.synthethic_data.ScmDataset property)
inverse_transform() (data.api.data.Data method)
(data.catalog.catalog.DataCatalog method)
(data.causal_model.synthethic_data.ScmDataset method)
L
l0_distance() (in module evaluation.catalog.distance)
l1_distance() (in module evaluation.catalog.distance)
l2_distance() (in module evaluation.catalog.distance)
linf_distance() (in module evaluation.catalog.distance)
M
MLModel (class in models.api.mlmodel)
MLModelCatalog (class in models.catalog.catalog)
mode (recourse_methods.catalog.face.model.Face property)
model_type (models.catalog.catalog.MLModelCatalog property)
models.api.mlmodel
module
models.catalog.catalog
module
module
data.api.data
data.catalog.catalog
data.catalog.csv_catalog
data.catalog.online_catalog
data.causal_model.causal_model
data.causal_model.synthethic_data
evaluation.benchmark
evaluation.catalog.distance
evaluation.catalog.redundancy
evaluation.catalog.time
evaluation.catalog.violations
evaluation.catalog.ynn
models.api.mlmodel
models.catalog.catalog
plotting.plotting
recourse_methods.api.recourse_method
recourse_methods.catalog.actionable_recourse.model
recourse_methods.catalog.causal_recourse.model
recourse_methods.catalog.cchvae.model
recourse_methods.catalog.cem.model
recourse_methods.catalog.clue.model
recourse_methods.catalog.dice.model
recourse_methods.catalog.face.model
recourse_methods.catalog.feature_tweak.model
recourse_methods.catalog.focus.model
recourse_methods.catalog.growing_spheres.model
recourse_methods.catalog.revise.model
recourse_methods.catalog.roar.model
recourse_methods.catalog.wachter.model
N
noise (data.causal_model.synthethic_data.ScmDataset property)
noise_distributions (data.causal_model.causal_model.CausalModel property)
noise_test (data.causal_model.synthethic_data.ScmDataset property)
noise_train (data.causal_model.synthethic_data.ScmDataset property)
O
OnlineCatalog (class in data.catalog.online_catalog)
P
plotting.plotting
module
powerset() (in module recourse_methods.catalog.causal_recourse.model)
predict() (models.api.mlmodel.MLModel method)
(models.catalog.catalog.MLModelCatalog method)
predict_proba() (models.api.mlmodel.MLModel method)
(models.catalog.catalog.MLModelCatalog method)
R
raw_model (models.api.mlmodel.MLModel property)
(models.catalog.catalog.MLModelCatalog property)
recourse_methods.api.recourse_method
module
recourse_methods.catalog.actionable_recourse.model
module
recourse_methods.catalog.causal_recourse.model
module
recourse_methods.catalog.cchvae.model
module
recourse_methods.catalog.cem.model
module
recourse_methods.catalog.clue.model
module
recourse_methods.catalog.dice.model
module
recourse_methods.catalog.face.model
module
recourse_methods.catalog.feature_tweak.model
module
recourse_methods.catalog.focus.model
module
recourse_methods.catalog.growing_spheres.model
module
recourse_methods.catalog.revise.model
module
recourse_methods.catalog.roar.model
module
recourse_methods.catalog.wachter.model
module
RecourseMethod (class in recourse_methods.api.recourse_method)
Redundancy (class in evaluation.catalog.redundancy)
Revise (class in recourse_methods.catalog.revise.model)
Roar (class in recourse_methods.catalog.roar.model)
run_benchmark() (evaluation.benchmark.Benchmark method)
S
scaler (data.catalog.catalog.DataCatalog property)
scm (data.causal_model.causal_model.CausalModel property)
scm_class (data.causal_model.causal_model.CausalModel property)
ScmDataset (class in data.causal_model.synthethic_data)
search_path() (in module recourse_methods.catalog.feature_tweak.model)
single_sample_plot() (in module plotting.plotting)
structural_equations_np (data.causal_model.causal_model.CausalModel property)
structural_equations_ts (data.causal_model.causal_model.CausalModel property)
summary_plot() (in module plotting.plotting)
T
target (data.api.data.Data property)
(data.catalog.csv_catalog.CsvCatalog property)
(data.catalog.online_catalog.OnlineCatalog property)
(data.causal_model.synthethic_data.ScmDataset property)
train() (models.catalog.catalog.MLModelCatalog method)
transform() (data.api.data.Data method)
(data.catalog.catalog.DataCatalog method)
(data.causal_model.synthethic_data.ScmDataset method)
tree_iterator (models.catalog.catalog.MLModelCatalog property)
V
visualize_graph() (data.causal_model.causal_model.CausalModel method)
W
Wachter (class in recourse_methods.catalog.wachter.model)
Y
YNN (class in evaluation.catalog.ynn)
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