SecML
v0.10
User Guide
1. Training of Classifiers and Visualization of Results
2. Evasion Attacks against Machine Learning models
3. Transferability of Evasion Attacks
4. Poisoning Attacks against Machine Learning models
5. Evasion and Poisoning Attacks on MNIST dataset
6. Neural Networks with PyTorch
7. Evasion Attacks against Neural Networks on MNIST dataset
8. Evasion Attacks on ImageNet dataset
9. Explaining Machine Learning
Core & Data Structures
secml.core
CCreator
attr_utils
constants
decorators
exceptions
type_utils
secml.array
CArray
array_utils
secml.data
secml.data.loader
CDataLoader
CDataLoaderCIFAR
CDataLoaderICubWorld
CDataLoaderImgClients
CDataLoaderImgFolders
CDataLoaderLFW
CDataLoaderMNIST
CDataLoaderPyTorch
CDataLoaderSkLearn
CDataLoaderSvmLight
CDataLoaderTorchDataset
loader_utils
secml.data.selection
CPrototypesSelector
CPSBorder
CPSCenter
CPSKMedians
CPSRandom
CPSSpanning
secml.data.splitter
CDataSplitter
CDataSplitterKFold
CDataSplitterLabelKFold
CDataSplitterOpenWorldKFold
CDataSplitterShuffle
CDataSplitterStratifiedKFold
CTrainTestSplit
CChronologicalSplitter
CDataset
CDatasetHeader
CDatasetPyTorch
data_utils
Machine Learning
secml.ml
secml.ml.classifiers
secml.ml.classifiers.multiclass
CClassifierMulticlass
CClassifierMulticlassOVA
secml.ml.classifiers.reject
CClassifierReject
CClassifierRejectThreshold
secml.ml.classifiers.loss
CLoss
CLossCrossEntropy
CLossEpsilonInsensitive
CLossHinge
CLossLogistic
CLossSquare
CSoftmax
secml.ml.classifiers.regularizer
CRegularizer
CRegularizerElasticNet
CRegularizerL1
CRegularizerL2
CClassifier
CClassifierLinear
CClassifierSkLearn
CClassifierDecisionTree
CClassifierKNN
CClassifierLogistic
CClassifierNearestCentroid
CClassifierRandomForest
CClassifierRidge
CClassifierSGD
CClassifierSVM
CClassifierPyTorch
CModelCleverhans
clf_utils
secml.ml.features
secml.ml.features.normalization
CNormalizer
CNormalizerLinear
CNormalizerMeanStd
CNormalizerMinMax
CNormalizerUnitNorm
CNormalizerDNN
secml.ml.features.reduction
CReducer
CLDA
CPCA
CPreProcess
secml.ml.kernel
CKernel
CKernelChebyshevDistance
CKernelEuclidean
CKernelHistIntersect
CKernelLaplacian
CKernelLinear
CKernelPoly
CKernelRBF
secml.ml.peval
secml.ml.peval.metrics
CMetric
CMetricAccuracy
CMetricAUC
CMetricAUCWMW
CMetricConfusionMatrix
CMetricF1
CMetricMAE
CMetricMSE
CMetricPartialAUC
CMetricPrecision
CMetricRecall
CRoc
CMetricTestError
CMetricTPRatFPR
CPerfEvaluator
CPerfEvaluatorXVal
CPerfEvaluatorXValMulticlass
secml.ml.stats
CDensityEstimation
CDistributionGaussian
secml.adv
secml.adv.attacks
secml.adv.attacks.evasion
CAttackEvasion
CAttackEvasionPGD
CAttackEvasionPGDLS
CAttackEvasionCleverhans
secml.adv.attacks.poisoning
CAttackPoisoning
CAttackPoisoningLogisticRegression
CAttackPoisoningRidge
CAttackPoisoningSVM
CAttack
secml.adv.seceval
CSecEval
CSecEvalData
secml.optim
secml.optim.function
CFunction
CFunctionLinear
CFunctionQuadratic
CFunctionRosenbrock
CFunctionThreeHumpCamel
CFunctionBeale
CFunctionMcCormick
secml.optim.optimizers
secml.optim.optimizers.line_search
CLineSearch
CLineSearchBisect
COptimizer
COptimizerPGDLS
COptimizerPGD
COptimizerScipy
secml.optim.constraints
CConstraint
CConstraintBox
CConstraintL1
CConstraintL2
Explanation
secml.explanation
CExplainer
CExplainerGradient
CExplainerGradientInput
CExplainerIntegratedGradients
CExplainerInfluenceFunctions
Visualization
secml.figure
CFigure
CPlot
Utilities
secml.parallel
parfor
secml.utils
CLog
c_file_manager
pickle_utils
download_utils
dict_utils
list_utils
mixed_utils
secml.settings
secml.testing
CUnitTest
References
UPDATE GUIDES
From 0.8.* to 0.9
1. Configuration file
2. Deprecations
CHANGELOG
v0.10 (29/10/2019)
Requirements (1 change)
Added (4 changes)
Improved (6 changes)
Changed (4 changes)
Fixed (4 changes)
Removed & Deprecated (5 changes)
Documentation (5 changes)
v0.9 (11/10/2019)
Improved (1 change)
Changed (1 change)
Fixed (1 change)
Documentation (2 changes)
Deprecations (3 changes)
v0.8.1 (05/09/2019)
Documentation (2 changes)
v0.8 (06/08/2019)
ROADMAP
SecML
Docs
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A
a (secml.array.c_array.CArray attribute)
abspath() (in module secml.utils.c_file_manager)
add_discrete_perturbation() (secml.adv.attacks.poisoning.c_attack_poisoning.CAttackPoisoning method)
add_readonly() (in module secml.core.attr_utils)
add_readwrite() (in module secml.core.attr_utils)
adv_ds() (secml.adv.seceval.c_sec_eval_data.CSecEvalData property)
all() (secml.array.c_array.CArray method)
alpha() (secml.ml.classifiers.sklearn.c_classifier_ridge.CClassifierRidge property)
(secml.ml.classifiers.sklearn.c_classifier_sgd.CClassifierSGD property)
(secml.ml.classifiers.sklearn.c_classifier_svm.CClassifierSVM property)
alpha_xc() (secml.adv.attacks.poisoning.c_attack_poisoning_svm.CAttackPoisoningSVM method)
any() (secml.array.c_array.CArray method)
append() (secml.array.c_array.CArray method)
(secml.data.c_dataset.CDataset method)
(secml.data.c_dataset_header.CDatasetHeader method)
apply_along_axis() (secml.array.c_array.CArray method)
apply_method() (secml.ml.classifiers.multiclass.c_classifier_multi.CClassifierMulticlass method)
apply_params_clf() (secml.figure._plots.c_plot_classifier.CPlotClassifier method)
apply_params_ds() (secml.figure._plots.c_plot_ds.CPlotDataset method)
apply_params_fun() (secml.figure._plots.c_plot_fun.CPlotFunction method)
apply_params_sec_eval() (secml.figure._plots.c_plot_sec_eval.CPlotSecEval method)
apply_params_stats() (secml.figure._plots.c_plot_stats.CPlotStats method)
approx_fprime() (secml.optim.function.c_function.CFunction method)
arange() (secml.array.c_array.CArray class method)
argmax() (secml.array.c_array.CArray method)
argmin() (secml.array.c_array.CArray method)
argsort() (secml.array.c_array.CArray method)
ArrayUtils (module)
as_private() (in module secml.core.attr_utils)
as_protected() (in module secml.core.attr_utils)
as_public() (in module secml.core.attr_utils)
assert_allclose() (secml.testing.c_unittest.CUnitTest method)
assert_approx_equal() (secml.testing.c_unittest.CUnitTest method)
assert_array_almost_equal() (secml.testing.c_unittest.CUnitTest method)
assert_array_almost_equal_nulp() (secml.testing.c_unittest.CUnitTest method)
assert_array_equal() (secml.testing.c_unittest.CUnitTest method)
assert_array_less() (secml.testing.c_unittest.CUnitTest method)
assert_array_max_ulp() (secml.testing.c_unittest.CUnitTest method)
assertIsSubDtype() (secml.testing.c_unittest.CUnitTest static method)
astype() (secml.array.c_array.CArray method)
atleast_2d() (secml.array.c_array.CArray method)
attach_file() (secml.utils.c_log.CLog method)
attach_stream() (secml.utils.c_log.CLog method)
attack() (secml.adv.seceval.c_sec_eval.CSecEval property)
attack_classes() (secml.adv.attacks.c_attack.CAttack property)
attr_order() (secml.utils.mixed_utils.OrderedFlexibleClass property)
AttributesUtils (module)
average() (in module secml.ml.peval.metrics.c_roc)
(secml.ml.classifiers.sklearn.c_classifier_sgd.CClassifierSGD property)
(secml.ml.peval.metrics.c_roc.CRoc method)
AverageMeter (class in secml.utils.mixed_utils)
B
b() (secml.ml.classifiers.c_classifier_linear.CClassifierLinear property)
(secml.ml.features.normalization.c_normalizer_linear.CNormalizerLinear property)
(secml.ml.features.normalization.c_normalizer_mean_std.CNormalizerMeanStd property)
(secml.ml.features.normalization.c_normalizer_minmax.CNormalizerMinMax property)
bar() (secml.figure._plots.c_plot.CPlot method)
barh() (secml.figure._plots.c_plot.CPlot method)
batch_size() (secml.ml.classifiers.pytorch.c_classifier_pytorch.CClassifierPyTorch property)
best_value (secml.ml.peval.metrics.c_metric.CMetric attribute)
(secml.ml.peval.metrics.c_metric_accuracy.CMetricAccuracy attribute)
(secml.ml.peval.metrics.c_metric_auc.CMetricAUC attribute)
(secml.ml.peval.metrics.c_metric_auc_wmw.CMetricAUCWMW attribute)
(secml.ml.peval.metrics.c_metric_f1.CMetricF1 attribute)
(secml.ml.peval.metrics.c_metric_mae.CMetricMAE attribute)
(secml.ml.peval.metrics.c_metric_mse.CMetricMSE attribute)
(secml.ml.peval.metrics.c_metric_pauc.CMetricPartialAUC attribute)
(secml.ml.peval.metrics.c_metric_precision.CMetricPrecision attribute)
(secml.ml.peval.metrics.c_metric_recall.CMetricRecall attribute)
(secml.ml.peval.metrics.c_metric_test_error.CMetricTestError attribute)
(secml.ml.peval.metrics.c_metric_tpr_at_fpr.CMetricTPRatFPR attribute)
binarize_dataset() (secml.ml.classifiers.multiclass.c_classifier_multi.CClassifierMulticlass static method)
(secml.ml.classifiers.multiclass.c_classifier_multi_ova.CClassifierMulticlassOVA static method)
binary_search() (secml.array.c_array.CArray method)
bincount() (secml.array.c_array.CArray method)
bounds() (secml.optim.function.c_function_mccormick.CFunctionMcCormick static method)
(secml.optim.optimizers.c_optimizer.COptimizer property)
boxplot() (secml.figure._plots.c_plot.CPlot method)
C
C() (secml.ml.classifiers.sklearn.c_classifier_logistic.CClassifierLogistic property)
(secml.ml.classifiers.sklearn.c_classifier_ridge.CClassifierRidge property)
(secml.ml.classifiers.sklearn.c_classifier_sgd.CClassifierSGD property)
(secml.ml.classifiers.sklearn.c_classifier_svm.CClassifierSVM property)
CArray (class in secml.array.c_array)
(module)
catch_warnings() (secml.utils.c_log.CLog static method)
CAttack (class in secml.adv.attacks.c_attack)
(module)
CAttackEvasion (class in secml.adv.attacks.evasion.c_attack_evasion)
(module)
CAttackEvasionCleverhans (class in secml.adv.attacks.evasion.c_attack_evasion_cleverhans)
(module)
CAttackEvasionPGD (class in secml.adv.attacks.evasion.c_attack_evasion_pgd)
(module)
CAttackEvasionPGDLS (class in secml.adv.attacks.evasion.c_attack_evasion_pgd_ls)
(module)
CAttackPoisoning (class in secml.adv.attacks.poisoning.c_attack_poisoning)
(module)
CAttackPoisoningLogisticRegression (class in secml.adv.attacks.poisoning.c_attack_poisoning_logistic_regression)
(module)
CAttackPoisoningRidge (class in secml.adv.attacks.poisoning.c_attack_poisoning_ridge)
(module)
CAttackPoisoningSVM (class in secml.adv.attacks.poisoning.c_attack_poisoning_svm)
(module)
CBaseRoc (class in secml.ml.peval.metrics.c_roc)
CChronologicalSplitter (class in secml.data.splitter.c_chronological_splitter)
(module)
CClassifier (class in secml.ml.classifiers.c_classifier)
(module)
CClassifierDecisionTree (class in secml.ml.classifiers.sklearn.c_classifier_decision_tree)
(module)
CClassifierKNN (class in secml.ml.classifiers.sklearn.c_classifier_knn)
CClassifierLinear (class in secml.ml.classifiers.c_classifier_linear)
(module)
CClassifierLogistic (class in secml.ml.classifiers.sklearn.c_classifier_logistic)
(module)
CClassifierMulticlass (class in secml.ml.classifiers.multiclass.c_classifier_multi)
(module)
CClassifierMulticlassOVA (class in secml.ml.classifiers.multiclass.c_classifier_multi_ova)
(module)
CClassifierNearestCentroid (class in secml.ml.classifiers.sklearn.c_classifier_nearest_centroid)
(module)
CClassifierPyTorch (class in secml.ml.classifiers.pytorch.c_classifier_pytorch)
(module)
CClassifierRandomForest (class in secml.ml.classifiers.sklearn.c_classifier_random_forest)
(module)
CClassifierReject (class in secml.ml.classifiers.reject.c_classifier_reject)
(module)
CClassifierRejectThreshold (class in secml.ml.classifiers.reject.c_classifier_reject_threshold)
(module)
CClassifierRidge (class in secml.ml.classifiers.sklearn.c_classifier_ridge)
(module)
CClassifierSGD (class in secml.ml.classifiers.sklearn.c_classifier_sgd)
(module)
CClassifierSkLearn (class in secml.ml.classifiers.sklearn.c_classifier_sklearn)
(module)
CClassifierSVM (class in secml.ml.classifiers.sklearn.c_classifier_svm)
(module)
CConstraint (class in secml.optim.constraints.c_constraint)
(module)
CConstraintBox (class in secml.optim.constraints.c_constraint_box)
(module)
CConstraintL1 (class in secml.optim.constraints.c_constraint_l1)
(module)
CConstraintL2 (class in secml.optim.constraints.c_constraint_l2)
(module)
CCreator (class in secml.core.c_creator)
CDataLoader (class in secml.data.loader.c_dataloader)
CDataLoaderCIFAR (class in secml.data.loader.c_dataloader_cifar)
CDataLoaderCIFAR10 (class in secml.data.loader.c_dataloader_cifar)
CDataLoaderCIFAR100 (class in secml.data.loader.c_dataloader_cifar)
CDataLoaderICubWorld (class in secml.data.loader.c_dataloader_icubworld)
CDataLoaderICubWorld28 (class in secml.data.loader.c_dataloader_icubworld)
(module)
CDataLoaderImgClients (class in secml.data.loader.c_dataloader_imgclients)
CDataLoaderImgFolders (class in secml.data.loader.c_dataloader_imgfolders)
CDataLoaderLFW (class in secml.data.loader.c_dataloader_lfw)
CDataLoaderMNIST (class in secml.data.loader.c_dataloader_mnist)
CDataLoaderPyTorch (class in secml.data.loader.c_dataloader_pytorch)
(module)
CDataLoaderSklearn (module)
CDataLoaderSvmLight (class in secml.data.loader.c_dataloader_svmlight)
(module)
CDataLoaderTorchDataset (class in secml.data.loader.c_dataloader_torchvision)
CDataset (class in secml.data.c_dataset)
(module)
CDatasetHeader (class in secml.data.c_dataset_header)
(module)
CDatasetPyTorch (class in secml.data.c_dataset_pytorch)
(module)
CDataSplitter (class in secml.data.splitter.c_datasplitter)
(module)
CDataSplitterKFold (class in secml.data.splitter.c_datasplitter_kfold)
(module)
CDataSplitterLabelKFold (class in secml.data.splitter.c_datasplitter_labelkfold)
(module)
CDataSplitterOpenWorldKFold (class in secml.data.splitter.c_datasplitter_openworld)
(module)
CDataSplitterShuffle (class in secml.data.splitter.c_datasplitter_shuffle)
(module)
CDataSplitterStratifiedKFold (class in secml.data.splitter.c_datasplitter_stratkfold)
(module)
CDensityEstimation (class in secml.ml.stats.c_density_estimation)
CDistributionGaussian (class in secml.ml.stats.c_distribution_gaussian)
CDLBoston (class in secml.data.loader.c_dataloader_sklearn)
CDLDiabetes (class in secml.data.loader.c_dataloader_sklearn)
CDLDigits (class in secml.data.loader.c_dataloader_sklearn)
CDLIris (class in secml.data.loader.c_dataloader_sklearn)
CDLRandom (class in secml.data.loader.c_dataloader_sklearn)
CDLRandomBinary (class in secml.data.loader.c_dataloader_sklearn)
CDLRandomBlobs (class in secml.data.loader.c_dataloader_sklearn)
CDLRandomBlobsRegression (class in secml.data.loader.c_dataloader_sklearn)
CDLRandomCircleRegression (class in secml.data.loader.c_dataloader_sklearn)
CDLRandomCircles (class in secml.data.loader.c_dataloader_sklearn)
CDLRandomMoons (class in secml.data.loader.c_dataloader_sklearn)
CDLRandomRegression (class in secml.data.loader.c_dataloader_sklearn)
ceil() (secml.array.c_array.CArray method)
center() (secml.optim.constraints.c_constraint_box.CConstraintBox property)
(secml.optim.constraints.c_constraint_l1.CConstraintL1 property)
(secml.optim.constraints.c_constraint_l2.CConstraintL2 property)
centroids() (secml.ml.classifiers.sklearn.c_classifier_nearest_centroid.CClassifierNearestCentroid property)
CExplainer (class in secml.explanation.c_explainer)
(module)
CExplainerGradient (class in secml.explanation.c_explainer_gradient)
(module)
CExplainerGradientInput (class in secml.explanation.c_explainer_gradient_input)
(module)
CExplainerInfluenceFunctions (class in secml.explanation.c_explainer_influence_functions)
(module)
CExplainerIntegratedGradients (class in secml.explanation.c_explainer_integrated_gradients)
(module)
CFigure (class in secml.figure.c_figure)
(module)
CFunction (class in secml.optim.function.c_function)
(module)
CFunctionBeale (class in secml.optim.function.c_function_beale)
(module)
CFunctionLinear (class in secml.optim.function.c_function_linear)
(module)
CFunctionMcCormick (class in secml.optim.function.c_function_mccormick)
(module)
CFunctionQuadratic (class in secml.optim.function.c_function_quadratic)
(module)
CFunctionRosenbrock (class in secml.optim.function.c_function_rosenbrock)
(module)
CFunctionThreeHumpCamel (class in secml.optim.function.c_function_3hcamel)
check_attributions() (secml.explanation.c_explainer_integrated_gradients.CExplainerIntegratedGradients method)
check_binary_labels() (in module secml.ml.classifiers.clf_utils)
check_grad() (secml.optim.function.c_function.CFunction method)
check_is_fitted() (in module secml.utils.mixed_utils)
check_softmax() (secml.ml.classifiers.pytorch.c_classifier_pytorch.CClassifierPyTorch method)
CKernel (class in secml.ml.kernel.c_kernel)
CKernelChebyshevDistance (class in secml.ml.kernel.c_kernel_chebyshev_distance)
(module)
CKernelEuclidean (class in secml.ml.kernel.c_kernel_euclidean)
(module)
CKernelHistIntersect (class in secml.ml.kernel.c_kernel_histintersect)
(module)
CKernelLaplacian (class in secml.ml.kernel.c_kernel_laplacian)
(module)
CKernelLinear (class in secml.ml.kernel.c_kernel_linear)
(module)
CKernelPoly (class in secml.ml.kernel.c_kernel_poly)
(module)
CKernelRBF (class in secml.ml.kernel.c_kernel_rbf)
(module)
clabel() (secml.figure._plots.c_plot.CPlot method)
class_to_idx() (secml.data.loader.c_dataloader_torchvision.CDataLoaderTorchDataset property)
class_type (secml.adv.attacks.evasion.c_attack_evasion_cleverhans.CAttackEvasionCleverhans attribute)
class_type() (secml.core.c_creator.CCreator property)
class_weight() (secml.ml.classifiers.sklearn.c_classifier_ridge.CClassifierRidge property)
(secml.ml.classifiers.sklearn.c_classifier_sgd.CClassifierSGD property)
(secml.ml.classifiers.sklearn.c_classifier_svm.CClassifierSVM property)
classes() (secml.data.c_dataset.CDataset property)
(secml.ml.classifiers.c_classifier.CClassifier property)
(secml.ml.classifiers.reject.c_classifier_reject_threshold.CClassifierRejectThreshold property)
(secml.ml.features.reduction.c_reducer_lda.CLDA property)
classifier() (secml.adv.attacks.c_attack.CAttack property)
(secml.ml.classifiers.multiclass.c_classifier_multi.CClassifierMulticlass property)
ClassifierUtils (module)
CLDA (class in secml.ml.features.reduction.c_reducer_lda)
(module)
clean_tmp() (secml.data.loader.c_dataloader_lfw.CDataLoaderLFW static method)
clf() (secml.explanation.c_explainer.CExplainer property)
(secml.ml.classifiers.reject.c_classifier_reject_threshold.CClassifierRejectThreshold property)
CLineSearch (class in secml.optim.optimizers.line_search.c_line_search)
(module)
CLineSearchBisect (class in secml.optim.optimizers.line_search.c_line_search_bisect)
(module)
clip() (secml.array.c_array.CArray method)
CLog (class in secml.utils.c_log)
close() (secml.figure.c_figure.CFigure method)
CLoss (class in secml.ml.classifiers.loss.c_loss)
(module)
CLossClassification (class in secml.ml.classifiers.loss.c_loss)
CLossCrossEntropy (class in secml.ml.classifiers.loss.c_loss_cross_entropy)
(module)
CLossEpsilonInsensitive (class in secml.ml.classifiers.loss.c_loss_epsilon_insensitive)
(module)
CLossEpsilonInsensitiveSquared (class in secml.ml.classifiers.loss.c_loss_epsilon_insensitive)
CLossHinge (class in secml.ml.classifiers.loss.c_loss_hinge)
(module)
CLossHingeSquared (class in secml.ml.classifiers.loss.c_loss_hinge)
CLossLogistic (class in secml.ml.classifiers.loss.c_loss_logistic)
(module)
CLossQuadratic (class in secml.ml.classifiers.loss.c_loss_squared)
CLossRegression (class in secml.ml.classifiers.loss.c_loss)
CLossSquare (class in secml.ml.classifiers.loss.c_loss_squared)
(module)
CMetric (class in secml.ml.peval.metrics.c_metric)
(module)
CMetricAccuracy (class in secml.ml.peval.metrics.c_metric_accuracy)
(module)
CMetricAUC (class in secml.ml.peval.metrics.c_metric_auc)
(module)
CMetricAUCWMW (class in secml.ml.peval.metrics.c_metric_auc_wmw)
(module)
CMetricConfusionMatrix (class in secml.ml.peval.metrics.c_confusion_matrix)
(module)
CMetricF1 (class in secml.ml.peval.metrics.c_metric_f1)
(module)
CMetricMAE (class in secml.ml.peval.metrics.c_metric_mae)
(module)
CMetricMSE (class in secml.ml.peval.metrics.c_metric_mse)
(module)
CMetricPartialAUC (class in secml.ml.peval.metrics.c_metric_pauc)
(module)
CMetricPrecision (class in secml.ml.peval.metrics.c_metric_precision)
(module)
CMetricRecall (class in secml.ml.peval.metrics.c_metric_recall)
(module)
CMetricTestError (class in secml.ml.peval.metrics.c_metric_test_error)
(module)
CMetricTPRatFPR (class in secml.ml.peval.metrics.c_metric_tpr_at_fpr)
(module)
CModelCleverhans (class in secml.ml.classifiers.tf.c_model_cleverhans)
(module)
CNormalizer (class in secml.ml.features.normalization.c_normalizer)
(module)
CNormalizerDNN (class in secml.ml.features.normalization.c_normalizer_dnn)
(module)
CNormalizerLinear (class in secml.ml.features.normalization.c_normalizer_linear)
(module)
CNormalizerMeanSTD (class in secml.ml.features.normalization.c_normalizer_mean_std)
CNormalizerMeanStd (class in secml.ml.features.normalization.c_normalizer_mean_std)
(module)
CNormalizerMinMax (class in secml.ml.features.normalization.c_normalizer_minmax)
(module)
CNormalizerUnitNorm (class in secml.ml.features.normalization.c_normalizer_unitnorm)
(module)
coef0() (secml.ml.kernel.c_kernel_poly.CKernelPoly property)
colorbar() (secml.figure._plots.c_plot.CPlot method)
comblist() (secml.array.c_array.CArray class method)
components() (secml.ml.features.reduction.c_reducer_pca.CPCA property)
compute() (secml.ml.peval.metrics.c_roc.CBaseRoc method)
(secml.ml.peval.metrics.c_roc.CRoc method)
compute_indices() (secml.data.splitter.c_chronological_splitter.CChronologicalSplitter method)
(secml.data.splitter.c_datasplitter.CDataSplitter method)
(secml.data.splitter.c_datasplitter_kfold.CDataSplitterKFold method)
(secml.data.splitter.c_datasplitter_labelkfold.CDataSplitterLabelKFold method)
(secml.data.splitter.c_datasplitter_openworld.CDataSplitterOpenWorldKFold method)
(secml.data.splitter.c_datasplitter_shuffle.CDataSplitterShuffle method)
(secml.data.splitter.c_datasplitter_stratkfold.CDataSplitterStratifiedKFold method)
(secml.data.splitter.c_train_test_split.CTrainTestSplit method)
compute_performance() (secml.ml.peval.c_perfevaluator.CPerfEvaluator method)
(secml.ml.peval.c_perfevaluator_xval.CPerfEvaluatorXVal method)
(secml.ml.peval.c_perfevaluator_xval_multiclass.CPerfEvaluatorXValMulticlass method)
concatenate() (secml.array.c_array.CArray class method)
Constants (module)
constr() (secml.optim.optimizers.c_optimizer.COptimizer property)
constraint() (secml.optim.constraints.c_constraint.CConstraint method)
contour() (secml.figure._plots.c_plot.CPlot method)
contourf() (secml.figure._plots.c_plot.CPlot method)
convert_binary_labels() (in module secml.ml.classifiers.clf_utils)
COptimizer (class in secml.optim.optimizers.c_optimizer)
(module)
COptimizerPGD (class in secml.optim.optimizers.c_optimizer_pgd)
(module)
COptimizerPGDLS (class in secml.optim.optimizers.c_optimizer_pgd_ls)
(module)
COptimizerScipy (class in secml.optim.optimizers.c_optimizer_scipy)
(module)
copy() (secml.core.c_creator.CCreator method)
cos() (secml.array.c_array.CArray method)
CPCA (class in secml.ml.features.reduction.c_reducer_pca)
(module)
CPerfEvaluator (class in secml.ml.peval.c_perfevaluator)
CPerfEvaluatorXVal (class in secml.ml.peval.c_perfevaluator_xval)
CPerfEvaluatorXValMulticlass (class in secml.ml.peval.c_perfevaluator_xval_multiclass)
CPlot (class in secml.figure._plots.c_plot)
CPlotClassifier (class in secml.figure._plots.c_plot_classifier)
CPlotConstraint (class in secml.figure._plots.c_plot_constraint)
CPlotDataset (class in secml.figure._plots.c_plot_ds)
CPlotFunction (class in secml.figure._plots.c_plot_fun)
CPlotSecEval (class in secml.figure._plots.c_plot_sec_eval)
CPlotStats (class in secml.figure._plots.c_plot_stats)
CPreProcess (class in secml.ml.features.c_preprocess)
(module)
CPrototypesSelector (class in secml.data.selection.c_prototypes_selector)
CPSBorder (class in secml.data.selection.c_ps_border)
CPSCenter (class in secml.data.selection.c_ps_center)
CPSKMedians (class in secml.data.selection.c_ps_kmedians)
CPSRandom (class in secml.data.selection.c_ps_random)
CPSSpanning (class in secml.data.selection.c_ps_spanning)
create() (secml.core.c_creator.CCreator class method)
create_chain() (secml.ml.features.c_preprocess.CPreProcess static method)
create_points_grid() (in module secml.figure._plots.plot_utils)
Creator (module)
CReducer (class in secml.ml.features.reduction.c_reducer)
(module)
CRegularizer (class in secml.ml.classifiers.regularizer.c_regularizer)
(module)
CRegularizerElasticNet (class in secml.ml.classifiers.regularizer.c_regularizer_elastic_net)
(module)
CRegularizerL1 (class in secml.ml.classifiers.regularizer.c_regularizer_l1)
(module)
CRegularizerL2 (class in secml.ml.classifiers.regularizer.c_regularizer_l2)
(module)
critical() (secml.utils.c_log.CLog method)
CRoc (class in secml.ml.peval.metrics.c_roc)
CROC (module)
crop_img() (in module secml.data.loader.loader_utils)
CSecEval (class in secml.adv.seceval.c_sec_eval)
(module)
CSecEvalData (class in secml.adv.seceval.c_sec_eval_data)
(module)
CSoftmax (class in secml.ml.classifiers.loss.c_softmax)
(module)
CTimer (class in secml.utils.c_log)
CTrainTestSplit (class in secml.data.splitter.c_train_test_split)
(module)
cumsum() (secml.array.c_array.CArray method)
CUnitTest (class in secml.testing.c_unittest)
D
d (secml.array.c_array.CArray attribute)
data_md5() (secml.data.loader.c_dataloader_cifar.CDataLoaderCIFAR property)
(secml.data.loader.c_dataloader_cifar.CDataLoaderCIFAR10 property)
(secml.data.loader.c_dataloader_cifar.CDataLoaderCIFAR100 property)
data_path() (secml.data.loader.c_dataloader_cifar.CDataLoaderCIFAR property)
(secml.data.loader.c_dataloader_cifar.CDataLoaderCIFAR10 property)
(secml.data.loader.c_dataloader_cifar.CDataLoaderCIFAR100 property)
data_url() (secml.data.loader.c_dataloader_cifar.CDataLoaderCIFAR property)
(secml.data.loader.c_dataloader_cifar.CDataLoaderCIFAR10 property)
(secml.data.loader.c_dataloader_cifar.CDataLoaderCIFAR100 property)
DataLoader (module)
DataLoaderCIFAR (module)
DataLoaderImages-w-Clients (module)
DataLoaderImages-w-Folder (module)
DataLoaderLFW (module)
DataLoaderMNIST (module)
DataLoaderTorchDataset (module)
DataUilts (module)
debug() (secml.utils.c_log.CLog method)
decision_function() (secml.ml.classifiers.c_classifier.CClassifier method)
(secml.ml.classifiers.reject.c_classifier_reject_threshold.CClassifierRejectThreshold method)
deepcopy() (secml.core.c_creator.CCreator method)
degree() (secml.ml.kernel.c_kernel_poly.CKernelPoly property)
DensityEstimation (module)
deprecated (class in secml.core.decorators)
diag() (secml.array.c_array.CArray method)
DictionaryUtils (module)
dirsep() (in module secml.utils.c_file_manager)
discrete() (secml.adv.attacks.c_attack.CAttack property)
(secml.optim.optimizers.c_optimizer_pgd_ls.COptimizerPGDLS property)
distance() (secml.adv.attacks.c_attack.CAttack property)
dl_file() (in module secml.utils.download_utils)
dloss() (secml.ml.classifiers.loss.c_loss.CLoss method)
(secml.ml.classifiers.loss.c_loss.CLossClassification method)
(secml.ml.classifiers.loss.c_loss.CLossRegression method)
(secml.ml.classifiers.loss.c_loss_cross_entropy.CLossCrossEntropy method)
(secml.ml.classifiers.loss.c_loss_epsilon_insensitive.CLossEpsilonInsensitive method)
(secml.ml.classifiers.loss.c_loss_epsilon_insensitive.CLossEpsilonInsensitiveSquared method)
(secml.ml.classifiers.loss.c_loss_hinge.CLossHinge method)
(secml.ml.classifiers.loss.c_loss_hinge.CLossHingeSquared method)
(secml.ml.classifiers.loss.c_loss_logistic.CLossLogistic method)
(secml.ml.classifiers.loss.c_loss_squared.CLossQuadratic method)
(secml.ml.classifiers.loss.c_loss_squared.CLossSquare method)
dmax() (secml.adv.attacks.c_attack.CAttack property)
dot() (secml.array.c_array.CArray method)
DownloadUtils (module)
dregularizer() (secml.ml.classifiers.regularizer.c_regularizer.CRegularizer method)
(secml.ml.classifiers.regularizer.c_regularizer_elastic_net.CRegularizerElasticNet method)
(secml.ml.classifiers.regularizer.c_regularizer_l1.CRegularizerL1 method)
(secml.ml.classifiers.regularizer.c_regularizer_l2.CRegularizerL2 method)
dtype() (secml.array.c_array.CArray property)
dump() (secml.data.loader.c_dataloader_svmlight.CDataLoaderSvmLight static method)
E
e (in module secml.core.constants)
eigenval() (secml.ml.features.reduction.c_reducer_pca.CPCA property)
eigenvec() (secml.ml.features.reduction.c_reducer_lda.CLDA property)
(secml.ml.features.reduction.c_reducer_pca.CPCA property)
empty() (secml.array.c_array.CArray class method)
epochs() (secml.ml.classifiers.pytorch.c_classifier_pytorch.CClassifierPyTorch property)
eps (in module secml.core.constants)
eps() (secml.optim.optimizers.c_optimizer_pgd.COptimizerPGD property)
(secml.optim.optimizers.c_optimizer_pgd_ls.COptimizerPGDLS property)
epsilon() (secml.ml.classifiers.loss.c_loss_epsilon_insensitive.CLossEpsilonInsensitive property)
error() (secml.utils.c_log.CLog method)
errorbar() (secml.figure._plots.c_plot.CPlot method)
estimate_density() (secml.ml.stats.c_density_estimation.CDensityEstimation method)
estimate_parameters() (secml.ml.classifiers.c_classifier.CClassifier method)
(secml.ml.classifiers.multiclass.c_classifier_multi.CClassifierMulticlass method)
eta() (secml.optim.optimizers.c_optimizer_pgd.COptimizerPGD property)
(secml.optim.optimizers.c_optimizer_pgd_ls.COptimizerPGDLS property)
eta0() (secml.ml.classifiers.sklearn.c_classifier_sgd.CClassifierSGD property)
eta_max() (secml.optim.optimizers.c_optimizer_pgd_ls.COptimizerPGDLS property)
(secml.optim.optimizers.line_search.c_line_search_bisect.CLineSearchBisect property)
eta_min() (secml.optim.optimizers.c_optimizer_pgd_ls.COptimizerPGDLS property)
(secml.optim.optimizers.line_search.c_line_search_bisect.CLineSearchBisect property)
evaluate_params() (secml.ml.peval.c_perfevaluator.CPerfEvaluator method)
Exceptions (module)
exp() (secml.array.c_array.CArray method)
expanduser() (in module secml.utils.c_file_manager)
explain() (secml.explanation.c_explainer.CExplainer method)
(secml.explanation.c_explainer_gradient.CExplainerGradient method)
(secml.explanation.c_explainer_gradient_input.CExplainerGradientInput method)
(secml.explanation.c_explainer_influence_functions.CExplainerInfluenceFunctions method)
(secml.explanation.c_explainer_integrated_gradients.CExplainerIntegratedGradients method)
explained_variance() (secml.ml.features.reduction.c_reducer_pca.CPCA property)
explained_variance_ratio() (secml.ml.features.reduction.c_reducer_pca.CPCA property)
extract_attr() (in module secml.core.attr_utils)
eye() (secml.array.c_array.CArray class method)
F
f() (secml.optim.optimizers.c_optimizer.COptimizer property)
f_eval() (secml.adv.attacks.c_attack.CAttack property)
(secml.adv.attacks.evasion.c_attack_evasion_cleverhans.CAttackEvasionCleverhans property)
(secml.ml.classifiers.tf.c_model_cleverhans.CModelCleverhans property)
(secml.optim.optimizers.c_optimizer.COptimizer property)
f_opt() (secml.adv.attacks.c_attack.CAttack property)
(secml.optim.optimizers.c_optimizer.COptimizer property)
f_seq() (secml.adv.attacks.c_attack.CAttack property)
(secml.optim.optimizers.c_optimizer.COptimizer property)
feature_range() (secml.ml.features.normalization.c_normalizer_minmax.CNormalizerMinMax property)
file_exist() (in module secml.utils.c_file_manager)
FileManager (module)
fill_between() (secml.figure._plots.c_plot.CPlot method)
filterwarnings() (secml.utils.c_log.CLog static method)
find() (secml.array.c_array.CArray method)
find_2d() (secml.array.c_array.CArray method)
find_duplicates() (in module secml.utils.list_utils)
fit() (secml.ml.classifiers.c_classifier.CClassifier method)
(secml.ml.classifiers.c_classifier_linear.CClassifierLinear method)
(secml.ml.classifiers.reject.c_classifier_reject_threshold.CClassifierRejectThreshold method)
(secml.ml.classifiers.sklearn.c_classifier_svm.CClassifierSVM method)
(secml.ml.features.c_preprocess.CPreProcess method)
(secml.ml.features.normalization.c_normalizer_dnn.CNormalizerDNN method)
fit_transform() (secml.ml.features.c_preprocess.CPreProcess method)
flatten() (secml.array.c_array.CArray method)
floor() (secml.array.c_array.CArray method)
fobj() (secml.adv.seceval.c_sec_eval_data.CSecEvalData property)
folder_exist() (in module secml.utils.c_file_manager)
forward() (secml.ml.features.c_preprocess.CPreProcess method)
fpr() (secml.ml.peval.metrics.c_roc.CBaseRoc property)
(secml.ml.peval.metrics.c_roc.CRoc property)
fprop() (secml.ml.classifiers.tf.c_model_cleverhans.CModelCleverhans method)
from_iterables() (secml.array.c_array.CArray class method)
fun() (secml.optim.function.c_function.CFunction method)
fun_ndarray() (secml.optim.function.c_function.CFunction method)
FunctionUtils (module)
G
gamma() (secml.ml.kernel.c_kernel_laplacian.CKernelLaplacian property)
(secml.ml.kernel.c_kernel_poly.CKernelPoly property)
(secml.ml.kernel.c_kernel_rbf.CKernelRBF property)
GaussianDistribution (module)
get_bounds() (secml.data.c_dataset.CDataset method)
get_child() (secml.utils.c_log.CLog method)
get_class_from_type() (secml.core.c_creator.CCreator class method)
get_data() (secml.array.c_array.CArray method)
get_default_params() (secml.figure.c_figure.CFigure method)
get_labels_onehot() (secml.data.c_dataset.CDataset method)
get_labels_ovr() (secml.data.c_dataset.CDataset method)
get_layer_output() (secml.ml.classifiers.pytorch.c_classifier_pytorch.CClassifierPyTorch method)
get_layer_shape() (secml.ml.classifiers.pytorch.c_classifier_pytorch.CClassifierPyTorch method)
get_layers() (in module secml.ml.classifiers.pytorch.c_classifier_pytorch)
get_legend() (secml.figure._plots.c_plot.CPlot method)
get_legend_handles_labels() (secml.figure._plots.c_plot.CPlot method)
get_lines() (secml.figure._plots.c_plot.CPlot method)
get_loader() (secml.data.loader.c_dataloader_pytorch.CDataLoaderPyTorch method)
get_nnz() (secml.array.c_array.CArray method)
get_params() (secml.core.c_creator.CCreator method)
(secml.ml.classifiers.pytorch.c_classifier_pytorch.CClassifierPyTorch method)
(secml.ml.classifiers.sklearn.c_classifier_sklearn.CClassifierSkLearn method)
get_private() (in module secml.core.attr_utils)
get_property() (in module secml.core.attr_utils)
get_subclasses() (secml.core.c_creator.CCreator class method)
get_tempfile() (in module secml.utils.c_file_manager)
get_xticks_idx() (secml.figure._plots.c_plot.CPlot method)
getrandbits() (in module secml.ml.classifiers.tf.c_model_cleverhans)
global_min() (secml.optim.function.c_function_3hcamel.CFunctionThreeHumpCamel static method)
(secml.optim.function.c_function_beale.CFunctionBeale static method)
(secml.optim.function.c_function_mccormick.CFunctionMcCormick static method)
(secml.optim.function.c_function_rosenbrock.CFunctionRosenbrock static method)
global_min_x() (secml.optim.function.c_function_3hcamel.CFunctionThreeHumpCamel static method)
(secml.optim.function.c_function_beale.CFunctionBeale static method)
(secml.optim.function.c_function_mccormick.CFunctionMcCormick static method)
(secml.optim.function.c_function_rosenbrock.CFunctionRosenbrock static method)
grad_eval() (secml.adv.attacks.c_attack.CAttack property)
(secml.adv.attacks.evasion.c_attack_evasion_cleverhans.CAttackEvasionCleverhans property)
(secml.ml.classifiers.tf.c_model_cleverhans.CModelCleverhans property)
(secml.optim.optimizers.c_optimizer.COptimizer property)
grad_inner_loss_params() (secml.explanation.c_explainer_influence_functions.CExplainerInfluenceFunctions method)
grad_outer_loss_params() (secml.explanation.c_explainer_influence_functions.CExplainerInfluenceFunctions method)
grad_sampling() (secml.ml.classifiers.sklearn.c_classifier_svm.CClassifierSVM property)
gradient() (secml.ml.classifiers.loss.c_softmax.CSoftmax method)
(secml.ml.features.normalization.c_normalizer_dnn.CNormalizerDNN method)
(secml.ml.kernel.c_kernel.CKernel method)
(secml.ml.kernel.c_kernel_euclidean.CKernelEuclidean method)
(secml.optim.constraints.c_constraint.CConstraint method)
(secml.optim.function.c_function.CFunction method)
gradient_ndarray() (secml.optim.function.c_function.CFunction method)
grid() (secml.figure._plots.c_plot.CPlot method)
H
has_compatible_shape() (secml.array.c_array.CArray method)
has_fun() (secml.optim.function.c_function.CFunction method)
has_getter() (in module secml.core.attr_utils)
has_gradient() (secml.optim.function.c_function.CFunction method)
has_mean() (secml.ml.peval.metrics.c_roc.CRoc property)
has_private() (in module secml.core.attr_utils)
has_property() (in module secml.core.attr_utils)
has_protected() (in module secml.core.attr_utils)
has_setter() (in module secml.core.attr_utils)
has_std_dev() (secml.ml.peval.metrics.c_roc.CRoc property)
has_super() (in module secml.core.c_creator)
header() (secml.data.c_dataset.CDataset property)
hessian() (secml.explanation.c_explainer_influence_functions.CExplainerInfluenceFunctions method)
hist() (secml.figure._plots.c_plot.CPlot method)
hook_layer_output() (secml.ml.classifiers.pytorch.c_classifier_pytorch.CClassifierPyTorch method)
I
import_class_types() (in module secml.core.c_creator)
import_package_classes() (in module secml.core.c_creator)
importskip (secml.testing.c_unittest.CUnitTest attribute)
imshow() (secml.figure._plots.c_plot.CPlot method)
inf (in module secml.core.constants)
info() (secml.utils.c_log.CLog method)
interp() (secml.array.c_array.CArray method)
inv() (secml.array.c_array.CArray method)
inverse_transform() (secml.ml.features.c_preprocess.CPreProcess method)
invert_dict() (in module secml.utils.dict_utils)
is_active() (secml.optim.constraints.c_constraint.CConstraint method)
(secml.optim.constraints.c_constraint_box.CConstraintBox method)
is_attack_class() (secml.adv.attacks.c_attack.CAttack method)
is_bool() (in module secml.core.type_utils)
is_bytes() (in module secml.core.type_utils)
is_dict() (in module secml.core.type_utils)
is_equal() (secml.optim.function.c_function.CFunction method)
is_fitted() (secml.ml.classifiers.c_classifier.CClassifier method)
is_float() (in module secml.core.type_utils)
is_floatlike() (in module secml.core.type_utils)
is_inf() (in module secml.core.type_utils)
(secml.array.c_array.CArray method)
is_int() (in module secml.core.type_utils)
is_intlike() (in module secml.core.type_utils)
is_kernel_linear() (secml.ml.classifiers.sklearn.c_classifier_ridge.CClassifierRidge method)
(secml.ml.classifiers.sklearn.c_classifier_sgd.CClassifierSGD method)
(secml.ml.classifiers.sklearn.c_classifier_svm.CClassifierSVM method)
is_linear() (secml.ml.classifiers.c_classifier.CClassifier method)
(secml.ml.classifiers.c_classifier_linear.CClassifierLinear method)
(secml.ml.classifiers.sklearn.c_classifier_ridge.CClassifierRidge method)
(secml.ml.classifiers.sklearn.c_classifier_sgd.CClassifierSGD method)
(secml.ml.classifiers.sklearn.c_classifier_svm.CClassifierSVM method)
(secml.ml.features.normalization.c_normalizer.CNormalizer method)
(secml.ml.features.normalization.c_normalizer_linear.CNormalizerLinear method)
is_list() (in module secml.core.type_utils)
is_list_of_lists() (in module secml.core.type_utils)
is_nan() (in module secml.core.type_utils)
(secml.array.c_array.CArray method)
is_ndarray() (in module secml.core.type_utils)
is_neginf() (in module secml.core.type_utils)
(secml.array.c_array.CArray method)
is_posinf() (in module secml.core.type_utils)
(secml.array.c_array.CArray method)
is_protected() (in module secml.core.attr_utils)
is_public() (in module secml.core.attr_utils)
is_readable() (in module secml.core.attr_utils)
is_readonly() (in module secml.core.attr_utils)
is_readwrite() (in module secml.core.attr_utils)
is_scalar() (in module secml.core.type_utils)
is_scalarlike() (in module secml.core.type_utils)
is_scsarray() (in module secml.core.type_utils)
is_set() (in module secml.core.type_utils)
is_slice() (in module secml.core.type_utils)
is_str() (in module secml.core.type_utils)
is_tuple() (in module secml.core.type_utils)
is_vector_index() (in module secml.array.array_utils)
is_vector_like() (secml.array.c_array.CArray property)
is_violated() (secml.optim.constraints.c_constraint.CConstraint method)
(secml.optim.constraints.c_constraint_box.CConstraintBox method)
is_writable() (in module secml.core.attr_utils)
isdense() (secml.array.c_array.CArray property)
(secml.data.c_dataset.CDataset property)
issparse() (secml.adv.attacks.c_attack.CAttack property)
(secml.array.c_array.CArray property)
(secml.data.c_dataset.CDataset property)
item() (secml.array.c_array.CArray method)
J
join() (in module secml.utils.c_file_manager)
K
k() (secml.ml.kernel.c_kernel.CKernel method)
Kernel (module)
kernel() (secml.ml.classifiers.sklearn.c_classifier_ridge.CClassifierRidge property)
(secml.ml.classifiers.sklearn.c_classifier_sgd.CClassifierSGD property)
(secml.ml.classifiers.sklearn.c_classifier_svm.CClassifierSVM property)
kneighbors() (secml.ml.classifiers.sklearn.c_classifier_knn.CClassifierKNN method)
KNeighborsClassifier (module)
L
l1_ratio() (secml.ml.classifiers.regularizer.c_regularizer_elastic_net.CRegularizerElasticNet property)
label_binarize_onehot() (in module secml.data.data_utils)
lastin() (secml.utils.dict_utils.LastInDict property)
lastin_key() (secml.utils.dict_utils.LastInDict property)
LastInDict (class in secml.utils.dict_utils)
layer_shapes() (secml.ml.classifiers.pytorch.c_classifier_pytorch.CClassifierPyTorch property)
layers() (secml.ml.classifiers.pytorch.c_classifier_pytorch.CClassifierPyTorch property)
lb() (secml.adv.attacks.c_attack.CAttack property)
(secml.optim.constraints.c_constraint_box.CConstraintBox property)
legend() (secml.figure._plots.c_plot.CPlot method)
level() (secml.utils.c_log.CLog property)
linearly_interpolate() (secml.explanation.c_explainer_integrated_gradients.CExplainerIntegratedGradients static method)
linspace() (secml.array.c_array.CArray class method)
list_class_types() (secml.core.c_creator.CCreator class method)
ListUtils (module)
load() (in module secml.utils.pickle_utils)
(secml.adv.seceval.c_sec_eval_data.CSecEvalData class method)
(secml.array.c_array.CArray class method)
(secml.core.c_creator.CCreator class method)
(secml.data.loader.c_dataloader.CDataLoader method)
(secml.data.loader.c_dataloader_cifar.CDataLoaderCIFAR method)
(secml.data.loader.c_dataloader_cifar.CDataLoaderCIFAR10 method)
(secml.data.loader.c_dataloader_cifar.CDataLoaderCIFAR100 method)
(secml.data.loader.c_dataloader_icubworld.CDataLoaderICubWorld method)
(secml.data.loader.c_dataloader_icubworld.CDataLoaderICubWorld28 method)
(secml.data.loader.c_dataloader_imgclients.CDataLoaderImgClients method)
(secml.data.loader.c_dataloader_imgfolders.CDataLoaderImgFolders method)
(secml.data.loader.c_dataloader_lfw.CDataLoaderLFW method)
(secml.data.loader.c_dataloader_mnist.CDataLoaderMNIST method)
(secml.data.loader.c_dataloader_sklearn.CDLRandom method)
(secml.data.loader.c_dataloader_sklearn.CDLRandomBinary method)
(secml.data.loader.c_dataloader_sklearn.CDLRandomBlobs method)
(secml.data.loader.c_dataloader_sklearn.CDLRandomBlobsRegression method)
(secml.data.loader.c_dataloader_sklearn.CDLRandomCircleRegression method)
(secml.data.loader.c_dataloader_sklearn.CDLRandomCircles method)
(secml.data.loader.c_dataloader_sklearn.CDLRandomMoons method)
(secml.data.loader.c_dataloader_sklearn.CDLRandomRegression method)
(secml.data.loader.c_dataloader_svmlight.CDataLoaderSvmLight method)
(secml.data.loader.c_dataloader_torchvision.CDataLoaderTorchDataset method)
load_data() (secml.adv.seceval.c_sec_eval.CSecEval method)
load_dict() (in module secml.utils.dict_utils)
load_model() (secml.ml.classifiers.pytorch.c_classifier_pytorch.CClassifierPyTorch method)
LoaderUtils (module)
log() (secml.array.c_array.CArray method)
(secml.utils.c_log.CLog method)
log10() (secml.array.c_array.CArray method)
Logger (module)
logger() (secml.core.c_creator.CCreator property)
(secml.testing.c_unittest.CUnitTest property)
logger_id() (secml.utils.c_log.CLog property)
logical_and() (secml.array.c_array.CArray method)
logical_not() (secml.array.c_array.CArray method)
logical_or() (secml.array.c_array.CArray method)
loglog() (secml.figure._plots.c_plot.CPlot method)
logpdf() (secml.ml.stats.c_distribution_gaussian.CDistributionGaussian method)
loss() (secml.ml.classifiers.loss.c_loss.CLoss method)
(secml.ml.classifiers.loss.c_loss.CLossClassification method)
(secml.ml.classifiers.loss.c_loss.CLossRegression method)
(secml.ml.classifiers.loss.c_loss_cross_entropy.CLossCrossEntropy method)
(secml.ml.classifiers.loss.c_loss_epsilon_insensitive.CLossEpsilonInsensitive method)
(secml.ml.classifiers.loss.c_loss_epsilon_insensitive.CLossEpsilonInsensitiveSquared method)
(secml.ml.classifiers.loss.c_loss_hinge.CLossHinge method)
(secml.ml.classifiers.loss.c_loss_hinge.CLossHingeSquared method)
(secml.ml.classifiers.loss.c_loss_logistic.CLossLogistic method)
(secml.ml.classifiers.loss.c_loss_squared.CLossQuadratic method)
(secml.ml.classifiers.loss.c_loss_squared.CLossSquare method)
(secml.ml.classifiers.pytorch.c_classifier_pytorch.CClassifierPyTorch property)
(secml.ml.classifiers.sklearn.c_classifier_sgd.CClassifierSGD property)
M
main (secml.testing.c_unittest.CUnitTest attribute)
make_folder() (in module secml.utils.c_file_manager)
make_folder_incwd() (in module secml.utils.c_file_manager)
make_rand_folder() (in module secml.utils.c_file_manager)
matshow() (secml.figure._plots.c_plot.CPlot method)
max() (secml.array.c_array.CArray method)
(secml.ml.features.normalization.c_normalizer_minmax.CNormalizerMinMax property)
max_iter() (secml.ml.classifiers.sklearn.c_classifier_logistic.CClassifierLogistic property)
(secml.optim.optimizers.c_optimizer_pgd.COptimizerPGD property)
(secml.optim.optimizers.c_optimizer_pgd_ls.COptimizerPGDLS property)
maximize() (secml.optim.optimizers.c_optimizer.COptimizer method)
maximum() (secml.array.c_array.CArray method)
McCormickFunction (module)
md5() (in module secml.utils.download_utils)
mean() (secml.array.c_array.CArray method)
(secml.ml.features.normalization.c_normalizer_mean_std.CNormalizerMeanStd property)
(secml.ml.features.reduction.c_reducer_lda.CLDA property)
(secml.ml.features.reduction.c_reducer_pca.CPCA property)
mean_fpr() (secml.ml.peval.metrics.c_roc.CRoc property)
mean_tpr() (secml.ml.peval.metrics.c_roc.CRoc property)
median() (secml.array.c_array.CArray method)
merge() (secml.figure._plots.c_plot.CPlot method)
merge_dicts() (in module secml.utils.dict_utils)
meshgrid() (secml.array.c_array.CArray class method)
metric() (secml.ml.classifiers.sklearn.c_classifier_nearest_centroid.CClassifierNearestCentroid property)
min() (secml.array.c_array.CArray method)
(secml.ml.features.normalization.c_normalizer_minmax.CNormalizerMinMax property)
minimize() (secml.optim.optimizers.c_optimizer.COptimizer method)
(secml.optim.optimizers.c_optimizer_pgd.COptimizerPGD method)
(secml.optim.optimizers.c_optimizer_pgd_ls.COptimizerPGDLS method)
(secml.optim.optimizers.c_optimizer_scipy.COptimizerScipy method)
(secml.optim.optimizers.line_search.c_line_search.CLineSearch method)
(secml.optim.optimizers.line_search.c_line_search_bisect.CLineSearchBisect method)
minimum() (secml.array.c_array.CArray method)
N
n_classes() (secml.ml.classifiers.c_classifier.CClassifier property)
(secml.ml.classifiers.reject.c_classifier_reject_threshold.CClassifierRejectThreshold property)
n_dim() (secml.adv.attacks.c_attack.CAttack property)
(secml.optim.function.c_function.CFunction property)
(secml.optim.optimizers.c_optimizer.COptimizer property)
n_features() (secml.ml.classifiers.c_classifier.CClassifier property)
n_fun_eval() (secml.optim.function.c_function.CFunction property)
n_grad_eval() (secml.optim.function.c_function.CFunction property)
n_iter() (secml.optim.optimizers.line_search.c_line_search_bisect.CLineSearchBisect property)
n_jobs() (secml.ml.classifiers.pytorch.c_classifier_pytorch.CClassifierPyTorch method)
n_lines() (secml.figure._plots.c_plot.CPlot property)
n_points() (secml.adv.attacks.poisoning.c_attack_poisoning.CAttackPoisoning property)
n_reps() (secml.ml.peval.metrics.c_roc.CRoc property)
n_sp() (secml.figure.c_figure.CFigure property)
n_sv() (secml.ml.classifiers.sklearn.c_classifier_svm.CClassifierSVM property)
n_tr_samples() (secml.ml.classifiers.sklearn.c_classifier_ridge.CClassifierRidge property)
(secml.ml.classifiers.sklearn.c_classifier_sgd.CClassifierSGD property)
nan (in module secml.core.constants)
nan_to_num() (secml.array.c_array.CArray method)
nanargmax() (secml.array.c_array.CArray method)
nanargmin() (secml.array.c_array.CArray method)
nanmax() (secml.array.c_array.CArray method)
nanmin() (secml.array.c_array.CArray method)
ndim() (secml.array.c_array.CArray property)
net() (secml.ml.features.normalization.c_normalizer_dnn.CNormalizerDNN property)
nnz() (secml.array.c_array.CArray property)
nnz_data() (secml.array.c_array.CArray property)
nnz_indices() (secml.array.c_array.CArray property)
norm() (secml.array.c_array.CArray method)
(secml.ml.features.normalization.c_normalizer_unitnorm.CNormalizerUnitNorm property)
norm_2d() (secml.array.c_array.CArray method)
normpath() (in module secml.utils.c_file_manager)
normpdf() (secml.array.c_array.CArray method)
NotFittedError
num_classes() (secml.data.c_dataset.CDataset property)
num_classifiers() (secml.ml.classifiers.multiclass.c_classifier_multi.CClassifierMulticlass property)
num_features() (secml.data.c_dataset.CDataset property)
num_labels() (secml.data.c_dataset.CDataset property)
num_samples() (secml.data.c_dataset.CDataset property)
(secml.data.c_dataset_header.CDatasetHeader property)
O
objective_function() (secml.adv.attacks.evasion.c_attack_evasion.CAttackEvasion method)
ones() (secml.array.c_array.CArray class method)
optimizer() (secml.ml.classifiers.pytorch.c_classifier_pytorch.CClassifierPyTorch property)
order() (secml.ml.features.normalization.c_normalizer_unitnorm.CNormalizerUnitNorm property)
OrderedFlexibleClass (class in secml.utils.mixed_utils)
P
param_name() (secml.adv.seceval.c_sec_eval_data.CSecEvalData property)
param_values() (secml.adv.seceval.c_sec_eval_data.CSecEvalData property)
parfor() (in module secml.parallel.parfor)
parfor2() (in module secml.parallel.parfor)
pdf() (secml.ml.stats.c_distribution_gaussian.CDistributionGaussian method)
performance_score() (secml.ml.peval.metrics.c_metric.CMetric method)
PerformanceEvaluation (module)
PerformanceEvaluationXVal (module)
PerformanceEvaluationXValMulticlass (module)
PickleWrapper (module)
pinv() (secml.array.c_array.CArray method)
plot() (secml.figure._plots.c_plot.CPlot method)
plot_constraint() (secml.figure._plots.c_plot_constraint.CPlotConstraint method)
plot_decision_regions() (secml.figure._plots.c_plot_classifier.CPlotClassifier method)
plot_ds() (secml.figure._plots.c_plot_ds.CPlotDataset method)
plot_fgrads() (secml.figure._plots.c_plot_fun.CPlotFunction method)
plot_fun() (secml.figure._plots.c_plot_fun.CPlotFunction method)
plot_path() (secml.figure._plots.c_plot.CPlot method)
plot_prob_density() (secml.figure._plots.c_plot_stats.CPlotStats method)
plot_sec_eval() (secml.figure._plots.c_plot_sec_eval.CPlotSecEval method)
PlotUtils (module)
pow() (secml.array.c_array.CArray method)
power_t() (secml.ml.classifiers.sklearn.c_classifier_sgd.CClassifierSGD property)
predict() (secml.ml.classifiers.c_classifier.CClassifier method)
(secml.ml.classifiers.reject.c_classifier_reject.CClassifierReject method)
(secml.ml.classifiers.reject.c_classifier_reject_threshold.CClassifierRejectThreshold method)
prepare() (secml.ml.classifiers.multiclass.c_classifier_multi.CClassifierMulticlass method)
prod() (secml.array.c_array.CArray method)
projection() (secml.optim.constraints.c_constraint.CConstraint method)
propagate() (secml.utils.c_log.CLog property)
PrototypesSelector (module)
PrototypesSelectorBorder (module)
PrototypesSelectorCenter (module)
PrototypesSelectorKMedians (module)
PrototypesSelectorRandom (module)
PrototypesSelectorSpanning (module)
Q
quiver() (secml.figure._plots.c_plot.CPlot method)
R
radius() (secml.optim.constraints.c_constraint_box.CConstraintBox property)
(secml.optim.constraints.c_constraint_l1.CConstraintL1 property)
(secml.optim.constraints.c_constraint_l2.CConstraintL2 property)
rand() (secml.array.c_array.CArray class method)
randint() (secml.array.c_array.CArray class method)
randn() (secml.array.c_array.CArray class method)
random_seed() (secml.adv.attacks.poisoning.c_attack_poisoning.CAttackPoisoning property)
(secml.ml.classifiers.sklearn.c_classifier_logistic.CClassifierLogistic property)
randsample() (secml.array.c_array.CArray class method)
randuniform() (secml.array.c_array.CArray class method)
ravel() (secml.array.c_array.CArray method)
refine_roc() (in module secml.ml.peval.metrics.c_roc)
regularizer() (secml.ml.classifiers.regularizer.c_regularizer.CRegularizer method)
(secml.ml.classifiers.regularizer.c_regularizer_elastic_net.CRegularizerElasticNet method)
(secml.ml.classifiers.regularizer.c_regularizer_l1.CRegularizerL1 method)
(secml.ml.classifiers.regularizer.c_regularizer_l2.CRegularizerL2 method)
(secml.ml.classifiers.sklearn.c_classifier_sgd.CClassifierSGD property)
remove_folder() (in module secml.utils.c_file_manager)
remove_handler_file() (secml.utils.c_log.CLog method)
remove_handler_stream() (secml.utils.c_log.CLog method)
repeat() (secml.array.c_array.CArray method)
repmat() (secml.array.c_array.CArray method)
reset() (secml.ml.peval.metrics.c_roc.CBaseRoc method)
(secml.utils.mixed_utils.AverageMeter method)
reset_eval() (secml.optim.function.c_function.CFunction method)
reshape() (secml.array.c_array.CArray method)
resize() (secml.array.c_array.CArray method)
resize_img() (in module secml.data.loader.loader_utils)
round() (secml.array.c_array.CArray method)
run() (secml.adv.attacks.c_attack.CAttack method)
(secml.adv.attacks.evasion.c_attack_evasion.CAttackEvasion method)
(secml.adv.attacks.poisoning.c_attack_poisoning.CAttackPoisoning method)
run_sec_eval() (secml.adv.seceval.c_sec_eval.CSecEval method)
S
save() (in module secml.utils.pickle_utils)
(secml.adv.seceval.c_sec_eval_data.CSecEvalData method)
(secml.array.c_array.CArray method)
(secml.core.c_creator.CCreator method)
save_adv_ds() (secml.adv.seceval.c_sec_eval.CSecEval property)
save_data() (secml.adv.seceval.c_sec_eval.CSecEval method)
save_model() (secml.ml.classifiers.pytorch.c_classifier_pytorch.CClassifierPyTorch method)
savefig() (secml.figure.c_figure.CFigure method)
scatter() (secml.figure._plots.c_plot.CPlot method)
scores() (secml.adv.seceval.c_sec_eval_data.CSecEvalData property)
sec_eval_data() (secml.adv.seceval.c_sec_eval.CSecEval property)
secml.adv (module)
secml.adv.attacks (module)
secml.adv.attacks.c_attack (module)
secml.adv.attacks.evasion (module)
secml.adv.attacks.evasion.c_attack_evasion (module)
secml.adv.attacks.evasion.c_attack_evasion_cleverhans (module)
secml.adv.attacks.evasion.c_attack_evasion_pgd (module)
secml.adv.attacks.evasion.c_attack_evasion_pgd_ls (module)
secml.adv.attacks.poisoning (module)
secml.adv.attacks.poisoning.c_attack_poisoning (module)
secml.adv.attacks.poisoning.c_attack_poisoning_logistic_regression (module)
secml.adv.attacks.poisoning.c_attack_poisoning_ridge (module)
secml.adv.attacks.poisoning.c_attack_poisoning_svm (module)
secml.adv.seceval (module)
secml.adv.seceval.c_sec_eval (module)
secml.adv.seceval.c_sec_eval_data (module)
secml.array (module)
secml.array.array_utils (module)
secml.array.c_array (module)
secml.core (module)
secml.core.attr_utils (module)
secml.core.c_creator (module)
secml.core.constants (module)
secml.core.decorators (module)
secml.core.exceptions (module)
secml.core.type_utils (module)
secml.data (module)
secml.data.c_dataset (module)
secml.data.c_dataset_header (module)
secml.data.c_dataset_pytorch (module)
secml.data.data_utils (module)
secml.data.loader (module)
secml.data.loader.c_dataloader (module)
secml.data.loader.c_dataloader_cifar (module)
secml.data.loader.c_dataloader_icubworld (module)
secml.data.loader.c_dataloader_imgclients (module)
secml.data.loader.c_dataloader_imgfolders (module)
secml.data.loader.c_dataloader_lfw (module)
secml.data.loader.c_dataloader_mnist (module)
secml.data.loader.c_dataloader_pytorch (module)
secml.data.loader.c_dataloader_sklearn (module)
secml.data.loader.c_dataloader_svmlight (module)
secml.data.loader.c_dataloader_torchvision (module)
secml.data.loader.loader_utils (module)
secml.data.selection (module)
secml.data.selection.c_prototypes_selector (module)
secml.data.selection.c_ps_border (module)
secml.data.selection.c_ps_center (module)
secml.data.selection.c_ps_kmedians (module)
secml.data.selection.c_ps_random (module)
secml.data.selection.c_ps_spanning (module)
secml.data.splitter (module)
secml.data.splitter.c_chronological_splitter (module)
secml.data.splitter.c_datasplitter (module)
secml.data.splitter.c_datasplitter_kfold (module)
secml.data.splitter.c_datasplitter_labelkfold (module)
secml.data.splitter.c_datasplitter_openworld (module)
secml.data.splitter.c_datasplitter_shuffle (module)
secml.data.splitter.c_datasplitter_stratkfold (module)
secml.data.splitter.c_train_test_split (module)
secml.explanation (module)
secml.explanation.c_explainer (module)
secml.explanation.c_explainer_gradient (module)
secml.explanation.c_explainer_gradient_input (module)
secml.explanation.c_explainer_influence_functions (module)
secml.explanation.c_explainer_integrated_gradients (module)
secml.figure (module)
secml.figure._plots.plot_utils (module)
secml.figure.c_figure (module)
secml.ml (module)
secml.ml.classifiers (module)
secml.ml.classifiers.c_classifier (module)
secml.ml.classifiers.c_classifier_linear (module)
secml.ml.classifiers.clf_utils (module)
secml.ml.classifiers.loss (module)
secml.ml.classifiers.loss.c_loss (module)
secml.ml.classifiers.loss.c_loss_cross_entropy (module)
secml.ml.classifiers.loss.c_loss_epsilon_insensitive (module)
secml.ml.classifiers.loss.c_loss_hinge (module)
secml.ml.classifiers.loss.c_loss_logistic (module)
secml.ml.classifiers.loss.c_loss_squared (module)
secml.ml.classifiers.loss.c_softmax (module)
secml.ml.classifiers.multiclass (module)
secml.ml.classifiers.multiclass.c_classifier_multi (module)
secml.ml.classifiers.multiclass.c_classifier_multi_ova (module)
secml.ml.classifiers.pytorch.c_classifier_pytorch (module)
secml.ml.classifiers.regularizer (module)
secml.ml.classifiers.regularizer.c_regularizer (module)
secml.ml.classifiers.regularizer.c_regularizer_elastic_net (module)
secml.ml.classifiers.regularizer.c_regularizer_l1 (module)
secml.ml.classifiers.regularizer.c_regularizer_l2 (module)
secml.ml.classifiers.reject (module)
secml.ml.classifiers.reject.c_classifier_reject (module)
secml.ml.classifiers.reject.c_classifier_reject_threshold (module)
secml.ml.classifiers.sklearn.c_classifier_decision_tree (module)
secml.ml.classifiers.sklearn.c_classifier_knn (module)
secml.ml.classifiers.sklearn.c_classifier_logistic (module)
secml.ml.classifiers.sklearn.c_classifier_nearest_centroid (module)
secml.ml.classifiers.sklearn.c_classifier_random_forest (module)
secml.ml.classifiers.sklearn.c_classifier_ridge (module)
secml.ml.classifiers.sklearn.c_classifier_sgd (module)
secml.ml.classifiers.sklearn.c_classifier_sklearn (module)
secml.ml.classifiers.sklearn.c_classifier_svm (module)
secml.ml.classifiers.tf.c_model_cleverhans (module)
secml.ml.features (module)
secml.ml.features.c_preprocess (module)
secml.ml.features.normalization (module)
secml.ml.features.normalization.c_normalizer (module)
secml.ml.features.normalization.c_normalizer_dnn (module)
secml.ml.features.normalization.c_normalizer_linear (module)
secml.ml.features.normalization.c_normalizer_mean_std (module)
secml.ml.features.normalization.c_normalizer_minmax (module)
secml.ml.features.normalization.c_normalizer_unitnorm (module)
secml.ml.features.reduction (module)
secml.ml.features.reduction.c_reducer (module)
secml.ml.features.reduction.c_reducer_lda (module)
secml.ml.features.reduction.c_reducer_pca (module)
secml.ml.kernel (module)
secml.ml.kernel.c_kernel (module)
secml.ml.kernel.c_kernel_chebyshev_distance (module)
secml.ml.kernel.c_kernel_euclidean (module)
secml.ml.kernel.c_kernel_histintersect (module)
secml.ml.kernel.c_kernel_laplacian (module)
secml.ml.kernel.c_kernel_linear (module)
secml.ml.kernel.c_kernel_poly (module)
secml.ml.kernel.c_kernel_rbf (module)
secml.ml.peval (module)
secml.ml.peval.c_perfevaluator (module)
secml.ml.peval.c_perfevaluator_xval (module)
secml.ml.peval.c_perfevaluator_xval_multiclass (module)
secml.ml.peval.metrics (module)
secml.ml.peval.metrics.c_confusion_matrix (module)
secml.ml.peval.metrics.c_metric (module)
secml.ml.peval.metrics.c_metric_accuracy (module)
secml.ml.peval.metrics.c_metric_auc (module)
secml.ml.peval.metrics.c_metric_auc_wmw (module)
secml.ml.peval.metrics.c_metric_f1 (module)
secml.ml.peval.metrics.c_metric_mae (module)
secml.ml.peval.metrics.c_metric_mse (module)
secml.ml.peval.metrics.c_metric_pauc (module)
secml.ml.peval.metrics.c_metric_precision (module)
secml.ml.peval.metrics.c_metric_recall (module)
secml.ml.peval.metrics.c_metric_test_error (module)
secml.ml.peval.metrics.c_metric_tpr_at_fpr (module)
secml.ml.peval.metrics.c_roc (module)
secml.ml.stats (module)
secml.ml.stats.c_density_estimation (module)
secml.ml.stats.c_distribution_gaussian (module)
secml.optim (module)
secml.optim.constraints (module)
secml.optim.constraints.c_constraint (module)
secml.optim.constraints.c_constraint_box (module)
secml.optim.constraints.c_constraint_l1 (module)
secml.optim.constraints.c_constraint_l2 (module)
secml.optim.function (module)
secml.optim.function.c_function (module)
secml.optim.function.c_function_3hcamel (module)
secml.optim.function.c_function_beale (module)
secml.optim.function.c_function_linear (module)
secml.optim.function.c_function_mccormick (module)
secml.optim.function.c_function_quadratic (module)
secml.optim.function.c_function_rosenbrock (module)
secml.optim.optimizers (module)
secml.optim.optimizers.c_optimizer (module)
secml.optim.optimizers.c_optimizer_pgd (module)
secml.optim.optimizers.c_optimizer_pgd_ls (module)
secml.optim.optimizers.c_optimizer_scipy (module)
secml.optim.optimizers.line_search (module)
secml.optim.optimizers.line_search.c_line_search (module)
secml.optim.optimizers.line_search.c_line_search_bisect (module)
secml.parallel (module)
secml.parallel.parfor (module)
secml.settings (module)
secml.testing (module)
secml.testing.c_unittest (module)
secml.utils (module)
secml.utils.c_file_manager (module)
secml.utils.c_log (module)
secml.utils.dict_utils (module)
secml.utils.download_utils (module)
secml.utils.list_utils (module)
secml.utils.mixed_utils (module)
secml.utils.pickle_utils (module)
SECML_CONFIG (in module secml.settings)
SECML_LOGS_PATH (in module secml.settings)
SECML_STORE_LOGS (in module secml.settings)
sel_idx() (secml.data.selection.c_prototypes_selector.CPrototypesSelector property)
select() (secml.data.selection.c_prototypes_selector.CPrototypesSelector method)
(secml.data.selection.c_ps_border.CPSBorder method)
(secml.data.selection.c_ps_center.CPSCenter method)
(secml.data.selection.c_ps_kmedians.CPSKMedians method)
(secml.data.selection.c_ps_random.CPSRandom method)
(secml.data.selection.c_ps_spanning.CPSSpanning method)
semilogx() (secml.figure._plots.c_plot.CPlot method)
semilogy() (secml.figure._plots.c_plot.CPlot method)
set() (secml.core.c_creator.CCreator method)
(secml.figure._plots.c_plot.CPlot method)
(secml.ml.classifiers.multiclass.c_classifier_multi.CClassifierMulticlass method)
set_axisbelow() (secml.figure._plots.c_plot.CPlot method)
set_center_radius() (secml.optim.constraints.c_constraint_box.CConstraintBox method)
set_level() (secml.utils.c_log.CLog method)
set_params() (secml.core.c_creator.CCreator method)
(secml.figure._plots.c_plot.CPlot method)
Settings (module)
setUpClass() (secml.testing.c_unittest.CUnitTest class method)
sha1() (secml.array.c_array.CArray method)
shape() (secml.array.c_array.CArray property)
show() (secml.figure.c_figure.CFigure static method)
shuffle() (secml.array.c_array.CArray method)
sign() (secml.array.c_array.CArray method)
similarity() (secml.ml.kernel.c_kernel.CKernel method)
sin() (secml.array.c_array.CArray method)
size() (secml.array.c_array.CArray property)
skip (secml.testing.c_unittest.CUnitTest attribute)
skipif (secml.testing.c_unittest.CUnitTest attribute)
softmax() (secml.ml.classifiers.loss.c_softmax.CSoftmax method)
solver_params() (secml.adv.attacks.c_attack.CAttack property)
solver_type() (secml.adv.attacks.c_attack.CAttack property)
sort() (secml.array.c_array.CArray method)
sp() (secml.figure.c_figure.CFigure property)
split() (in module secml.utils.c_file_manager)
(secml.data.splitter.c_chronological_splitter.CChronologicalSplitter method)
(secml.data.splitter.c_datasplitter.CDataSplitter method)
(secml.data.splitter.c_train_test_split.CTrainTestSplit method)
sqrt() (secml.array.c_array.CArray method)
std() (secml.array.c_array.CArray method)
(secml.ml.features.normalization.c_normalizer_mean_std.CNormalizerMeanStd property)
std_dev_tpr() (secml.ml.peval.metrics.c_roc.CRoc property)
step() (secml.utils.c_log.CTimer property)
store_dual_vars() (secml.ml.classifiers.sklearn.c_classifier_svm.CClassifierSVM property)
SubLevelsDict (class in secml.utils.dict_utils)
subplot() (secml.figure.c_figure.CFigure method)
subplots_adjust() (secml.figure.c_figure.CFigure method)
suitable_for (secml.ml.classifiers.loss.c_loss.CLossClassification attribute)
(secml.ml.classifiers.loss.c_loss.CLossRegression attribute)
suitable_for() (secml.ml.classifiers.loss.c_loss.CLoss property)
sum() (secml.array.c_array.CArray method)
surrogate_classifier() (secml.adv.attacks.c_attack.CAttack property)
surrogate_data() (secml.adv.attacks.c_attack.CAttack property)
sv() (secml.ml.classifiers.sklearn.c_classifier_svm.CClassifierSVM property)
sv_idx() (secml.ml.classifiers.sklearn.c_classifier_svm.CClassifierSVM property)
sv_margin() (secml.ml.classifiers.sklearn.c_classifier_svm.CClassifierSVM method)
sv_margin_idx() (secml.ml.classifiers.sklearn.c_classifier_svm.CClassifierSVM method)
sv_margin_y() (secml.ml.classifiers.sklearn.c_classifier_svm.CClassifierSVM method)
T
t (secml.array.c_array.CArray attribute)
T() (secml.array.c_array.CArray property)
text() (secml.figure._plots.c_plot.CPlot method)
th() (secml.ml.peval.metrics.c_roc.CBaseRoc property)
(secml.ml.peval.metrics.c_roc.CRoc property)
threshold() (secml.ml.classifiers.reject.c_classifier_reject_threshold.CClassifierRejectThreshold property)
tick_params() (secml.figure._plots.c_plot.CPlot method)
tight_layout() (secml.figure.c_figure.CFigure method)
time() (secml.adv.seceval.c_sec_eval_data.CSecEvalData property)
timed() (secml.core.c_creator.CCreator static method)
(secml.utils.c_log.CLog method)
(secml.utils.c_log.CTimer static method)
timer() (secml.testing.c_unittest.CUnitTest method)
(secml.utils.c_log.CLog method)
title() (secml.figure._plots.c_plot.CPlot method)
(secml.figure.c_figure.CFigure method)
to_builtin() (in module secml.core.type_utils)
tocsr() (secml.array.c_array.CArray method)
todense() (secml.array.c_array.CArray method)
(secml.data.c_dataset.CDataset method)
tolist() (secml.array.c_array.CArray method)
tondarray() (secml.array.c_array.CArray method)
tosparse() (secml.array.c_array.CArray method)
(secml.data.c_dataset.CDataset method)
toy (secml.data.loader.c_dataloader_sklearn.CDLBoston attribute)
(secml.data.loader.c_dataloader_sklearn.CDLDiabetes attribute)
(secml.data.loader.c_dataloader_sklearn.CDLDigits attribute)
(secml.data.loader.c_dataloader_sklearn.CDLIris attribute)
tpr() (secml.ml.peval.metrics.c_roc.CBaseRoc property)
(secml.ml.peval.metrics.c_roc.CRoc property)
tr_classes() (secml.data.splitter.c_datasplitter_openworld.CDataSplitterOpenWorldKFold property)
tr_ds() (secml.explanation.c_explainer_influence_functions.CExplainerInfluenceFunctions property)
tr_idx() (secml.data.splitter.c_chronological_splitter.CChronologicalSplitter property)
(secml.data.splitter.c_datasplitter.CDataSplitter property)
(secml.data.splitter.c_train_test_split.CTrainTestSplit property)
training_data() (secml.adv.attacks.poisoning.c_attack_poisoning.CAttackPoisoning property)
transform() (secml.ml.features.c_preprocess.CPreProcess method)
(secml.ml.features.normalization.c_normalizer_dnn.CNormalizerDNN method)
(secml.ml.features.normalization.c_normalizer_mean_std.CNormalizerMeanStd method)
transpose() (secml.array.c_array.CArray method)
ts_idx() (secml.data.splitter.c_chronological_splitter.CChronologicalSplitter property)
(secml.data.splitter.c_datasplitter.CDataSplitter property)
(secml.data.splitter.c_train_test_split.CTrainTestSplit property)
tuple_atomic_tolist() (in module secml.array.array_utils)
tuple_sequence_tondarray() (in module secml.array.array_utils)
TypeUtils (module)
U
ub() (secml.adv.attacks.c_attack.CAttack property)
(secml.optim.constraints.c_constraint_box.CConstraintBox property)
unique() (secml.array.c_array.CArray method)
UnitTest (module)
update() (secml.utils.mixed_utils.AverageMeter method)
V
val() (secml.adv.attacks.poisoning.c_attack_poisoning.CAttackPoisoning property)
verbose() (secml.core.c_creator.CCreator property)
(secml.ml.classifiers.multiclass.c_classifier_multi.CClassifierMulticlass property)
W
w() (secml.ml.classifiers.c_classifier_linear.CClassifierLinear property)
(secml.ml.features.normalization.c_normalizer_linear.CNormalizerLinear property)
(secml.ml.features.normalization.c_normalizer_mean_std.CNormalizerMeanStd property)
(secml.ml.features.normalization.c_normalizer_minmax.CNormalizerMinMax property)
warning() (secml.utils.c_log.CLog method)
with_std() (secml.ml.features.normalization.c_normalizer_mean_std.CNormalizerMeanStd property)
X
X() (secml.data.c_dataset.CDataset property)
(secml.data.c_dataset_pytorch.CDatasetPyTorch property)
x_opt() (secml.adv.attacks.c_attack.CAttack property)
(secml.optim.optimizers.c_optimizer.COptimizer property)
x_seq() (secml.adv.attacks.c_attack.CAttack property)
(secml.optim.optimizers.c_optimizer.COptimizer property)
xlabel() (secml.figure._plots.c_plot.CPlot method)
xlim() (secml.figure._plots.c_plot.CPlot method)
xscale() (secml.figure._plots.c_plot.CPlot method)
xticklabels() (secml.figure._plots.c_plot.CPlot method)
xticks() (secml.figure._plots.c_plot.CPlot method)
Y
Y() (secml.adv.seceval.c_sec_eval_data.CSecEvalData property)
(secml.data.c_dataset.CDataset property)
(secml.data.c_dataset_pytorch.CDatasetPyTorch property)
Y_pred() (secml.adv.seceval.c_sec_eval_data.CSecEvalData property)
y_target() (secml.adv.attacks.c_attack.CAttack property)
(secml.adv.attacks.evasion.c_attack_evasion_pgd_ls.CAttackEvasionPGDLS property)
Y_target() (secml.adv.seceval.c_sec_eval_data.CSecEvalData property)
ylabel() (secml.figure._plots.c_plot.CPlot method)
ylim() (secml.figure._plots.c_plot.CPlot method)
yscale() (secml.figure._plots.c_plot.CPlot method)
yticklabels() (secml.figure._plots.c_plot.CPlot method)
yticks() (secml.figure._plots.c_plot.CPlot method)
Z
zeros() (secml.array.c_array.CArray class method)
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