Index

A

AffinePreprocessing (class in ceml.backend.jax.preprocessing)

B

b (ceml.sklearn.linearregression.LinearRegression attribute) (ceml.sklearn.softmaxregression.SoftmaxRegression attribute) BFGS (class in ceml.optim.optimizer) build_loss() (ceml.sklearn.pipeline.PipelineCounterfactual method) (ceml.sklearn.randomforest.RandomForestCounterfactual method)

build_program() (ceml.optim.cvx.DCQP method) build_regularization_loss() (in module ceml.sklearn.utils) (in module ceml.torch.utils) build_solve_opt() (ceml.optim.cvx.ConvexQuadraticProgram method) (ceml.optim.cvx.SDP method)

C

ceml.backend.jax.costfunctions.costfunctions module ceml.backend.jax.preprocessing module ceml.backend.tensorflow.costfunctions.costfunctions module ceml.backend.tensorflow.optimizer.optimizer module ceml.backend.torch.costfunctions.costfunctions module ceml.backend.torch.optimizer.optimizer module ceml.costfunctions.costfunctions module ceml.model.counterfactual module ceml.model.model module ceml.optim.cvx module ceml.optim.ga module ceml.optim.input_wrapper module ceml.optim.optimizer module ceml.sklearn.counterfactual module ceml.sklearn.decisiontree module ceml.sklearn.isolationforest module ceml.sklearn.knn module ceml.sklearn.lda module ceml.sklearn.linearregression module ceml.sklearn.lvq module ceml.sklearn.models module ceml.sklearn.naivebayes module

ceml.sklearn.pipeline module ceml.sklearn.plausibility module ceml.sklearn.qda module ceml.sklearn.randomforest module ceml.sklearn.softmaxregression module ceml.sklearn.utils module ceml.tfkeras.counterfactual module ceml.torch.counterfactual module ceml.torch.utils module class_priors (ceml.sklearn.lda.Lda attribute) (ceml.sklearn.naivebayes.GaussianNB attribute) (ceml.sklearn.qda.Qda attribute) complete() (ceml.optim.input_wrapper.InputWrapper method) compute_all_counterfactuals() (ceml.sklearn.decisiontree.DecisionTreeCounterfactual method) compute_counterfactual() (ceml.model.counterfactual.Counterfactual method) (ceml.sklearn.counterfactual.SklearnCounterfactual method) (ceml.sklearn.decisiontree.DecisionTreeCounterfactual method) (ceml.sklearn.isolationforest.IsolationForestCounterfactual method) (ceml.sklearn.pipeline.PipelineCounterfactual method) (ceml.sklearn.randomforest.RandomForestCounterfactual method) (ceml.tfkeras.counterfactual.TfCounterfactual method) (ceml.torch.counterfactual.TorchCounterfactual method) compute_fitness() (ceml.optim.ga.EvolutionaryOptimizer method) ConjugateGradients (class in ceml.optim.optimizer) ConvexQuadraticProgram (class in ceml.optim.cvx) CostFunction (class in ceml.costfunctions.costfunctions) CostFunctionDifferentiable (class in ceml.costfunctions.costfunctions) CostFunctionDifferentiableJax (class in ceml.backend.jax.costfunctions.costfunctions) CostFunctionDifferentiableTf (class in ceml.backend.tensorflow.costfunctions.costfunctions) CostFunctionDifferentiableTorch (class in ceml.backend.torch.costfunctions.costfunctions) Counterfactual (class in ceml.model.counterfactual) CQPHelper (class in ceml.sklearn.lvq) crossover() (ceml.optim.ga.EvolutionaryOptimizer method)

D

DCQP (class in ceml.optim.cvx) decisiontree_generate_counterfactual() (in module ceml.sklearn.decisiontree) DecisionTreeCounterfactual (class in ceml.sklearn.decisiontree) desc_to_dist() (in module ceml.sklearn.utils) (in module ceml.torch.utils) desc_to_regcost() (in module ceml.sklearn.utils) (in module ceml.torch.utils) dim (ceml.sklearn.lda.Lda attribute) (ceml.sklearn.linearregression.LinearRegression attribute) (ceml.sklearn.lvq.LVQ attribute) (ceml.sklearn.naivebayes.GaussianNB attribute) (ceml.sklearn.qda.Qda attribute) (ceml.sklearn.softmaxregression.SoftmaxRegression attribute)

dist (ceml.sklearn.knn.KNN attribute) (ceml.sklearn.lvq.LVQ attribute) DummyCost (class in ceml.backend.jax.costfunctions.costfunctions) (class in ceml.backend.tensorflow.costfunctions.costfunctions) (class in ceml.backend.torch.costfunctions.costfunctions)

E

EnsembleVotingCost (class in ceml.sklearn.randomforest) epsilon (ceml.optim.cvx.ConvexQuadraticProgram attribute) (ceml.optim.cvx.DCQP attribute) (ceml.optim.cvx.SDP attribute)

EvolutionaryOptimizer (class in ceml.optim.ga) extract_from() (ceml.optim.input_wrapper.InputWrapper method)

G

GaussianNB (class in ceml.sklearn.naivebayes) gaussiannb_generate_counterfactual() (in module ceml.sklearn.naivebayes) GaussianNbCounterfactual (class in ceml.sklearn.naivebayes) generate_counterfactual() (in module ceml.sklearn.models) (in module ceml.tfkeras.counterfactual) (in module ceml.torch.counterfactual) get_loss() (ceml.model.model.ModelWithLoss method) (ceml.sklearn.isolationforest.IsolationForest method) (ceml.sklearn.knn.KNN method) (ceml.sklearn.lda.Lda method) (ceml.sklearn.linearregression.LinearRegression method) (ceml.sklearn.lvq.LVQ method) (ceml.sklearn.naivebayes.GaussianNB method) (ceml.sklearn.pipeline.PipelineModel method) (ceml.sklearn.qda.Qda method) (ceml.sklearn.randomforest.RandomForest method) (ceml.sklearn.softmaxregression.SoftmaxRegression method)

grad() (ceml.backend.jax.costfunctions.costfunctions.CostFunctionDifferentiableJax method) (ceml.backend.tensorflow.costfunctions.costfunctions.CostFunctionDifferentiableTf method) (ceml.backend.torch.costfunctions.costfunctions.CostFunctionDifferentiableTorch method) (ceml.costfunctions.costfunctions.CostFunctionDifferentiable method)

I

init() (ceml.backend.tensorflow.optimizer.optimizer.TfOptimizer method) (ceml.backend.torch.optimizer.optimizer.TorchOptimizer method) (ceml.optim.ga.EvolutionaryOptimizer method) (ceml.optim.optimizer.BFGS method) (ceml.optim.optimizer.ConjugateGradients method) (ceml.optim.optimizer.NelderMead method) (ceml.optim.optimizer.Powell method) InputWrapper (class in ceml.optim.input_wrapper)

is_binary (ceml.sklearn.naivebayes.GaussianNB attribute) (ceml.sklearn.qda.Qda attribute) is_multiclass (ceml.sklearn.softmaxregression.SoftmaxRegression attribute) is_optimizer_grad_based() (in module ceml.optim.optimizer) IsolationForest (class in ceml.sklearn.isolationforest) isolationforest_generate_counterfactual() (in module ceml.sklearn.isolationforest) IsolationForestCost (class in ceml.sklearn.isolationforest) IsolationForestCounterfactual (class in ceml.sklearn.isolationforest)

K

KNN (class in ceml.sklearn.knn)

knn_generate_counterfactual() (in module ceml.sklearn.knn) KnnCounterfactual (class in ceml.sklearn.knn)

L

L1Cost (class in ceml.backend.jax.costfunctions.costfunctions) (class in ceml.backend.tensorflow.costfunctions.costfunctions) (class in ceml.backend.torch.costfunctions.costfunctions) L2Cost (class in ceml.backend.jax.costfunctions.costfunctions) (class in ceml.backend.tensorflow.costfunctions.costfunctions) (class in ceml.backend.torch.costfunctions.costfunctions) labels (ceml.sklearn.lvq.LVQ attribute) Lda (class in ceml.sklearn.lda) lda_generate_counterfactual() (in module ceml.sklearn.lda)

LdaCounterfactual (class in ceml.sklearn.lda) LinearRegression (class in ceml.sklearn.linearregression) linearregression_generate_counterfactual() (in module ceml.sklearn.linearregression) LinearRegressionCounterfactual (class in ceml.sklearn.linearregression) LMadCost (class in ceml.backend.jax.costfunctions.costfunctions) (class in ceml.backend.tensorflow.costfunctions.costfunctions) (class in ceml.backend.torch.costfunctions.costfunctions) LVQ (class in ceml.sklearn.lvq) lvq_generate_counterfactual() (in module ceml.sklearn.lvq) LvqCounterfactual (class in ceml.sklearn.lvq)

M

MathematicalProgram (class in ceml.optim.cvx) means (ceml.sklearn.lda.Lda attribute) (ceml.sklearn.naivebayes.GaussianNB attribute) (ceml.sklearn.qda.Qda attribute) MinMaxScaler (class in ceml.backend.jax.preprocessing) MinOfListCost (class in ceml.backend.torch.costfunctions.costfunctions) MinOfListDistCost (class in ceml.backend.jax.costfunctions.costfunctions) MinOfListDistExCost (class in ceml.backend.jax.costfunctions.costfunctions) model (ceml.sklearn.counterfactual.SklearnCounterfactual attribute) (ceml.sklearn.lvq.LVQ attribute) Model (class in ceml.backend.jax.preprocessing) (class in ceml.model.model) model_class (ceml.sklearn.lvq.LVQ attribute) models (ceml.sklearn.pipeline.PipelineModel attribute) ModelWithLoss (class in ceml.model.model) module ceml.backend.jax.costfunctions.costfunctions ceml.backend.jax.preprocessing ceml.backend.tensorflow.costfunctions.costfunctions ceml.backend.tensorflow.optimizer.optimizer ceml.backend.torch.costfunctions.costfunctions ceml.backend.torch.optimizer.optimizer ceml.costfunctions.costfunctions ceml.model.counterfactual ceml.model.model ceml.optim.cvx ceml.optim.ga ceml.optim.input_wrapper ceml.optim.optimizer ceml.sklearn.counterfactual ceml.sklearn.decisiontree ceml.sklearn.isolationforest ceml.sklearn.knn ceml.sklearn.lda ceml.sklearn.linearregression ceml.sklearn.lvq ceml.sklearn.models ceml.sklearn.naivebayes ceml.sklearn.pipeline ceml.sklearn.plausibility ceml.sklearn.qda ceml.sklearn.randomforest ceml.sklearn.softmaxregression ceml.sklearn.utils ceml.tfkeras.counterfactual ceml.torch.counterfactual ceml.torch.utils

mutate() (ceml.optim.ga.EvolutionaryOptimizer method) mymodel (ceml.sklearn.counterfactual.SklearnCounterfactual attribute)

N

NegLogLikelihoodCost (class in ceml.backend.jax.costfunctions.costfunctions) (class in ceml.backend.tensorflow.costfunctions.costfunctions) (class in ceml.backend.torch.costfunctions.costfunctions)

NelderMead (class in ceml.optim.optimizer) Normalizer (class in ceml.backend.jax.preprocessing)

O

Optimizer (class in ceml.optim.optimizer)

P

PCA (class in ceml.backend.jax.preprocessing) pccp (ceml.optim.cvx.DCQP attribute) PenaltyConvexConcaveProcedure (class in ceml.optim.cvx) pipeline_generate_counterfactual() (in module ceml.sklearn.pipeline) PipelineCounterfactual (class in ceml.sklearn.pipeline) PipelineModel (class in ceml.sklearn.pipeline) PolynomialFeatures (class in ceml.backend.jax.preprocessing) Powell (class in ceml.optim.optimizer) predict() (ceml.backend.jax.preprocessing.MinMaxScaler method) (ceml.backend.jax.preprocessing.Model method) (ceml.backend.jax.preprocessing.Normalizer method) (ceml.backend.jax.preprocessing.PCA method) (ceml.backend.jax.preprocessing.PolynomialFeatures method) (ceml.backend.jax.preprocessing.StandardScaler method) (ceml.model.model.Model method) (ceml.sklearn.isolationforest.IsolationForest method) (ceml.sklearn.knn.KNN method) (ceml.sklearn.lda.Lda method) (ceml.sklearn.linearregression.LinearRegression method) (ceml.sklearn.lvq.LVQ method) (ceml.sklearn.naivebayes.GaussianNB method) (ceml.sklearn.pipeline.PipelineModel method) (ceml.sklearn.qda.Qda method) (ceml.sklearn.randomforest.RandomForest method) (ceml.sklearn.softmaxregression.SoftmaxRegression method)

prepare_computation_of_plausible_counterfactuals() (in module ceml.sklearn.plausibility) prepare_optim() (in module ceml.optim.optimizer) prototypes (ceml.sklearn.lvq.LVQ attribute)

Q

Qda (class in ceml.sklearn.qda)

qda_generate_counterfactual() (in module ceml.sklearn.qda) QdaCounterfactual (class in ceml.sklearn.qda)

R

RandomForest (class in ceml.sklearn.randomforest) randomforest_generate_counterfactual() (in module ceml.sklearn.randomforest) RandomForestCounterfactual (class in ceml.sklearn.randomforest) rebuild_model() (ceml.sklearn.counterfactual.SklearnCounterfactual method) (ceml.sklearn.decisiontree.DecisionTreeCounterfactual method) (ceml.sklearn.isolationforest.IsolationForestCounterfactual method) (ceml.sklearn.knn.KnnCounterfactual method) (ceml.sklearn.lda.LdaCounterfactual method) (ceml.sklearn.linearregression.LinearRegressionCounterfactual method) (ceml.sklearn.lvq.LvqCounterfactual method) (ceml.sklearn.naivebayes.GaussianNbCounterfactual method) (ceml.sklearn.pipeline.PipelineCounterfactual method) (ceml.sklearn.qda.QdaCounterfactual method) (ceml.sklearn.randomforest.RandomForestCounterfactual method) (ceml.sklearn.softmaxregression.SoftmaxCounterfactual method)

reduce() (in module ceml.backend.jax.preprocessing) RegularizedCost (class in ceml.backend.jax.costfunctions.costfunctions) (class in ceml.backend.tensorflow.costfunctions.costfunctions) (class in ceml.backend.torch.costfunctions.costfunctions) (class in ceml.costfunctions.costfunctions)

S

score_impl() (ceml.backend.jax.costfunctions.costfunctions.DummyCost method) (ceml.backend.jax.costfunctions.costfunctions.L1Cost method) (ceml.backend.jax.costfunctions.costfunctions.L2Cost method) (ceml.backend.jax.costfunctions.costfunctions.LMadCost method) (ceml.backend.jax.costfunctions.costfunctions.MinOfListDistCost method) (ceml.backend.jax.costfunctions.costfunctions.MinOfListDistExCost method) (ceml.backend.jax.costfunctions.costfunctions.NegLogLikelihoodCost method) (ceml.backend.jax.costfunctions.costfunctions.RegularizedCost method) (ceml.backend.jax.costfunctions.costfunctions.SquaredError method) (ceml.backend.jax.costfunctions.costfunctions.TopKMinOfListDistCost method) (ceml.backend.tensorflow.costfunctions.costfunctions.DummyCost method) (ceml.backend.tensorflow.costfunctions.costfunctions.L1Cost method) (ceml.backend.tensorflow.costfunctions.costfunctions.L2Cost method) (ceml.backend.tensorflow.costfunctions.costfunctions.LMadCost method) (ceml.backend.tensorflow.costfunctions.costfunctions.NegLogLikelihoodCost method) (ceml.backend.tensorflow.costfunctions.costfunctions.RegularizedCost method) (ceml.backend.tensorflow.costfunctions.costfunctions.SquaredError method) (ceml.backend.torch.costfunctions.costfunctions.DummyCost method) (ceml.backend.torch.costfunctions.costfunctions.L1Cost method) (ceml.backend.torch.costfunctions.costfunctions.L2Cost method) (ceml.backend.torch.costfunctions.costfunctions.LMadCost method) (ceml.backend.torch.costfunctions.costfunctions.MinOfListCost method) (ceml.backend.torch.costfunctions.costfunctions.NegLogLikelihoodCost method) (ceml.backend.torch.costfunctions.costfunctions.RegularizedCost method) (ceml.backend.torch.costfunctions.costfunctions.SquaredError method) (ceml.costfunctions.costfunctions.CostFunction method) (ceml.costfunctions.costfunctions.RegularizedCost method) (ceml.sklearn.isolationforest.IsolationForestCost method) (ceml.sklearn.randomforest.EnsembleVotingCost method)

SDP (class in ceml.optim.cvx) select_candidates() (ceml.optim.ga.EvolutionaryOptimizer method) sigma_inv (ceml.sklearn.lda.Lda attribute) (ceml.sklearn.qda.Qda attribute) SklearnCounterfactual (class in ceml.sklearn.counterfactual) SoftmaxCounterfactual (class in ceml.sklearn.softmaxregression) SoftmaxRegression (class in ceml.sklearn.softmaxregression) softmaxregression_generate_counterfactual() (in module ceml.sklearn.softmaxregression) solve() (ceml.optim.cvx.DCQP method) (ceml.sklearn.lvq.LvqCounterfactual method) (ceml.sklearn.naivebayes.GaussianNbCounterfactual method) (ceml.sklearn.qda.QdaCounterfactual method) SquaredError (class in ceml.backend.jax.costfunctions.costfunctions) (class in ceml.backend.tensorflow.costfunctions.costfunctions) (class in ceml.backend.torch.costfunctions.costfunctions) StandardScaler (class in ceml.backend.jax.preprocessing) SupportAffinePreprocessing (class in ceml.optim.cvx)

T

TfCounterfactual (class in ceml.tfkeras.counterfactual) TfOptimizer (class in ceml.backend.tensorflow.optimizer.optimizer)

TopKMinOfListDistCost (class in ceml.backend.jax.costfunctions.costfunctions) TorchCounterfactual (class in ceml.torch.counterfactual) TorchOptimizer (class in ceml.backend.torch.optimizer.optimizer)

V

validate() (ceml.optim.ga.EvolutionaryOptimizer method)

variances (ceml.sklearn.naivebayes.GaussianNB attribute)

W

w (ceml.sklearn.linearregression.LinearRegression attribute) (ceml.sklearn.softmaxregression.SoftmaxRegression attribute)

X

X (ceml.sklearn.knn.KNN attribute)

Y

y (ceml.sklearn.knn.KNN attribute)