├── .github └── workflows │ └── Build.yml ├── .gitignore ├── .readthedocs.yml ├── CONTRIBUTING.md ├── Dockerfile ├── LICENSE ├── MAINTAINERS.md ├── Not_using_travis.yml ├── README.md ├── aix360 ├── __init__.py ├── algorithms │ ├── README.md │ ├── __init__.py │ ├── cofrnet │ │ ├── CoFrNet.py │ │ ├── CustomizedLinearClasses.py │ │ ├── __init__.py │ │ └── utils.py │ ├── contrastive │ │ ├── CEM.py │ │ ├── CEM_MAF.py │ │ ├── CEM_MAF_aen_PN.py │ │ ├── CEM_MAF_aen_PP.py │ │ ├── CEM_MAF_utils.py │ │ ├── CEM_aen.py │ │ ├── __init__.py │ │ ├── classifiers.py │ │ └── dwnld_CEM_MAF_celebA.py │ ├── die.py │ ├── dipvae │ │ ├── __init__.py │ │ ├── dipvae.py │ │ └── dipvae_utils.py │ ├── dise.py │ ├── ecertify │ │ ├── ExpCertifyBB.py │ │ ├── __init__.py │ │ ├── ecertify.py │ │ └── utils.py │ ├── gbbe.py │ ├── gce │ │ ├── __init__.py │ │ └── gce.py │ ├── glance │ │ ├── __init__.py │ │ ├── base.py │ │ ├── clustering │ │ │ ├── __init__.py │ │ │ └── kmeans.py │ │ ├── counterfactual_costs.py │ │ ├── counterfactual_tree │ │ │ ├── __init__.py │ │ │ ├── counterfactual_tree.py │ │ │ └── node.py │ │ ├── iterative_merges │ │ │ ├── __init__.py │ │ │ ├── iterative_merges.py │ │ │ └── phase2.py │ │ ├── local_cfs │ │ │ ├── __init__.py │ │ │ ├── dice_method.py │ │ │ ├── nearest_neighbor.py │ │ │ └── random_sampling.py │ │ └── utils │ │ │ ├── __init__.py │ │ │ ├── action.py │ │ │ ├── centroid.py │ │ │ └── metadata_requests.py │ ├── gwbe.py │ ├── imd │ │ ├── __init__.py │ │ ├── imd.py │ │ ├── jst.py │ │ ├── rule.py │ │ └── utils.py │ ├── lbbe.py │ ├── lime │ │ ├── __init__.py │ │ └── lime_wrapper.py │ ├── lwbe.py │ ├── matching │ │ ├── __init__.py │ │ └── order_constraints.py │ ├── methods-choice-updated.png │ ├── nncontrastive │ │ ├── __init__.py │ │ ├── embedding.py │ │ ├── nncontrastive.py │ │ └── utils.py │ ├── profwt │ │ ├── __init__.py │ │ ├── attach_probe_checkpoint.py │ │ ├── license │ │ ├── profwt.py │ │ ├── readme_profweight.txt │ │ ├── resnet_keras_model.py │ │ ├── sample_weight_from_probes.py │ │ └── train_probes.py │ ├── protodash │ │ ├── PDASH.py │ │ ├── PDASH_utils.py │ │ └── __init__.py │ ├── rbm │ │ ├── BRCG.py │ │ ├── GLRM.py │ │ ├── __init__.py │ │ ├── beam_search.py │ │ ├── boolean_rule_cg.py │ │ ├── features.py │ │ ├── linear_regression.py │ │ └── logistic_regression.py │ ├── rule_induction │ │ ├── __init__.py │ │ ├── rbm │ │ │ ├── __init__.py │ │ │ ├── boolean_rule_cg.py │ │ │ └── utils.py │ │ ├── ripper │ │ │ ├── __init__.py │ │ │ ├── base.py │ │ │ ├── binding.py │ │ │ ├── mdl.py │ │ │ ├── pruning.py │ │ │ ├── ripper.py │ │ │ └── ripper_ruleset_generator.py │ │ └── trxf │ │ │ ├── __init__.py │ │ │ ├── classifier │ │ │ ├── __init__.py │ │ │ └── ruleset_classifier.py │ │ │ ├── core │ │ │ ├── __init__.py │ │ │ ├── boolean_evaluator.py │ │ │ ├── conjunction.py │ │ │ ├── dnf_ruleset.py │ │ │ ├── feature.py │ │ │ ├── predicate.py │ │ │ ├── ruleset_generator.py │ │ │ └── utils.py │ │ │ ├── metrics.py │ │ │ ├── pmml_export │ │ │ ├── __init__.py │ │ │ ├── __version__.py │ │ │ ├── models │ │ │ │ ├── __init__.py │ │ │ │ ├── attribute.py │ │ │ │ ├── characteristics.py │ │ │ │ ├── data_dictionary.py │ │ │ │ ├── mining_schema.py │ │ │ │ ├── pmml_ruleset_model.py │ │ │ │ ├── predicate.py │ │ │ │ ├── rule.py │ │ │ │ ├── ruleset.py │ │ │ │ ├── ruleset_model.py │ │ │ │ └── scorecard.py │ │ │ ├── pmml_exporter.py │ │ │ ├── reader │ │ │ │ ├── __init__.py │ │ │ │ ├── abstract_reader.py │ │ │ │ └── trxf_reader.py │ │ │ └── serializer │ │ │ │ ├── __init__.py │ │ │ │ ├── abstract_serializer.py │ │ │ │ └── nyoka_serializer.py │ │ │ └── scorecard │ │ │ ├── __init__.py │ │ │ ├── bins.py │ │ │ ├── partition.py │ │ │ └── scorecard.py │ ├── shap │ │ ├── __init__.py │ │ └── shap_wrapper.py │ ├── ted │ │ ├── TED_Cartesian.py │ │ ├── TED_utils.py │ │ └── __init__.py │ ├── tsice │ │ ├── __init__.py │ │ └── tsice.py │ ├── tslbbe.py │ ├── tslime │ │ ├── __init__.py │ │ ├── surrogate.py │ │ └── tslime.py │ ├── tssaliency │ │ ├── __init__.py │ │ ├── gradient.py │ │ └── tssaliency.py │ └── tsutils │ │ ├── __init__.py │ │ ├── model_wrappers.py │ │ ├── tsfeatures │ │ ├── __init__.py │ │ ├── latest_features.py │ │ ├── range_features.py │ │ └── tsfeatures.py │ │ ├── tsframe.py │ │ └── tsperturbers │ │ ├── __init__.py │ │ ├── block_bootstrap_perturber.py │ │ ├── frequency_perturber.py │ │ ├── moving_average_perturber.py │ │ ├── perturbed_data_generator.py │ │ ├── perturber_utils.py │ │ ├── ts_impute_perturber.py │ │ ├── ts_shift_perturber.py │ │ └── tsperturber.py ├── data │ ├── CEM_MAF │ │ └── __init__.py │ ├── README.md │ ├── __init__.py │ ├── adult_data │ │ └── __init__.py │ ├── celeba_data │ │ └── __init__.py │ ├── cifar_data │ │ └── __init__.py │ ├── climate_data │ │ └── __init__.py │ ├── compas_data │ │ └── __init__.py │ ├── diabetes_data │ │ └── __init__.py │ ├── esnli_data │ │ └── __init__.py │ ├── fmnist_data │ │ ├── FashionMNIST │ │ │ ├── processed │ │ │ │ └── __init__.py │ │ │ └── raw │ │ │ │ └── __init__.py │ │ └── __init__.py │ ├── ford_data │ │ └── __init__.py │ ├── heloc_data │ │ └── __init__.py │ ├── meps_data │ │ ├── README.md │ │ └── generate_data.R │ ├── mnist_data │ │ └── __init__.py │ ├── sunspots_data │ │ └── __init__.py │ └── ted_data │ │ ├── GenerateData.py │ │ └── Retention.csv ├── datasets │ ├── __init__.py │ ├── adult_dataset.py │ ├── cdc_dataset.py │ ├── celeba_dataset.py │ ├── cifar_dataset.py │ ├── climate_dataset.py │ ├── compas_dataset.py │ ├── diabetes_dataset.py │ ├── esnli_dataset.py │ ├── fashion_mnist_dataset.py │ ├── ford_dataset.py │ ├── heloc_dataset.py │ ├── meps_dataset.py │ ├── mnist_dataset.py │ ├── sunspots_dataset.py │ └── ted_dataset.py ├── metrics │ ├── __init__.py │ └── local_metrics.py └── models │ ├── CEM │ ├── mnist │ ├── mnist.json │ ├── mnist_AE_1_decoder.h5 │ └── mnist_AE_1_decoder.json │ ├── CEM_MAF │ ├── __init__.py │ └── attr_model │ │ └── __init__.py │ ├── DIPVAE │ ├── resultsmodel=user-defined_lambda_diag_factor=0e+00_lambda_offdiag=0e+00_beta=1e-03 │ │ ├── net.p │ │ ├── recons_epoch_end_batch_id_end.png │ │ └── traversal_epoch_end_batch_id_end.png │ └── resultsmodel=user-defined_lambda_diag_factor=1e+01_lambda_offdiag=1e-03_beta=1e-03 │ │ ├── net.p │ │ ├── recons_epoch_end_batch_id_end.png │ │ └── traversal_epoch_end_batch_id_end.png │ ├── __init__.py │ ├── profwt │ ├── checkpoint_probes │ │ ├── checkpoint │ │ ├── probe_model_run1.data-00000-of-00001 │ │ ├── probe_model_run1.index │ │ └── probe_model_run1.meta │ ├── checkpoints │ │ ├── checkpoint │ │ ├── train_resnetmodel_new1_799.ckpt.data-00000-of-00001 │ │ ├── train_resnetmodel_new1_799.ckpt.index │ │ ├── train_resnetmodel_new1_799.ckpt.meta │ │ ├── train_resnetmodel_new_799.ckpt.data-00000-of-00001 │ │ ├── train_resnetmodel_new_799.ckpt.index │ │ └── train_resnetmodel_new_799.ckpt.meta │ └── probe_output │ │ ├── probe_2_out_pred0.npy │ │ ├── probe_2_out_pred1.npy │ │ ├── probe_2_out_pred10.npy │ │ ├── probe_2_out_pred11.npy │ │ ├── probe_2_out_pred12.npy │ │ ├── probe_2_out_pred13.npy │ │ ├── probe_2_out_pred14.npy │ │ ├── probe_2_out_pred15.npy │ │ ├── probe_2_out_pred16.npy │ │ ├── probe_2_out_pred2.npy │ │ ├── probe_2_out_pred3.npy │ │ ├── probe_2_out_pred4.npy │ │ ├── probe_2_out_pred5.npy │ │ ├── probe_2_out_pred6.npy │ │ ├── probe_2_out_pred7.npy │ │ ├── probe_2_out_pred8.npy │ │ └── probe_2_out_pred9.npy │ └── protodash │ ├── sms-lstm-forprotodash.h5.gz │ └── sms-lstm-forprotodash.json ├── docs ├── Makefile ├── README.md ├── algorithms.rst ├── conf.py ├── datasets.rst ├── die.rst ├── dise.rst ├── gwbe.rst ├── index.rst ├── lbbe.rst ├── lwbe.rst ├── make.bat ├── metrics.rst ├── requirements.txt └── tslbbe.rst ├── examples ├── README.md ├── cofrnet │ └── cofrnet_example.ipynb ├── contrastive │ ├── CEM-MAF-CelebA.ipynb │ └── CEM-MNIST.ipynb ├── dipvae │ └── DIPVAE-FMNIST.ipynb ├── ecertify │ ├── certification_example_fico.ipynb │ └── data │ │ └── heloc-clean-full.csv ├── gce │ ├── gce_demo.ipynb │ └── plots.py ├── glance │ └── Adult.ipynb ├── imd │ ├── abcd.jpg │ ├── bias-mitigation-ad.ipynb │ ├── imd_example.ipynb │ ├── joint.jpg │ └── separate.jpg ├── lime │ └── LIME.ipynb ├── matching │ ├── data │ │ └── __init__.py │ ├── matching-pairs-of-sentences.ipynb │ ├── models │ │ ├── __init__.py │ │ └── glove.py │ └── utils │ │ └── plot.py ├── metrics │ └── metrics test.ipynb ├── nncontrastive │ └── nncontrastive_demo.ipynb ├── profwt │ └── Prof-Weight.ipynb ├── protodash │ ├── Protodash Text example SPAM HAM.ipynb │ └── Protodash-CDC.ipynb ├── rbm │ ├── boston-linear.ipynb │ ├── breast-cancer-br.ipynb │ ├── breast-cancer-logistic.ipynb │ ├── data │ │ └── crime.pkl │ ├── feature_binarizer_from_trees.ipynb │ └── feature_binarizer_from_trees_demo.py ├── rule_induction │ ├── brcg_demo.ipynb │ └── ripper_demo.ipynb ├── shap │ └── SHAP.ipynb ├── tsice │ ├── plots.py │ └── tsice_demo.ipynb ├── tslime │ ├── tslime_multivariate_demo.ipynb │ └── tslime_univariate_demo.ipynb ├── tssaliency │ ├── tssaliency_multivariate_demo.ipynb │ └── tssaliency_univariate_demo.ipynb └── tutorials │ ├── CDC.ipynb │ ├── HELOC.ipynb │ ├── MEPS.ipynb │ ├── dermoscopy.ipynb │ ├── heloc_nnsmall.h5 │ ├── retention.ipynb │ └── train_tutorial_dermatology_models.py ├── setup.py ├── supplementary license ├── LICENSE-BSD.txt ├── LICENSE-MIT.txt └── README.md └── tests ├── __init__.py ├── cofrnet ├── __init__.py └── cofrnet_test.py ├── contrastive ├── __init__.py ├── test_CEM.py └── test_CEM_MAF.py ├── dipvae ├── __init__.py └── test_DIPVAE.py ├── ecertify ├── __init__.py └── test_ecertify.py ├── gce ├── __init__.py └── test_gce.py ├── glance ├── test_KMeans.py ├── test_base.py ├── test_counterfactual_costs.py ├── test_counterfactual_tree.py ├── test_iterative_merges.py ├── test_local_cfs.py ├── test_node.py ├── test_phase2.py └── test_utils.py ├── imd ├── __init__.py └── test_imd.py ├── lime ├── __init__.py └── test_lime.py ├── matching ├── __init__.py ├── data │ └── test_case_1.json └── test_order_constraints.py ├── nncontrastive ├── __init__.py └── test_nncontrastive.py ├── profwt ├── __init__.py └── test_ProfWt.py ├── protodash ├── __init__.py └── test_PDASH.py ├── rbm ├── __init__.py ├── linear_plot_data.json ├── logistic_plot_data.json ├── test_Boolean_Rule_CG.py ├── test_Feature_Binarizer_From_Trees.py ├── test_Linear_Rule_Regression.py └── test_Logistic_Rule_Regression.py ├── rule_induction ├── __init__.py ├── rbm │ └── test_brcg.py ├── ripper │ ├── __init__.py │ ├── test_base.py │ ├── test_binding.py │ ├── test_ripper.py │ └── test_ripper_ruleset_generator.py ├── test_rule_induction.sh └── trxf │ ├── __init__.py │ ├── classifier │ ├── __init__.py │ └── test_ruleset_classifier.py │ ├── core │ ├── __init__.py │ ├── test_conjunction.py │ ├── test_dnfruleset.py │ ├── test_feature.py │ ├── test_predicate.py │ └── test_utils.py │ ├── pmml_export │ ├── __init__.py │ ├── resources │ │ ├── adult.pmml │ │ ├── adult_py36.pmml │ │ ├── churn.pmml │ │ ├── iris.pmml │ │ ├── miniloan.pmml │ │ ├── toto.pmml │ │ └── wifi.pmml │ ├── test_nyoka_serialize_common.py │ ├── test_nyoka_serialize_integration.py │ ├── test_nyoka_serialize_ruleset.py │ ├── test_nyoka_serialize_scorecard.py │ ├── test_pmml_exporter.py │ └── test_trxf_reader.py │ ├── scorecard │ ├── __init__.py │ ├── test_bins.py │ ├── test_partition.py │ └── test_scorecard.py │ ├── test_metrics.py │ └── utilities.py ├── shap ├── __init__.py └── test_shap.py ├── ted ├── __init__.py └── test_TED_Cartesian.py ├── tsice ├── __init__.py └── test_tsice.py ├── tslime ├── __init__.py └── test_tslime.py └── tssaliency ├── __init__.py └── test_tssaliency.py /.github/workflows/Build.yml: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Trusted-AI/AIX360/HEAD/.github/workflows/Build.yml -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 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