Mercurial > repos > bgruening > sklearn_svm_classifier

changeset 5:1c5989b930e3 draft

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planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2a058459e6daf0486871f93845f00fdb4a4eaca1
author bgruening
date Sat, 29 Sep 2018 07:26:04 -0400
parents 41d0edb7d1fc
children 90f2d6532262
files main_macros.xml sk_whitelist.json sk_whitelist.py svm.xml test-data/gbc_model01 test-data/gbr_model01 test-data/glm_model01 test-data/glm_model02 test-data/glm_model03 test-data/glm_model04 test-data/glm_model05 test-data/glm_model06 test-data/glm_model07 test-data/glm_model08 test-data/lda_model01 test-data/lda_model02 test-data/nn_model01 test-data/nn_model01.txt test-data/nn_model02 test-data/nn_model02.txt test-data/nn_model03 test-data/nn_model03.txt test-data/pickle_blacklist test-data/pipeline01 test-data/pipeline02 test-data/pipeline03 test-data/pipeline04 test-data/pipeline05 test-data/pipeline06 test-data/pipeline07 test-data/pipeline08 test-data/pipeline09 test-data/pipeline10 test-data/qda_model01 test-data/qda_prediction_result01.tabular test-data/rfc_model01 test-data/rfr_model01 test-data/searchCV01 test-data/searchCV02 test-data/svc_model01 test-data/svc_model01.txt test-data/svc_model02 test-data/svc_model02.txt test-data/svc_model03 test-data/svc_model03.txt test-data/svc_prediction_result03.tabular utils.py
diffstat 47 files changed, 819 insertions(+), 1237 deletions(-) [+]
line wrap: on
line diff
--- a/main_macros.xml	Thu Aug 23 16:14:13 2018 -0400
+++ b/main_macros.xml	Sat Sep 29 07:26:04 2018 -0400
@@ -3,7 +3,7 @@
 
   <xml name="python_requirements">
       <requirements>
-          <requirement type="package" version="2.7">python</requirement>
+          <requirement type="package" version="3.6">python</requirement>
           <requirement type="package" version="0.19.1">scikit-learn</requirement>
           <requirement type="package" version="0.22.0">pandas</requirement>
           <requirement type="package" version="0.72.1">xgboost</requirement>
@@ -1408,7 +1408,7 @@
       <data format="tabular" name="outfile_predict">
           <filter>selected_tasks['selected_task'] == 'load'</filter>
       </data>
-      <data format="zip" name="outfile_fit">
+      <data format="zip" name="outfile_fit" label="${tool.name}.${selected_tasks.selected_algorithms.selected_algorithm}">
           <filter>selected_tasks['selected_task'] == 'train'</filter>
       </data>
     </outputs>
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/sk_whitelist.json	Sat Sep 29 07:26:04 2018 -0400
@@ -0,0 +1,753 @@
+{ "SK_NAMES": [
+    "sklearn._ASSUME_FINITE", "sklearn._isotonic._inplace_contiguous_isotonic_regression",
+    "sklearn._isotonic._make_unique", "sklearn.base.BaseEstimator",
+    "sklearn.base.BiclusterMixin", "sklearn.base.ClassifierMixin",
+    "sklearn.base.ClusterMixin", "sklearn.base.DensityMixin",
+    "sklearn.base.MetaEstimatorMixin", "sklearn.base.RegressorMixin",
+    "sklearn.base.TransformerMixin", "sklearn.base._first_and_last_element",
+    "sklearn.base._pprint", "sklearn.base.clone",
+    "sklearn.base.is_classifier", "sklearn.base.is_regressor",
+    "sklearn.clone", "sklearn.cluster.AffinityPropagation",
+    "sklearn.cluster.AgglomerativeClustering", "sklearn.cluster.Birch",
+    "sklearn.cluster.DBSCAN", "sklearn.cluster.FeatureAgglomeration",
+    "sklearn.cluster.KMeans", "sklearn.cluster.MeanShift",
+    "sklearn.cluster.MiniBatchKMeans", "sklearn.cluster.SpectralBiclustering",
+    "sklearn.cluster.SpectralClustering", "sklearn.cluster.SpectralCoclustering",
+    "sklearn.cluster._dbscan_inner.dbscan_inner", "sklearn.cluster._feature_agglomeration.AgglomerationTransform",
+    "sklearn.cluster._hierarchical.WeightedEdge", "sklearn.cluster._hierarchical._get_parents",
+    "sklearn.cluster._hierarchical._hc_get_descendent", "sklearn.cluster._hierarchical.average_merge",
+    "sklearn.cluster._hierarchical.compute_ward_dist", "sklearn.cluster._hierarchical.hc_get_heads",
+    "sklearn.cluster._hierarchical.max_merge", "sklearn.cluster._k_means._assign_labels_array",
+    "sklearn.cluster._k_means._assign_labels_csr", "sklearn.cluster._k_means._centers_dense",
+    "sklearn.cluster._k_means._centers_sparse", "sklearn.cluster._k_means._mini_batch_update_csr",
+    "sklearn.cluster._k_means_elkan.k_means_elkan", "sklearn.cluster.affinity_propagation",
+    "sklearn.cluster.affinity_propagation_.AffinityPropagation", "sklearn.cluster.affinity_propagation_.affinity_propagation",
+    "sklearn.cluster.bicluster.BaseSpectral", "sklearn.cluster.bicluster.SpectralBiclustering",
+    "sklearn.cluster.bicluster.SpectralCoclustering", "sklearn.cluster.bicluster._bistochastic_normalize",
+    "sklearn.cluster.bicluster._log_normalize", "sklearn.cluster.bicluster._scale_normalize",
+    "sklearn.cluster.birch.Birch", "sklearn.cluster.birch._CFNode",
+    "sklearn.cluster.birch._CFSubcluster", "sklearn.cluster.birch._iterate_sparse_X",
+    "sklearn.cluster.birch._split_node", "sklearn.cluster.dbscan",
+    "sklearn.cluster.dbscan_.DBSCAN", "sklearn.cluster.dbscan_.dbscan",
+    "sklearn.cluster.estimate_bandwidth", "sklearn.cluster.get_bin_seeds",
+    "sklearn.cluster.hierarchical.AgglomerativeClustering", "sklearn.cluster.hierarchical.FeatureAgglomeration",
+    "sklearn.cluster.hierarchical._TREE_BUILDERS", "sklearn.cluster.hierarchical._average_linkage",
+    "sklearn.cluster.hierarchical._complete_linkage", "sklearn.cluster.hierarchical._fix_connectivity",
+    "sklearn.cluster.hierarchical._hc_cut", "sklearn.cluster.hierarchical.linkage_tree",
+    "sklearn.cluster.hierarchical.ward_tree", "sklearn.cluster.k_means",
+    "sklearn.cluster.k_means_.FLOAT_DTYPES", "sklearn.cluster.k_means_.KMeans",
+    "sklearn.cluster.k_means_.MiniBatchKMeans", "sklearn.cluster.k_means_._init_centroids",
+    "sklearn.cluster.k_means_._k_init", "sklearn.cluster.k_means_._kmeans_single_elkan",
+    "sklearn.cluster.k_means_._kmeans_single_lloyd", "sklearn.cluster.k_means_._labels_inertia",
+    "sklearn.cluster.k_means_._labels_inertia_precompute_dense", "sklearn.cluster.k_means_._mini_batch_convergence",
+    "sklearn.cluster.k_means_._mini_batch_step", "sklearn.cluster.k_means_._tolerance",
+    "sklearn.cluster.k_means_._validate_center_shape", "sklearn.cluster.k_means_.k_means",
+    "sklearn.cluster.k_means_.string_types", "sklearn.cluster.linkage_tree",
+    "sklearn.cluster.mean_shift", "sklearn.cluster.mean_shift_.MeanShift",
+    "sklearn.cluster.mean_shift_._mean_shift_single_seed", "sklearn.cluster.mean_shift_.estimate_bandwidth",
+    "sklearn.cluster.mean_shift_.get_bin_seeds", "sklearn.cluster.mean_shift_.mean_shift",
+    "sklearn.cluster.spectral.SpectralClustering", "sklearn.cluster.spectral.discretize",
+    "sklearn.cluster.spectral.spectral_clustering", "sklearn.cluster.spectral_clustering",
+    "sklearn.cluster.ward_tree", "sklearn.config_context",
+    "sklearn.covariance.EllipticEnvelope", "sklearn.covariance.EmpiricalCovariance",
+    "sklearn.covariance.GraphLasso", "sklearn.covariance.GraphLassoCV",
+    "sklearn.covariance.LedoitWolf", "sklearn.covariance.MinCovDet",
+    "sklearn.covariance.OAS", "sklearn.covariance.ShrunkCovariance",
+    "sklearn.covariance.empirical_covariance", "sklearn.covariance.empirical_covariance_.EmpiricalCovariance",
+    "sklearn.covariance.empirical_covariance_.empirical_covariance", "sklearn.covariance.empirical_covariance_.log_likelihood",
+    "sklearn.covariance.fast_mcd", "sklearn.covariance.graph_lasso",
+    "sklearn.covariance.graph_lasso_.GraphLasso", "sklearn.covariance.graph_lasso_.GraphLassoCV",
+    "sklearn.covariance.graph_lasso_._dual_gap", "sklearn.covariance.graph_lasso_._objective",
+    "sklearn.covariance.graph_lasso_.alpha_max", "sklearn.covariance.graph_lasso_.graph_lasso",
+    "sklearn.covariance.graph_lasso_.graph_lasso_path", "sklearn.covariance.ledoit_wolf",
+    "sklearn.covariance.ledoit_wolf_shrinkage", "sklearn.covariance.log_likelihood",
+    "sklearn.covariance.oas", "sklearn.covariance.outlier_detection.EllipticEnvelope",
+    "sklearn.covariance.robust_covariance.MinCovDet", "sklearn.covariance.robust_covariance._c_step",
+    "sklearn.covariance.robust_covariance.c_step", "sklearn.covariance.robust_covariance.fast_mcd",
+    "sklearn.covariance.robust_covariance.select_candidates", "sklearn.covariance.shrunk_covariance",
+    "sklearn.covariance.shrunk_covariance_.LedoitWolf", "sklearn.covariance.shrunk_covariance_.OAS",
+    "sklearn.covariance.shrunk_covariance_.ShrunkCovariance", "sklearn.covariance.shrunk_covariance_.ledoit_wolf",
+    "sklearn.covariance.shrunk_covariance_.ledoit_wolf_shrinkage", "sklearn.covariance.shrunk_covariance_.oas",
+    "sklearn.covariance.shrunk_covariance_.shrunk_covariance", "sklearn.decomposition.DictionaryLearning",
+    "sklearn.decomposition.FactorAnalysis", "sklearn.decomposition.FastICA",
+    "sklearn.decomposition.IncrementalPCA", "sklearn.decomposition.KernelPCA",
+    "sklearn.decomposition.LatentDirichletAllocation", "sklearn.decomposition.MiniBatchDictionaryLearning",
+    "sklearn.decomposition.MiniBatchSparsePCA", "sklearn.decomposition.NMF",
+    "sklearn.decomposition.PCA", "sklearn.decomposition.RandomizedPCA",
+    "sklearn.decomposition.SparseCoder", "sklearn.decomposition.SparsePCA",
+    "sklearn.decomposition.TruncatedSVD", "sklearn.decomposition._online_lda._dirichlet_expectation_1d",
+    "sklearn.decomposition._online_lda._dirichlet_expectation_2d", "sklearn.decomposition._online_lda.mean_change",
+    "sklearn.decomposition.base._BasePCA", "sklearn.decomposition.cdnmf_fast._update_cdnmf_fast",
+    "sklearn.decomposition.dict_learning", "sklearn.decomposition.dict_learning_online",
+    "sklearn.decomposition.factor_analysis.FactorAnalysis", "sklearn.decomposition.fastica",
+    "sklearn.decomposition.fastica_.FLOAT_DTYPES", "sklearn.decomposition.fastica_.FastICA",
+    "sklearn.decomposition.fastica_._cube", "sklearn.decomposition.fastica_._exp",
+    "sklearn.decomposition.fastica_._gs_decorrelation", "sklearn.decomposition.fastica_._ica_def",
+    "sklearn.decomposition.fastica_._ica_par", "sklearn.decomposition.fastica_._logcosh",
+    "sklearn.decomposition.fastica_._sym_decorrelation", "sklearn.decomposition.fastica_.fastica",
+    "sklearn.decomposition.fastica_.string_types", "sklearn.decomposition.incremental_pca.IncrementalPCA",
+    "sklearn.decomposition.kernel_pca.KernelPCA", "sklearn.decomposition.nmf.EPSILON",
+    "sklearn.decomposition.nmf.INTEGER_TYPES", "sklearn.decomposition.nmf.NMF",
+    "sklearn.decomposition.nmf._beta_divergence", "sklearn.decomposition.nmf._beta_loss_to_float",
+    "sklearn.decomposition.nmf._check_init", "sklearn.decomposition.nmf._check_string_param",
+    "sklearn.decomposition.nmf._compute_regularization", "sklearn.decomposition.nmf._fit_coordinate_descent",
+    "sklearn.decomposition.nmf._fit_multiplicative_update", "sklearn.decomposition.nmf._initialize_nmf",
+    "sklearn.decomposition.nmf._multiplicative_update_h", "sklearn.decomposition.nmf._multiplicative_update_w",
+    "sklearn.decomposition.nmf._special_sparse_dot", "sklearn.decomposition.nmf._update_coordinate_descent",
+    "sklearn.decomposition.nmf.non_negative_factorization", "sklearn.decomposition.nmf.norm",
+    "sklearn.decomposition.nmf.trace_dot", "sklearn.decomposition.non_negative_factorization",
+    "sklearn.decomposition.online_lda.EPS", "sklearn.decomposition.online_lda.LatentDirichletAllocation",
+    "sklearn.decomposition.online_lda._update_doc_distribution", "sklearn.decomposition.online_lda.gammaln",
+    "sklearn.decomposition.pca.PCA", "sklearn.decomposition.pca.RandomizedPCA",
+    "sklearn.decomposition.pca._assess_dimension_", "sklearn.decomposition.pca._infer_dimension_",
+    "sklearn.decomposition.pca.gammaln", "sklearn.decomposition.sparse_encode",
+    "sklearn.decomposition.sparse_pca.MiniBatchSparsePCA", "sklearn.decomposition.sparse_pca.SparsePCA",
+    "sklearn.decomposition.truncated_svd.TruncatedSVD", "sklearn.discriminant_analysis.LinearDiscriminantAnalysis",
+    "sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis", "sklearn.discriminant_analysis._class_cov",
+    "sklearn.discriminant_analysis._class_means", "sklearn.discriminant_analysis._cov",
+    "sklearn.discriminant_analysis.string_types", "sklearn.ensemble.AdaBoostClassifier",
+    "sklearn.ensemble.AdaBoostRegressor", "sklearn.ensemble.BaggingClassifier",
+    "sklearn.ensemble.BaggingRegressor", "sklearn.ensemble.BaseEnsemble",
+    "sklearn.ensemble.ExtraTreesClassifier", "sklearn.ensemble.ExtraTreesRegressor",
+    "sklearn.ensemble.GradientBoostingClassifier", "sklearn.ensemble.GradientBoostingRegressor",
+    "sklearn.ensemble.IsolationForest", "sklearn.ensemble.RandomForestClassifier",
+    "sklearn.ensemble.RandomForestRegressor", "sklearn.ensemble.RandomTreesEmbedding",
+    "sklearn.ensemble.VotingClassifier", "sklearn.ensemble._gradient_boosting._partial_dependence_tree",
+    "sklearn.ensemble._gradient_boosting._predict_regression_tree_stages_sparse", "sklearn.ensemble._gradient_boosting._random_sample_mask",
+    "sklearn.ensemble._gradient_boosting.predict_stage", "sklearn.ensemble._gradient_boosting.predict_stages",
+    "sklearn.ensemble.bagging.BaggingClassifier", "sklearn.ensemble.bagging.BaggingRegressor",
+    "sklearn.ensemble.bagging.BaseBagging", "sklearn.ensemble.bagging.MAX_INT",
+    "sklearn.ensemble.bagging._generate_bagging_indices", "sklearn.ensemble.bagging._generate_indices",
+    "sklearn.ensemble.bagging._parallel_build_estimators", "sklearn.ensemble.bagging._parallel_decision_function",
+    "sklearn.ensemble.bagging._parallel_predict_log_proba", "sklearn.ensemble.bagging._parallel_predict_proba",
+    "sklearn.ensemble.bagging._parallel_predict_regression", "sklearn.ensemble.base.BaseEnsemble",
+    "sklearn.ensemble.base.MAX_RAND_SEED", "sklearn.ensemble.base._partition_estimators",
+    "sklearn.ensemble.base._set_random_states", "sklearn.ensemble.forest.BaseForest",
+    "sklearn.ensemble.forest.ExtraTreesClassifier", "sklearn.ensemble.forest.ExtraTreesRegressor",
+    "sklearn.ensemble.forest.ForestClassifier", "sklearn.ensemble.forest.ForestRegressor",
+    "sklearn.ensemble.forest.MAX_INT", "sklearn.ensemble.forest.RandomForestClassifier",
+    "sklearn.ensemble.forest.RandomForestRegressor", "sklearn.ensemble.forest.RandomTreesEmbedding",
+    "sklearn.ensemble.forest._generate_sample_indices", "sklearn.ensemble.forest._generate_unsampled_indices",
+    "sklearn.ensemble.forest._parallel_build_trees", "sklearn.ensemble.forest.accumulate_prediction",
+    "sklearn.ensemble.gradient_boosting.BaseGradientBoosting", "sklearn.ensemble.gradient_boosting.BinomialDeviance",
+    "sklearn.ensemble.gradient_boosting.ClassificationLossFunction", "sklearn.ensemble.gradient_boosting.ExponentialLoss",
+    "sklearn.ensemble.gradient_boosting.GradientBoostingClassifier", "sklearn.ensemble.gradient_boosting.GradientBoostingRegressor",
+    "sklearn.ensemble.gradient_boosting.HuberLossFunction", "sklearn.ensemble.gradient_boosting.INIT_ESTIMATORS",
+    "sklearn.ensemble.gradient_boosting.LOSS_FUNCTIONS", "sklearn.ensemble.gradient_boosting.LeastAbsoluteError",
+    "sklearn.ensemble.gradient_boosting.LeastSquaresError", "sklearn.ensemble.gradient_boosting.LogOddsEstimator",
+    "sklearn.ensemble.gradient_boosting.LossFunction", "sklearn.ensemble.gradient_boosting.MeanEstimator",
+    "sklearn.ensemble.gradient_boosting.MultinomialDeviance", "sklearn.ensemble.gradient_boosting.PriorProbabilityEstimator",
+    "sklearn.ensemble.gradient_boosting.QuantileEstimator", "sklearn.ensemble.gradient_boosting.QuantileLossFunction",
+    "sklearn.ensemble.gradient_boosting.RegressionLossFunction", "sklearn.ensemble.gradient_boosting.ScaledLogOddsEstimator",
+    "sklearn.ensemble.gradient_boosting.TREE_LEAF", "sklearn.ensemble.gradient_boosting.VerboseReporter",
+    "sklearn.ensemble.gradient_boosting.ZeroEstimator", "sklearn.ensemble.gradient_boosting.expit",
+    "sklearn.ensemble.iforest.INTEGER_TYPES", "sklearn.ensemble.iforest.IsolationForest",
+    "sklearn.ensemble.iforest._average_path_length", "sklearn.ensemble.iforest.euler_gamma",
+    "sklearn.ensemble.partial_dependence._grid_from_X", "sklearn.ensemble.partial_dependence.partial_dependence",
+    "sklearn.ensemble.partial_dependence.plot_partial_dependence", "sklearn.ensemble.voting_classifier.VotingClassifier",
+    "sklearn.ensemble.voting_classifier._parallel_fit_estimator", "sklearn.ensemble.weight_boosting.AdaBoostClassifier",
+    "sklearn.ensemble.weight_boosting.AdaBoostRegressor", "sklearn.ensemble.weight_boosting.BaseWeightBoosting",
+    "sklearn.ensemble.weight_boosting._samme_proba", "sklearn.ensemble.weight_boosting.inner1d",
+    "sklearn.feature_extraction.DictVectorizer", "sklearn.feature_extraction.FeatureHasher",
+    "sklearn.feature_extraction._hashing.transform", "sklearn.feature_extraction.dict_vectorizer.DictVectorizer",
+    "sklearn.feature_extraction.dict_vectorizer._tosequence", "sklearn.feature_extraction.grid_to_graph",
+    "sklearn.feature_extraction.hashing.FeatureHasher", "sklearn.feature_extraction.hashing._iteritems",
+    "sklearn.feature_extraction.image.PatchExtractor", "sklearn.feature_extraction.image._compute_gradient_3d",
+    "sklearn.feature_extraction.image._compute_n_patches", "sklearn.feature_extraction.image._make_edges_3d",
+    "sklearn.feature_extraction.image._mask_edges_weights", "sklearn.feature_extraction.image._to_graph",
+    "sklearn.feature_extraction.image.extract_patches", "sklearn.feature_extraction.image.extract_patches_2d",
+    "sklearn.feature_extraction.image.grid_to_graph", "sklearn.feature_extraction.image.img_to_graph",
+    "sklearn.feature_extraction.image.reconstruct_from_patches_2d", "sklearn.feature_extraction.img_to_graph",
+    "sklearn.feature_extraction.stop_words.ENGLISH_STOP_WORDS", "sklearn.feature_extraction.text.CountVectorizer",
+    "sklearn.feature_extraction.text.ENGLISH_STOP_WORDS", "sklearn.feature_extraction.text.HashingVectorizer",
+    "sklearn.feature_extraction.text.TfidfTransformer", "sklearn.feature_extraction.text.TfidfVectorizer",
+    "sklearn.feature_extraction.text.VectorizerMixin", "sklearn.feature_extraction.text._check_stop_list",
+    "sklearn.feature_extraction.text._document_frequency", "sklearn.feature_extraction.text._make_int_array",
+    "sklearn.feature_extraction.text.strip_accents_ascii", "sklearn.feature_extraction.text.strip_accents_unicode",
+    "sklearn.feature_extraction.text.strip_tags", "sklearn.feature_selection.GenericUnivariateSelect",
+    "sklearn.feature_selection.RFE", "sklearn.feature_selection.RFECV",
+    "sklearn.feature_selection.SelectFdr", "sklearn.feature_selection.SelectFpr",
+    "sklearn.feature_selection.SelectFromModel", "sklearn.feature_selection.SelectFwe",
+    "sklearn.feature_selection.SelectKBest", "sklearn.feature_selection.SelectPercentile",
+    "sklearn.feature_selection.VarianceThreshold", "sklearn.feature_selection.base.SelectorMixin",
+    "sklearn.feature_selection.chi2", "sklearn.feature_selection.f_classif",
+    "sklearn.feature_selection.f_oneway", "sklearn.feature_selection.f_regression",
+    "sklearn.feature_selection.from_model.SelectFromModel", "sklearn.feature_selection.from_model._calculate_threshold",
+    "sklearn.feature_selection.from_model._get_feature_importances", "sklearn.feature_selection.mutual_info_._compute_mi",
+    "sklearn.feature_selection.mutual_info_._compute_mi_cc", "sklearn.feature_selection.mutual_info_._compute_mi_cd",
+    "sklearn.feature_selection.mutual_info_._estimate_mi", "sklearn.feature_selection.mutual_info_._iterate_columns",
+    "sklearn.feature_selection.mutual_info_.digamma", "sklearn.feature_selection.mutual_info_.mutual_info_classif",
+    "sklearn.feature_selection.mutual_info_.mutual_info_regression", "sklearn.feature_selection.mutual_info_classif",
+    "sklearn.feature_selection.mutual_info_regression", "sklearn.feature_selection.rfe.RFE",
+    "sklearn.feature_selection.rfe.RFECV", "sklearn.feature_selection.rfe._rfe_single_fit",
+    "sklearn.feature_selection.univariate_selection.GenericUnivariateSelect", "sklearn.feature_selection.univariate_selection.SelectFdr",
+    "sklearn.feature_selection.univariate_selection.SelectFpr", "sklearn.feature_selection.univariate_selection.SelectFwe",
+    "sklearn.feature_selection.univariate_selection.SelectKBest", "sklearn.feature_selection.univariate_selection.SelectPercentile",
+    "sklearn.feature_selection.univariate_selection._BaseFilter", "sklearn.feature_selection.univariate_selection._chisquare",
+    "sklearn.feature_selection.univariate_selection._clean_nans", "sklearn.feature_selection.univariate_selection.chi2",
+    "sklearn.feature_selection.univariate_selection.f_classif", "sklearn.feature_selection.univariate_selection.f_oneway",
+    "sklearn.feature_selection.univariate_selection.f_regression", "sklearn.feature_selection.variance_threshold.VarianceThreshold",
+    "sklearn.gaussian_process.GaussianProcess", "sklearn.gaussian_process.GaussianProcessClassifier",
+    "sklearn.gaussian_process.GaussianProcessRegressor", "sklearn.gaussian_process.correlation_models.absolute_exponential",
+    "sklearn.gaussian_process.correlation_models.cubic", "sklearn.gaussian_process.correlation_models.generalized_exponential",
+    "sklearn.gaussian_process.correlation_models.linear", "sklearn.gaussian_process.correlation_models.pure_nugget",
+    "sklearn.gaussian_process.correlation_models.squared_exponential", "sklearn.gaussian_process.gaussian_process.GaussianProcess",
+    "sklearn.gaussian_process.gaussian_process.MACHINE_EPSILON", "sklearn.gaussian_process.gaussian_process.l1_cross_distances",
+    "sklearn.gaussian_process.gpc.COEFS", "sklearn.gaussian_process.gpc.GaussianProcessClassifier",
+    "sklearn.gaussian_process.gpc.LAMBDAS", "sklearn.gaussian_process.gpc._BinaryGaussianProcessClassifierLaplace",
+    "sklearn.gaussian_process.gpc.erf", "sklearn.gaussian_process.gpc.expit",
+    "sklearn.gaussian_process.gpr.GaussianProcessRegressor", "sklearn.gaussian_process.kernels.CompoundKernel",
+    "sklearn.gaussian_process.kernels.ConstantKernel", "sklearn.gaussian_process.kernels.DotProduct",
+    "sklearn.gaussian_process.kernels.ExpSineSquared", "sklearn.gaussian_process.kernels.Exponentiation",
+    "sklearn.gaussian_process.kernels.Hyperparameter", "sklearn.gaussian_process.kernels.Kernel",
+    "sklearn.gaussian_process.kernels.KernelOperator", "sklearn.gaussian_process.kernels.Matern",
+    "sklearn.gaussian_process.kernels.NormalizedKernelMixin", "sklearn.gaussian_process.kernels.PairwiseKernel",
+    "sklearn.gaussian_process.kernels.Product", "sklearn.gaussian_process.kernels.RBF",
+    "sklearn.gaussian_process.kernels.RationalQuadratic", "sklearn.gaussian_process.kernels.StationaryKernelMixin",
+    "sklearn.gaussian_process.kernels.Sum", "sklearn.gaussian_process.kernels.WhiteKernel",
+    "sklearn.gaussian_process.kernels._approx_fprime", "sklearn.gaussian_process.kernels._check_length_scale",
+    "sklearn.gaussian_process.kernels.gamma", "sklearn.gaussian_process.kernels.kv",
+    "sklearn.gaussian_process.regression_models.constant", "sklearn.gaussian_process.regression_models.linear",
+    "sklearn.gaussian_process.regression_models.quadratic", "sklearn.get_config",
+    "sklearn.isotonic.IsotonicRegression", "sklearn.isotonic.check_increasing",
+    "sklearn.isotonic.isotonic_regression", "sklearn.kernel_approximation.AdditiveChi2Sampler",
+    "sklearn.kernel_approximation.KERNEL_PARAMS", "sklearn.kernel_approximation.Nystroem",
+    "sklearn.kernel_approximation.RBFSampler", "sklearn.kernel_approximation.SkewedChi2Sampler",
+    "sklearn.kernel_ridge.KernelRidge", "sklearn.linear_model.ARDRegression",
+    "sklearn.linear_model.BayesianRidge", "sklearn.linear_model.ElasticNet",
+    "sklearn.linear_model.ElasticNetCV", "sklearn.linear_model.Hinge",
+    "sklearn.linear_model.Huber", "sklearn.linear_model.HuberRegressor",
+    "sklearn.linear_model.Lars", "sklearn.linear_model.LarsCV",
+    "sklearn.linear_model.Lasso", "sklearn.linear_model.LassoCV",
+    "sklearn.linear_model.LassoLars", "sklearn.linear_model.LassoLarsCV",
+    "sklearn.linear_model.LassoLarsIC", "sklearn.linear_model.LinearRegression",
+    "sklearn.linear_model.Log", "sklearn.linear_model.LogisticRegression",
+    "sklearn.linear_model.LogisticRegressionCV", "sklearn.linear_model.ModifiedHuber",
+    "sklearn.linear_model.MultiTaskElasticNet", "sklearn.linear_model.MultiTaskElasticNetCV",
+    "sklearn.linear_model.MultiTaskLasso", "sklearn.linear_model.MultiTaskLassoCV",
+    "sklearn.linear_model.OrthogonalMatchingPursuit", "sklearn.linear_model.OrthogonalMatchingPursuitCV",
+    "sklearn.linear_model.PassiveAggressiveClassifier", "sklearn.linear_model.PassiveAggressiveRegressor",
+    "sklearn.linear_model.Perceptron", "sklearn.linear_model.RANSACRegressor",
+    "sklearn.linear_model.RandomizedLasso", "sklearn.linear_model.RandomizedLogisticRegression",
+    "sklearn.linear_model.Ridge", "sklearn.linear_model.RidgeCV",
+    "sklearn.linear_model.RidgeClassifier", "sklearn.linear_model.RidgeClassifierCV",
+    "sklearn.linear_model.SGDClassifier", "sklearn.linear_model.SGDRegressor",
+    "sklearn.linear_model.SquaredLoss", "sklearn.linear_model.TheilSenRegressor",
+    "sklearn.linear_model.base.FLOAT_DTYPES", "sklearn.linear_model.base.LinearClassifierMixin",
+    "sklearn.linear_model.base.LinearModel", "sklearn.linear_model.base.LinearRegression",
+    "sklearn.linear_model.base.SPARSE_INTERCEPT_DECAY", "sklearn.linear_model.base.SparseCoefMixin",
+    "sklearn.linear_model.base._pre_fit", "sklearn.linear_model.base._preprocess_data",
+    "sklearn.linear_model.base._rescale_data", "sklearn.linear_model.base.center_data",
+    "sklearn.linear_model.base.make_dataset", "sklearn.linear_model.base.sparse_center_data",
+    "sklearn.linear_model.bayes.ARDRegression", "sklearn.linear_model.bayes.BayesianRidge",
+    "sklearn.linear_model.cd_fast.enet_coordinate_descent", "sklearn.linear_model.cd_fast.enet_coordinate_descent_gram",
+    "sklearn.linear_model.cd_fast.enet_coordinate_descent_multi_task", "sklearn.linear_model.cd_fast.sparse_enet_coordinate_descent",
+    "sklearn.linear_model.coordinate_descent.ElasticNet", "sklearn.linear_model.coordinate_descent.ElasticNetCV",
+    "sklearn.linear_model.coordinate_descent.Lasso", "sklearn.linear_model.coordinate_descent.LassoCV",
+    "sklearn.linear_model.coordinate_descent.LinearModelCV", "sklearn.linear_model.coordinate_descent.MultiTaskElasticNet",
+    "sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV", "sklearn.linear_model.coordinate_descent.MultiTaskLasso",
+    "sklearn.linear_model.coordinate_descent.MultiTaskLassoCV", "sklearn.linear_model.coordinate_descent._alpha_grid",
+    "sklearn.linear_model.coordinate_descent._path_residuals", "sklearn.linear_model.coordinate_descent.enet_path",
+    "sklearn.linear_model.coordinate_descent.lasso_path", "sklearn.linear_model.enet_path",
+    "sklearn.linear_model.huber.HuberRegressor", "sklearn.linear_model.huber._huber_loss_and_gradient",
+    "sklearn.linear_model.lars_path", "sklearn.linear_model.lasso_path",
+    "sklearn.linear_model.lasso_stability_path", "sklearn.linear_model.least_angle.Lars",
+    "sklearn.linear_model.least_angle.LarsCV", "sklearn.linear_model.least_angle.LassoLars",
+    "sklearn.linear_model.least_angle.LassoLarsCV", "sklearn.linear_model.least_angle.LassoLarsIC",
+    "sklearn.linear_model.least_angle._check_copy_and_writeable", "sklearn.linear_model.least_angle._lars_path_residues",
+    "sklearn.linear_model.least_angle.lars_path", "sklearn.linear_model.least_angle.solve_triangular_args",
+    "sklearn.linear_model.least_angle.string_types", "sklearn.linear_model.logistic.LogisticRegression",
+    "sklearn.linear_model.logistic.LogisticRegressionCV", "sklearn.linear_model.logistic.SCORERS",
+    "sklearn.linear_model.logistic._check_solver_option", "sklearn.linear_model.logistic._intercept_dot",
+    "sklearn.linear_model.logistic._log_reg_scoring_path", "sklearn.linear_model.logistic._logistic_grad_hess",
+    "sklearn.linear_model.logistic._logistic_loss", "sklearn.linear_model.logistic._logistic_loss_and_grad",
+    "sklearn.linear_model.logistic._multinomial_grad_hess", "sklearn.linear_model.logistic._multinomial_loss",
+    "sklearn.linear_model.logistic._multinomial_loss_grad", "sklearn.linear_model.logistic.expit",
+    "sklearn.linear_model.logistic.logistic_regression_path", "sklearn.linear_model.logistic_regression_path",
+    "sklearn.linear_model.omp.OrthogonalMatchingPursuit", "sklearn.linear_model.omp.OrthogonalMatchingPursuitCV",
+    "sklearn.linear_model.omp._cholesky_omp", "sklearn.linear_model.omp._gram_omp",
+    "sklearn.linear_model.omp._omp_path_residues", "sklearn.linear_model.omp.orthogonal_mp",
+    "sklearn.linear_model.omp.orthogonal_mp_gram", "sklearn.linear_model.omp.premature",
+    "sklearn.linear_model.omp.solve_triangular_args", "sklearn.linear_model.orthogonal_mp",
+    "sklearn.linear_model.orthogonal_mp_gram", "sklearn.linear_model.passive_aggressive.DEFAULT_EPSILON",
+    "sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier", "sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor",
+    "sklearn.linear_model.perceptron.Perceptron", "sklearn.linear_model.randomized_l1.BaseRandomizedLinearModel",
+    "sklearn.linear_model.randomized_l1.RandomizedLasso", "sklearn.linear_model.randomized_l1.RandomizedLogisticRegression",
+    "sklearn.linear_model.randomized_l1._lasso_stability_path", "sklearn.linear_model.randomized_l1._randomized_lasso",
+    "sklearn.linear_model.randomized_l1._randomized_logistic", "sklearn.linear_model.randomized_l1._resample_model",
+    "sklearn.linear_model.randomized_l1.lasso_stability_path", "sklearn.linear_model.ransac.RANSACRegressor",
+    "sklearn.linear_model.ransac._EPSILON", "sklearn.linear_model.ransac._dynamic_max_trials",
+    "sklearn.linear_model.ridge.Ridge", "sklearn.linear_model.ridge.RidgeCV",
+    "sklearn.linear_model.ridge.RidgeClassifier", "sklearn.linear_model.ridge.RidgeClassifierCV",
+    "sklearn.linear_model.ridge._BaseRidge", "sklearn.linear_model.ridge._BaseRidgeCV",
+    "sklearn.linear_model.ridge._RidgeGCV", "sklearn.linear_model.ridge._solve_cholesky",
+    "sklearn.linear_model.ridge._solve_cholesky_kernel", "sklearn.linear_model.ridge._solve_lsqr",
+    "sklearn.linear_model.ridge._solve_sparse_cg", "sklearn.linear_model.ridge._solve_svd",
+    "sklearn.linear_model.ridge.ridge_regression", "sklearn.linear_model.ridge_regression",
+    "sklearn.linear_model.sag.get_auto_step_size", "sklearn.linear_model.sag.sag",
+    "sklearn.linear_model.sag.sag_solver", "sklearn.linear_model.sag_fast.MultinomialLogLoss",
+    "sklearn.linear_model.sag_fast._multinomial_grad_loss_all_samples", "sklearn.linear_model.sag_fast.sag",
+    "sklearn.linear_model.sgd_fast.Classification", "sklearn.linear_model.sgd_fast.EpsilonInsensitive",
+    "sklearn.linear_model.sgd_fast.Hinge", "sklearn.linear_model.sgd_fast.Huber",
+    "sklearn.linear_model.sgd_fast.Log", "sklearn.linear_model.sgd_fast.LossFunction",
+    "sklearn.linear_model.sgd_fast.ModifiedHuber", "sklearn.linear_model.sgd_fast.Regression",
+    "sklearn.linear_model.sgd_fast.SquaredEpsilonInsensitive", "sklearn.linear_model.sgd_fast.SquaredHinge",
+    "sklearn.linear_model.sgd_fast.SquaredLoss", "sklearn.linear_model.sgd_fast._plain_sgd",
+    "sklearn.linear_model.sgd_fast.average_sgd", "sklearn.linear_model.sgd_fast.plain_sgd",
+    "sklearn.linear_model.stochastic_gradient.BaseSGD", "sklearn.linear_model.stochastic_gradient.BaseSGDClassifier",
+    "sklearn.linear_model.stochastic_gradient.BaseSGDRegressor", "sklearn.linear_model.stochastic_gradient.DEFAULT_EPSILON",
+    "sklearn.linear_model.stochastic_gradient.LEARNING_RATE_TYPES", "sklearn.linear_model.stochastic_gradient.PENALTY_TYPES",
+    "sklearn.linear_model.stochastic_gradient.SGDClassifier", "sklearn.linear_model.stochastic_gradient.SGDRegressor",
+    "sklearn.linear_model.stochastic_gradient._prepare_fit_binary", "sklearn.linear_model.stochastic_gradient.fit_binary",
+    "sklearn.linear_model.theil_sen.TheilSenRegressor", "sklearn.linear_model.theil_sen._EPSILON",
+    "sklearn.linear_model.theil_sen._breakdown_point", "sklearn.linear_model.theil_sen._lstsq",
+    "sklearn.linear_model.theil_sen._modified_weiszfeld_step", "sklearn.linear_model.theil_sen._spatial_median",
+    "sklearn.linear_model.theil_sen.binom", "sklearn.manifold.Isomap",
+    "sklearn.manifold.LocallyLinearEmbedding", "sklearn.manifold.MDS",
+    "sklearn.manifold.SpectralEmbedding", "sklearn.manifold.TSNE",
+    "sklearn.manifold._barnes_hut_tsne.gradient", "sklearn.manifold._utils._binary_search_perplexity",
+    "sklearn.manifold.isomap.Isomap", "sklearn.manifold.locally_linear.FLOAT_DTYPES",
+    "sklearn.manifold.locally_linear.LocallyLinearEmbedding", "sklearn.manifold.locally_linear.barycenter_kneighbors_graph",
+    "sklearn.manifold.locally_linear.barycenter_weights", "sklearn.manifold.locally_linear.locally_linear_embedding",
+    "sklearn.manifold.locally_linear.null_space", "sklearn.manifold.locally_linear_embedding",
+    "sklearn.manifold.mds.MDS", "sklearn.manifold.mds._smacof_single",
+    "sklearn.manifold.mds.smacof", "sklearn.manifold.smacof",
+    "sklearn.manifold.spectral_embedding", "sklearn.manifold.spectral_embedding_.SpectralEmbedding",
+    "sklearn.manifold.spectral_embedding_._graph_connected_component", "sklearn.manifold.spectral_embedding_._graph_is_connected",
+    "sklearn.manifold.spectral_embedding_._set_diag", "sklearn.manifold.spectral_embedding_.spectral_embedding",
+    "sklearn.manifold.t_sne.MACHINE_EPSILON", "sklearn.manifold.t_sne.TSNE",
+    "sklearn.manifold.t_sne._gradient_descent", "sklearn.manifold.t_sne._joint_probabilities",
+    "sklearn.manifold.t_sne._joint_probabilities_nn", "sklearn.manifold.t_sne._kl_divergence",
+    "sklearn.manifold.t_sne._kl_divergence_bh", "sklearn.manifold.t_sne.string_types",
+    "sklearn.manifold.t_sne.trustworthiness", "sklearn.metrics.SCORERS",
+    "sklearn.metrics.accuracy_score", "sklearn.metrics.adjusted_mutual_info_score",
+    "sklearn.metrics.adjusted_rand_score", "sklearn.metrics.auc",
+    "sklearn.metrics.average_precision_score", "sklearn.metrics.base._average_binary_score",
+    "sklearn.metrics.brier_score_loss", "sklearn.metrics.calinski_harabaz_score",
+    "sklearn.metrics.classification._check_binary_probabilistic_predictions", "sklearn.metrics.classification._check_targets",
+    "sklearn.metrics.classification._prf_divide", "sklearn.metrics.classification._weighted_sum",
+    "sklearn.metrics.classification.accuracy_score", "sklearn.metrics.classification.brier_score_loss",
+    "sklearn.metrics.classification.classification_report", "sklearn.metrics.classification.cohen_kappa_score",
+    "sklearn.metrics.classification.confusion_matrix", "sklearn.metrics.classification.f1_score",
+    "sklearn.metrics.classification.fbeta_score", "sklearn.metrics.classification.hamming_loss",
+    "sklearn.metrics.classification.hinge_loss", "sklearn.metrics.classification.jaccard_similarity_score",
+    "sklearn.metrics.classification.log_loss", "sklearn.metrics.classification.matthews_corrcoef",
+    "sklearn.metrics.classification.precision_recall_fscore_support", "sklearn.metrics.classification.precision_score",
+    "sklearn.metrics.classification.recall_score", "sklearn.metrics.classification.zero_one_loss",
+    "sklearn.metrics.classification_report", "sklearn.metrics.cluster.adjusted_mutual_info_score",
+    "sklearn.metrics.cluster.adjusted_rand_score", "sklearn.metrics.cluster.bicluster._check_rows_and_columns",
+    "sklearn.metrics.cluster.bicluster._jaccard", "sklearn.metrics.cluster.bicluster._pairwise_similarity",
+    "sklearn.metrics.cluster.bicluster.consensus_score", "sklearn.metrics.cluster.calinski_harabaz_score",
+    "sklearn.metrics.cluster.completeness_score", "sklearn.metrics.cluster.consensus_score",
+    "sklearn.metrics.cluster.contingency_matrix", "sklearn.metrics.cluster.entropy",
+    "sklearn.metrics.cluster.expected_mutual_info_fast.expected_mutual_information", "sklearn.metrics.cluster.expected_mutual_info_fast.gammaln",
+    "sklearn.metrics.cluster.expected_mutual_information", "sklearn.metrics.cluster.fowlkes_mallows_score",
+    "sklearn.metrics.cluster.homogeneity_completeness_v_measure", "sklearn.metrics.cluster.homogeneity_score",
+    "sklearn.metrics.cluster.mutual_info_score", "sklearn.metrics.cluster.normalized_mutual_info_score",
+    "sklearn.metrics.cluster.silhouette_samples", "sklearn.metrics.cluster.silhouette_score",
+    "sklearn.metrics.cluster.supervised.adjusted_mutual_info_score", "sklearn.metrics.cluster.supervised.adjusted_rand_score",
+    "sklearn.metrics.cluster.supervised.check_clusterings", "sklearn.metrics.cluster.supervised.comb2",
+    "sklearn.metrics.cluster.supervised.completeness_score", "sklearn.metrics.cluster.supervised.contingency_matrix",
+    "sklearn.metrics.cluster.supervised.entropy", "sklearn.metrics.cluster.supervised.fowlkes_mallows_score",
+    "sklearn.metrics.cluster.supervised.homogeneity_completeness_v_measure", "sklearn.metrics.cluster.supervised.homogeneity_score",
+    "sklearn.metrics.cluster.supervised.mutual_info_score", "sklearn.metrics.cluster.supervised.normalized_mutual_info_score",
+    "sklearn.metrics.cluster.supervised.v_measure_score", "sklearn.metrics.cluster.unsupervised.calinski_harabaz_score",
+    "sklearn.metrics.cluster.unsupervised.check_number_of_labels", "sklearn.metrics.cluster.unsupervised.silhouette_samples",
+    "sklearn.metrics.cluster.unsupervised.silhouette_score", "sklearn.metrics.cluster.v_measure_score",
+    "sklearn.metrics.cohen_kappa_score", "sklearn.metrics.completeness_score",
+    "sklearn.metrics.confusion_matrix", "sklearn.metrics.consensus_score",
+    "sklearn.metrics.coverage_error", "sklearn.metrics.euclidean_distances",
+    "sklearn.metrics.explained_variance_score", "sklearn.metrics.f1_score",
+    "sklearn.metrics.fbeta_score", "sklearn.metrics.fowlkes_mallows_score",
+    "sklearn.metrics.get_scorer", "sklearn.metrics.hamming_loss",
+    "sklearn.metrics.hinge_loss", "sklearn.metrics.homogeneity_completeness_v_measure",
+    "sklearn.metrics.homogeneity_score", "sklearn.metrics.jaccard_similarity_score",
+    "sklearn.metrics.label_ranking_average_precision_score", "sklearn.metrics.label_ranking_loss",
+    "sklearn.metrics.log_loss", "sklearn.metrics.make_scorer",
+    "sklearn.metrics.matthews_corrcoef", "sklearn.metrics.mean_absolute_error",
+    "sklearn.metrics.mean_squared_error", "sklearn.metrics.mean_squared_log_error",
+    "sklearn.metrics.median_absolute_error", "sklearn.metrics.mutual_info_score",
+    "sklearn.metrics.normalized_mutual_info_score", "sklearn.metrics.pairwise.KERNEL_PARAMS",
+    "sklearn.metrics.pairwise.PAIRED_DISTANCES", "sklearn.metrics.pairwise.PAIRWISE_BOOLEAN_FUNCTIONS",
+    "sklearn.metrics.pairwise.PAIRWISE_DISTANCE_FUNCTIONS", "sklearn.metrics.pairwise.PAIRWISE_KERNEL_FUNCTIONS",
+    "sklearn.metrics.pairwise._VALID_METRICS", "sklearn.metrics.pairwise._chi2_kernel_fast",
+    "sklearn.metrics.pairwise._pairwise_callable", "sklearn.metrics.pairwise._parallel_pairwise",
+    "sklearn.metrics.pairwise._return_float_dtype", "sklearn.metrics.pairwise._sparse_manhattan",
+    "sklearn.metrics.pairwise.additive_chi2_kernel", "sklearn.metrics.pairwise.check_paired_arrays",
+    "sklearn.metrics.pairwise.check_pairwise_arrays", "sklearn.metrics.pairwise.chi2_kernel",
+    "sklearn.metrics.pairwise.cosine_distances", "sklearn.metrics.pairwise.cosine_similarity",
+    "sklearn.metrics.pairwise.distance_metrics", "sklearn.metrics.pairwise.euclidean_distances",
+    "sklearn.metrics.pairwise.kernel_metrics", "sklearn.metrics.pairwise.laplacian_kernel",
+    "sklearn.metrics.pairwise.linear_kernel", "sklearn.metrics.pairwise.manhattan_distances",
+    "sklearn.metrics.pairwise.paired_cosine_distances", "sklearn.metrics.pairwise.paired_distances",
+    "sklearn.metrics.pairwise.paired_euclidean_distances", "sklearn.metrics.pairwise.paired_manhattan_distances",
+    "sklearn.metrics.pairwise.pairwise_distances", "sklearn.metrics.pairwise.pairwise_distances_argmin",
+    "sklearn.metrics.pairwise.pairwise_distances_argmin_min", "sklearn.metrics.pairwise.pairwise_kernels",
+    "sklearn.metrics.pairwise.polynomial_kernel", "sklearn.metrics.pairwise.rbf_kernel",
+    "sklearn.metrics.pairwise.sigmoid_kernel", "sklearn.metrics.pairwise_distances",
+    "sklearn.metrics.pairwise_distances_argmin", "sklearn.metrics.pairwise_distances_argmin_min",
+    "sklearn.metrics.pairwise_fast._chi2_kernel_fast", "sklearn.metrics.pairwise_fast._sparse_manhattan",
+    "sklearn.metrics.pairwise_kernels", "sklearn.metrics.precision_recall_curve",
+    "sklearn.metrics.precision_recall_fscore_support", "sklearn.metrics.precision_score",
+    "sklearn.metrics.r2_score", "sklearn.metrics.ranking._binary_clf_curve",
+    "sklearn.metrics.ranking.auc", "sklearn.metrics.ranking.average_precision_score",
+    "sklearn.metrics.ranking.coverage_error", "sklearn.metrics.ranking.label_ranking_average_precision_score",
+    "sklearn.metrics.ranking.label_ranking_loss", "sklearn.metrics.ranking.precision_recall_curve",
+    "sklearn.metrics.ranking.roc_auc_score", "sklearn.metrics.ranking.roc_curve",
+    "sklearn.metrics.recall_score", "sklearn.metrics.regression._check_reg_targets",
+    "sklearn.metrics.regression.explained_variance_score", "sklearn.metrics.regression.mean_absolute_error",
+    "sklearn.metrics.regression.mean_squared_error", "sklearn.metrics.regression.mean_squared_log_error",
+    "sklearn.metrics.regression.median_absolute_error", "sklearn.metrics.regression.r2_score",
+    "sklearn.metrics.regression.string_types", "sklearn.metrics.roc_auc_score",
+    "sklearn.metrics.roc_curve", "sklearn.metrics.scorer.SCORERS",
+    "sklearn.metrics.scorer._BaseScorer", "sklearn.metrics.scorer._PredictScorer",
+    "sklearn.metrics.scorer._ProbaScorer", "sklearn.metrics.scorer._ThresholdScorer",
+    "sklearn.metrics.scorer._check_multimetric_scoring", "sklearn.metrics.scorer._passthrough_scorer",
+    "sklearn.metrics.scorer.accuracy_scorer", "sklearn.metrics.scorer.adjusted_mutual_info_scorer",
+    "sklearn.metrics.scorer.adjusted_rand_scorer", "sklearn.metrics.scorer.average",
+    "sklearn.metrics.scorer.average_precision_scorer", "sklearn.metrics.scorer.check_scoring",
+    "sklearn.metrics.scorer.completeness_scorer", "sklearn.metrics.scorer.deprecation_msg",
+    "sklearn.metrics.scorer.explained_variance_scorer", "sklearn.metrics.scorer.f1_scorer",
+    "sklearn.metrics.scorer.fowlkes_mallows_scorer", "sklearn.metrics.scorer.get_scorer",
+    "sklearn.metrics.scorer.homogeneity_scorer", "sklearn.metrics.scorer.log_loss_scorer",
+    "sklearn.metrics.scorer.make_scorer", "sklearn.metrics.scorer.mean_absolute_error_scorer",
+    "sklearn.metrics.scorer.mean_squared_error_scorer", "sklearn.metrics.scorer.median_absolute_error_scorer",
+    "sklearn.metrics.scorer.mutual_info_scorer", "sklearn.metrics.scorer.name",
+    "sklearn.metrics.scorer.neg_log_loss_scorer", "sklearn.metrics.scorer.neg_mean_absolute_error_scorer",
+    "sklearn.metrics.scorer.neg_mean_squared_error_scorer", "sklearn.metrics.scorer.neg_mean_squared_log_error_scorer",
+    "sklearn.metrics.scorer.neg_median_absolute_error_scorer", "sklearn.metrics.scorer.normalized_mutual_info_scorer",
+    "sklearn.metrics.scorer.precision_scorer", "sklearn.metrics.scorer.qualified_name",
+    "sklearn.metrics.scorer.r2_scorer", "sklearn.metrics.scorer.recall_scorer",
+    "sklearn.metrics.scorer.roc_auc_scorer", "sklearn.metrics.scorer.v_measure_scorer",
+    "sklearn.metrics.silhouette_samples", "sklearn.metrics.silhouette_score",
+    "sklearn.metrics.v_measure_score", "sklearn.metrics.zero_one_loss",
+    "sklearn.model_selection.BaseCrossValidator", "sklearn.model_selection.GridSearchCV",
+    "sklearn.model_selection.GroupKFold", "sklearn.model_selection.GroupShuffleSplit",
+    "sklearn.model_selection.KFold", "sklearn.model_selection.LeaveOneGroupOut",
+    "sklearn.model_selection.LeaveOneOut", "sklearn.model_selection.LeavePGroupsOut",
+    "sklearn.model_selection.LeavePOut", "sklearn.model_selection.ParameterGrid",
+    "sklearn.model_selection.ParameterSampler", "sklearn.model_selection.PredefinedSplit",
+    "sklearn.model_selection.RandomizedSearchCV", "sklearn.model_selection.RepeatedKFold",
+    "sklearn.model_selection.RepeatedStratifiedKFold", "sklearn.model_selection.ShuffleSplit",
+    "sklearn.model_selection.StratifiedKFold", "sklearn.model_selection.StratifiedShuffleSplit",
+    "sklearn.model_selection.TimeSeriesSplit", "sklearn.model_selection._search.BaseSearchCV",
+    "sklearn.model_selection._search.GridSearchCV", "sklearn.model_selection._search.ParameterGrid",
+    "sklearn.model_selection._search.ParameterSampler", "sklearn.model_selection._search.RandomizedSearchCV",
+    "sklearn.model_selection._search._CVScoreTuple", "sklearn.model_selection._search._check_param_grid",
+    "sklearn.model_selection._search.fit_grid_point", "sklearn.model_selection._search.sp_version",
+    "sklearn.model_selection._split.BaseCrossValidator", "sklearn.model_selection._split.BaseShuffleSplit",
+    "sklearn.model_selection._split.GroupKFold", "sklearn.model_selection._split.GroupShuffleSplit",
+    "sklearn.model_selection._split.KFold", "sklearn.model_selection._split.LeaveOneGroupOut",
+    "sklearn.model_selection._split.LeaveOneOut", "sklearn.model_selection._split.LeavePGroupsOut",
+    "sklearn.model_selection._split.LeavePOut", "sklearn.model_selection._split.PredefinedSplit",
+    "sklearn.model_selection._split.RepeatedKFold", "sklearn.model_selection._split.RepeatedStratifiedKFold",
+    "sklearn.model_selection._split.ShuffleSplit", "sklearn.model_selection._split.StratifiedKFold",
+    "sklearn.model_selection._split.StratifiedShuffleSplit", "sklearn.model_selection._split.TimeSeriesSplit",
+    "sklearn.model_selection._split._BaseKFold", "sklearn.model_selection._split._CVIterableWrapper",
+    "sklearn.model_selection._split._RepeatedSplits", "sklearn.model_selection._split._approximate_mode",
+    "sklearn.model_selection._split._build_repr", "sklearn.model_selection._split._validate_shuffle_split",
+    "sklearn.model_selection._split._validate_shuffle_split_init", "sklearn.model_selection._split.check_cv",
+    "sklearn.model_selection._split.train_test_split", "sklearn.model_selection._validation._aggregate_score_dicts",
+    "sklearn.model_selection._validation._check_is_permutation", "sklearn.model_selection._validation._fit_and_predict",
+    "sklearn.model_selection._validation._fit_and_score", "sklearn.model_selection._validation._incremental_fit_estimator",
+    "sklearn.model_selection._validation._index_param_value", "sklearn.model_selection._validation._multimetric_score",
+    "sklearn.model_selection._validation._permutation_test_score", "sklearn.model_selection._validation._score",
+    "sklearn.model_selection._validation._shuffle", "sklearn.model_selection._validation._translate_train_sizes",
+    "sklearn.model_selection._validation.cross_val_predict", "sklearn.model_selection._validation.cross_val_score",
+    "sklearn.model_selection._validation.cross_validate", "sklearn.model_selection._validation.learning_curve",
+    "sklearn.model_selection._validation.permutation_test_score", "sklearn.model_selection._validation.validation_curve",
+    "sklearn.model_selection.check_cv", "sklearn.model_selection.cross_val_predict",
+    "sklearn.model_selection.cross_val_score", "sklearn.model_selection.cross_validate",
+    "sklearn.model_selection.fit_grid_point", "sklearn.model_selection.learning_curve",
+    "sklearn.model_selection.permutation_test_score", "sklearn.model_selection.train_test_split",
+    "sklearn.model_selection.validation_curve", "sklearn.multiclass.OneVsOneClassifier",
+    "sklearn.multiclass.OneVsRestClassifier", "sklearn.multiclass.OutputCodeClassifier",
+    "sklearn.multiclass._ConstantPredictor", "sklearn.multiclass._check_estimator",
+    "sklearn.multiclass._fit_binary", "sklearn.multiclass._fit_ovo_binary",
+    "sklearn.multiclass._partial_fit_binary", "sklearn.multiclass._partial_fit_ovo_binary",
+    "sklearn.multiclass._predict_binary", "sklearn.naive_bayes.BaseDiscreteNB",
+    "sklearn.naive_bayes.BaseNB", "sklearn.naive_bayes.BernoulliNB",
+    "sklearn.naive_bayes.GaussianNB", "sklearn.naive_bayes.MultinomialNB",
+    "sklearn.naive_bayes._ALPHA_MIN", "sklearn.neighbors.BallTree",
+    "sklearn.neighbors.DistanceMetric", "sklearn.neighbors.KDTree",
+    "sklearn.neighbors.KNeighborsClassifier", "sklearn.neighbors.KNeighborsRegressor",
+    "sklearn.neighbors.KernelDensity", "sklearn.neighbors.LSHForest",
+    "sklearn.neighbors.LocalOutlierFactor", "sklearn.neighbors.NearestCentroid",
+    "sklearn.neighbors.NearestNeighbors", "sklearn.neighbors.RadiusNeighborsClassifier",
+    "sklearn.neighbors.RadiusNeighborsRegressor", "sklearn.neighbors.approximate.GaussianRandomProjectionHash",
+    "sklearn.neighbors.approximate.HASH_DTYPE", "sklearn.neighbors.approximate.LSHForest",
+    "sklearn.neighbors.approximate.MAX_HASH_SIZE", "sklearn.neighbors.approximate.ProjectionToHashMixin",
+    "sklearn.neighbors.approximate._array_of_arrays", "sklearn.neighbors.approximate._find_longest_prefix_match",
+    "sklearn.neighbors.approximate._find_matching_indices", "sklearn.neighbors.ball_tree.BallTree",
+    "sklearn.neighbors.ball_tree.BinaryTree", "sklearn.neighbors.ball_tree.CLASS_DOC",
+    "sklearn.neighbors.ball_tree.DOC_DICT", "sklearn.neighbors.ball_tree.NeighborsHeap",
+    "sklearn.neighbors.ball_tree.NodeData", "sklearn.neighbors.ball_tree.NodeHeap",
+    "sklearn.neighbors.ball_tree.NodeHeapData", "sklearn.neighbors.ball_tree.VALID_METRICS",
+    "sklearn.neighbors.ball_tree.VALID_METRIC_IDS", "sklearn.neighbors.ball_tree.kernel_norm",
+    "sklearn.neighbors.ball_tree.load_heap", "sklearn.neighbors.ball_tree.newObj",
+    "sklearn.neighbors.ball_tree.nodeheap_sort", "sklearn.neighbors.ball_tree.offsets",
+    "sklearn.neighbors.ball_tree.simultaneous_sort", "sklearn.neighbors.base.KNeighborsMixin",
+    "sklearn.neighbors.base.NeighborsBase", "sklearn.neighbors.base.PAIRWISE_DISTANCE_FUNCTIONS",
+    "sklearn.neighbors.base.RadiusNeighborsMixin", "sklearn.neighbors.base.SupervisedFloatMixin",
+    "sklearn.neighbors.base.SupervisedIntegerMixin", "sklearn.neighbors.base.UnsupervisedMixin",
+    "sklearn.neighbors.base.VALID_METRICS", "sklearn.neighbors.base.VALID_METRICS_SPARSE",
+    "sklearn.neighbors.base._check_weights", "sklearn.neighbors.base._get_weights",
+    "sklearn.neighbors.classification.KNeighborsClassifier", "sklearn.neighbors.classification.RadiusNeighborsClassifier",
+    "sklearn.neighbors.dist_metrics.BrayCurtisDistance", "sklearn.neighbors.dist_metrics.CanberraDistance",
+    "sklearn.neighbors.dist_metrics.ChebyshevDistance", "sklearn.neighbors.dist_metrics.DiceDistance",
+    "sklearn.neighbors.dist_metrics.DistanceMetric", "sklearn.neighbors.dist_metrics.EuclideanDistance",
+    "sklearn.neighbors.dist_metrics.HammingDistance", "sklearn.neighbors.dist_metrics.HaversineDistance",
+    "sklearn.neighbors.dist_metrics.JaccardDistance", "sklearn.neighbors.dist_metrics.KulsinskiDistance",
+    "sklearn.neighbors.dist_metrics.METRIC_MAPPING", "sklearn.neighbors.dist_metrics.MahalanobisDistance",
+    "sklearn.neighbors.dist_metrics.ManhattanDistance", "sklearn.neighbors.dist_metrics.MatchingDistance",
+    "sklearn.neighbors.dist_metrics.MinkowskiDistance", "sklearn.neighbors.dist_metrics.PyFuncDistance",
+    "sklearn.neighbors.dist_metrics.RogersTanimotoDistance", "sklearn.neighbors.dist_metrics.RussellRaoDistance",
+    "sklearn.neighbors.dist_metrics.SEuclideanDistance", "sklearn.neighbors.dist_metrics.SokalMichenerDistance",
+    "sklearn.neighbors.dist_metrics.SokalSneathDistance", "sklearn.neighbors.dist_metrics.WMinkowskiDistance",
+    "sklearn.neighbors.dist_metrics.get_valid_metric_ids", "sklearn.neighbors.dist_metrics.newObj",
+    "sklearn.neighbors.graph._check_params", "sklearn.neighbors.graph._query_include_self",
+    "sklearn.neighbors.graph.kneighbors_graph", "sklearn.neighbors.graph.radius_neighbors_graph",
+    "sklearn.neighbors.kd_tree.BinaryTree", "sklearn.neighbors.kd_tree.CLASS_DOC",
+    "sklearn.neighbors.kd_tree.DOC_DICT", "sklearn.neighbors.kd_tree.KDTree",
+    "sklearn.neighbors.kd_tree.NeighborsHeap", "sklearn.neighbors.kd_tree.NodeData",
+    "sklearn.neighbors.kd_tree.NodeHeap", "sklearn.neighbors.kd_tree.NodeHeapData",
+    "sklearn.neighbors.kd_tree.VALID_METRICS", "sklearn.neighbors.kd_tree.VALID_METRIC_IDS",
+    "sklearn.neighbors.kd_tree.kernel_norm", "sklearn.neighbors.kd_tree.load_heap",
+    "sklearn.neighbors.kd_tree.newObj", "sklearn.neighbors.kd_tree.nodeheap_sort",
+    "sklearn.neighbors.kd_tree.offsets", "sklearn.neighbors.kd_tree.simultaneous_sort",
+    "sklearn.neighbors.kde.KernelDensity", "sklearn.neighbors.kde.TREE_DICT",
+    "sklearn.neighbors.kde.VALID_KERNELS", "sklearn.neighbors.kde.gammainc",
+    "sklearn.neighbors.kneighbors_graph", "sklearn.neighbors.lof.LocalOutlierFactor",
+    "sklearn.neighbors.nearest_centroid.NearestCentroid", "sklearn.neighbors.quad_tree.CELL_DTYPE",
+    "sklearn.neighbors.quad_tree._QuadTree", "sklearn.neighbors.radius_neighbors_graph",
+    "sklearn.neighbors.regression.KNeighborsRegressor", "sklearn.neighbors.regression.RadiusNeighborsRegressor",
+    "sklearn.neighbors.unsupervised.NearestNeighbors", "sklearn.pipeline.FeatureUnion",
+    "sklearn.pipeline.Pipeline", "sklearn.pipeline._fit_one_transformer",
+    "sklearn.pipeline._fit_transform_one", "sklearn.pipeline._name_estimators",
+    "sklearn.pipeline._transform_one", "sklearn.pipeline.make_pipeline",
+    "sklearn.pipeline.make_union", "sklearn.preprocessing.Binarizer",
+    "sklearn.preprocessing.FunctionTransformer", "sklearn.preprocessing.Imputer",
+    "sklearn.preprocessing.KernelCenterer", "sklearn.preprocessing.LabelBinarizer",
+    "sklearn.preprocessing.LabelEncoder", "sklearn.preprocessing.MaxAbsScaler",
+    "sklearn.preprocessing.MinMaxScaler", "sklearn.preprocessing.MultiLabelBinarizer",
+    "sklearn.preprocessing.Normalizer", "sklearn.preprocessing.OneHotEncoder",
+    "sklearn.preprocessing.PolynomialFeatures", "sklearn.preprocessing.QuantileTransformer",
+    "sklearn.preprocessing.RobustScaler", "sklearn.preprocessing.StandardScaler",
+    "sklearn.preprocessing._function_transformer.FunctionTransformer", "sklearn.preprocessing._function_transformer._identity",
+    "sklearn.preprocessing._function_transformer.string_types", "sklearn.preprocessing.add_dummy_feature",
+    "sklearn.preprocessing.binarize", "sklearn.preprocessing.data.BOUNDS_THRESHOLD",
+    "sklearn.preprocessing.data.Binarizer", "sklearn.preprocessing.data.FLOAT_DTYPES",
+    "sklearn.preprocessing.data.KernelCenterer", "sklearn.preprocessing.data.MaxAbsScaler",
+    "sklearn.preprocessing.data.MinMaxScaler", "sklearn.preprocessing.data.Normalizer",
+    "sklearn.preprocessing.data.OneHotEncoder", "sklearn.preprocessing.data.PolynomialFeatures",
+    "sklearn.preprocessing.data.QuantileTransformer", "sklearn.preprocessing.data.RobustScaler",
+    "sklearn.preprocessing.data.StandardScaler", "sklearn.preprocessing.data._handle_zeros_in_scale",
+    "sklearn.preprocessing.data._transform_selected", "sklearn.preprocessing.data.add_dummy_feature",
+    "sklearn.preprocessing.data.binarize", "sklearn.preprocessing.data.maxabs_scale",
+    "sklearn.preprocessing.data.minmax_scale", "sklearn.preprocessing.data.normalize",
+    "sklearn.preprocessing.data.quantile_transform", "sklearn.preprocessing.data.robust_scale",
+    "sklearn.preprocessing.data.scale", "sklearn.preprocessing.data.string_types",
+    "sklearn.preprocessing.imputation.FLOAT_DTYPES", "sklearn.preprocessing.imputation.Imputer",
+    "sklearn.preprocessing.imputation._get_mask", "sklearn.preprocessing.imputation._most_frequent",
+    "sklearn.preprocessing.label.LabelBinarizer", "sklearn.preprocessing.label.LabelEncoder",
+    "sklearn.preprocessing.label.MultiLabelBinarizer", "sklearn.preprocessing.label._inverse_binarize_multiclass",
+    "sklearn.preprocessing.label._inverse_binarize_thresholding", "sklearn.preprocessing.label.label_binarize",
+    "sklearn.preprocessing.label_binarize", "sklearn.preprocessing.maxabs_scale",
+    "sklearn.preprocessing.minmax_scale", "sklearn.preprocessing.normalize",
+    "sklearn.preprocessing.quantile_transform", "sklearn.preprocessing.robust_scale",
+    "sklearn.preprocessing.scale", "sklearn.random_projection.BaseRandomProjection",
+    "sklearn.random_projection.GaussianRandomProjection", "sklearn.random_projection.SparseRandomProjection",
+    "sklearn.random_projection._check_density", "sklearn.random_projection._check_input_size",
+    "sklearn.random_projection.gaussian_random_matrix", "sklearn.random_projection.johnson_lindenstrauss_min_dim",
+    "sklearn.random_projection.sparse_random_matrix", "sklearn.set_config",
+    "sklearn.setup_module", "sklearn.svm.LinearSVC",
+    "sklearn.svm.LinearSVR", "sklearn.svm.NuSVC",
+    "sklearn.svm.NuSVR", "sklearn.svm.OneClassSVM",
+    "sklearn.svm.SVC", "sklearn.svm.SVR",
+    "sklearn.svm.base.BaseLibSVM", "sklearn.svm.base.BaseSVC",
+    "sklearn.svm.base.LIBSVM_IMPL", "sklearn.svm.base._fit_liblinear",
+    "sklearn.svm.base._get_liblinear_solver_type", "sklearn.svm.base._one_vs_one_coef",
+    "sklearn.svm.bounds.l1_min_c", "sklearn.svm.classes.LinearSVC",
+    "sklearn.svm.classes.LinearSVR", "sklearn.svm.classes.NuSVC",
+    "sklearn.svm.classes.NuSVR", "sklearn.svm.classes.OneClassSVM",
+    "sklearn.svm.classes.SVC", "sklearn.svm.classes.SVR",
+    "sklearn.svm.l1_min_c", "sklearn.svm.liblinear.set_verbosity_wrap",
+    "sklearn.svm.liblinear.train_wrap", "sklearn.svm.libsvm.LIBSVM_KERNEL_TYPES",
+    "sklearn.svm.libsvm.cross_validation", "sklearn.svm.libsvm.decision_function",
+    "sklearn.svm.libsvm.fit", "sklearn.svm.libsvm.predict",
+    "sklearn.svm.libsvm.predict_proba", "sklearn.svm.libsvm.set_verbosity_wrap",
+    "sklearn.svm.libsvm_sparse.libsvm_sparse_decision_function", "sklearn.svm.libsvm_sparse.libsvm_sparse_predict",
+    "sklearn.svm.libsvm_sparse.libsvm_sparse_predict_proba", "sklearn.svm.libsvm_sparse.libsvm_sparse_train",
+    "sklearn.svm.libsvm_sparse.set_verbosity_wrap", "sklearn.tree.DecisionTreeClassifier",
+    "sklearn.tree.DecisionTreeRegressor", "sklearn.tree.ExtraTreeClassifier",
+    "sklearn.tree.ExtraTreeRegressor", "sklearn.tree._criterion.ClassificationCriterion",
+    "sklearn.tree._criterion.Criterion", "sklearn.tree._criterion.Entropy",
+    "sklearn.tree._criterion.FriedmanMSE", "sklearn.tree._criterion.Gini",
+    "sklearn.tree._criterion.MAE", "sklearn.tree._criterion.MSE",
+    "sklearn.tree._criterion.RegressionCriterion", "sklearn.tree._splitter.BaseDenseSplitter",
+    "sklearn.tree._splitter.BaseSparseSplitter", "sklearn.tree._splitter.BestSparseSplitter",
+    "sklearn.tree._splitter.BestSplitter", "sklearn.tree._splitter.RandomSparseSplitter",
+    "sklearn.tree._splitter.RandomSplitter", "sklearn.tree._splitter.Splitter",
+    "sklearn.tree._tree.BestFirstTreeBuilder", "sklearn.tree._tree.DepthFirstTreeBuilder",
+    "sklearn.tree._tree.NODE_DTYPE", "sklearn.tree._tree.TREE_LEAF",
+    "sklearn.tree._tree.TREE_UNDEFINED", "sklearn.tree._tree.Tree",
+    "sklearn.tree._tree.TreeBuilder", "sklearn.tree._utils.PriorityHeap",
+    "sklearn.tree._utils.Stack", "sklearn.tree._utils.WeightedMedianCalculator",
+    "sklearn.tree._utils.WeightedPQueue", "sklearn.tree._utils._realloc_test",
+    "sklearn.tree.export.SENTINEL", "sklearn.tree.export.Sentinel",
+    "sklearn.tree.export._color_brew", "sklearn.tree.export.export_graphviz",
+    "sklearn.tree.export_graphviz", "sklearn.tree.tree.BaseDecisionTree",
+    "sklearn.tree.tree.CRITERIA_CLF", "sklearn.tree.tree.CRITERIA_REG",
+    "sklearn.tree.tree.DENSE_SPLITTERS", "sklearn.tree.tree.DecisionTreeClassifier",
+    "sklearn.tree.tree.DecisionTreeRegressor", "sklearn.tree.tree.ExtraTreeClassifier",
+    "sklearn.tree.tree.ExtraTreeRegressor", "sklearn.tree.tree.SPARSE_SPLITTERS",
+    "sklearn.utils.Bunch", "sklearn.utils._get_n_jobs",
+    "sklearn.utils._logistic_sigmoid._log_logistic_sigmoid", "sklearn.utils._random._sample_without_replacement_check_input",
+    "sklearn.utils._random._sample_without_replacement_with_pool", "sklearn.utils._random._sample_without_replacement_with_reservoir_sampling",
+    "sklearn.utils._random._sample_without_replacement_with_tracking_selection", "sklearn.utils._random.sample_without_replacement",
+    "sklearn.utils.arrayfuncs.cholesky_delete", "sklearn.utils.arrayfuncs.min_pos",
+    "sklearn.utils.as_float_array", "sklearn.utils.assert_all_finite",
+    "sklearn.utils.axis0_safe_slice", "sklearn.utils.check_X_y",
+    "sklearn.utils.check_array", "sklearn.utils.check_consistent_length",
+    "sklearn.utils.check_random_state", "sklearn.utils.check_symmetric",
+    "sklearn.utils.class_weight.compute_class_weight", "sklearn.utils.class_weight.compute_sample_weight",
+    "sklearn.utils.column_or_1d", "sklearn.utils.compute_class_weight",
+    "sklearn.utils.compute_sample_weight", "sklearn.utils.deprecated",
+    "sklearn.utils.deprecation.DeprecationDict", "sklearn.utils.deprecation._is_deprecated",
+    "sklearn.utils.deprecation.deprecated", "sklearn.utils.extmath._deterministic_vector_sign_flip",
+    "sklearn.utils.extmath._impose_f_order", "sklearn.utils.extmath._incremental_mean_and_var",
+    "sklearn.utils.extmath.cartesian", "sklearn.utils.extmath.density",
+    "sklearn.utils.extmath.fast_dot", "sklearn.utils.extmath.fast_logdet",
+    "sklearn.utils.extmath.log_logistic", "sklearn.utils.extmath.logsumexp",
+    "sklearn.utils.extmath.make_nonnegative", "sklearn.utils.extmath.norm",
+    "sklearn.utils.extmath.np_version", "sklearn.utils.extmath.pinvh",
+    "sklearn.utils.extmath.randomized_range_finder", "sklearn.utils.extmath.randomized_svd",
+    "sklearn.utils.extmath.row_norms", "sklearn.utils.extmath.safe_min",
+    "sklearn.utils.extmath.safe_sparse_dot", "sklearn.utils.extmath.softmax",
+    "sklearn.utils.extmath.squared_norm", "sklearn.utils.extmath.stable_cumsum",
+    "sklearn.utils.extmath.svd_flip", "sklearn.utils.extmath.weighted_mode",
+    "sklearn.utils.fast_dict.IntFloatDict", "sklearn.utils.fast_dict.argmin",
+    "sklearn.utils.fixes._parse_version", "sklearn.utils.fixes.divide",
+    "sklearn.utils.fixes.euler_gamma", "sklearn.utils.fixes.makedirs",
+    "sklearn.utils.fixes.np_version", "sklearn.utils.fixes.parallel_helper",
+    "sklearn.utils.fixes.sp_version", "sklearn.utils.fixes.sparse_min_max",
+    "sklearn.utils.gen_batches", "sklearn.utils.gen_even_slices",
+    "sklearn.utils.graph.connected_components", "sklearn.utils.graph.graph_laplacian",
+    "sklearn.utils.graph.graph_shortest_path", "sklearn.utils.graph.single_source_shortest_path_length",
+    "sklearn.utils.graph_shortest_path.graph_shortest_path", "sklearn.utils.indexable",
+    "sklearn.utils.indices_to_mask", "sklearn.utils.linear_assignment_._HungarianState",
+    "sklearn.utils.linear_assignment_._hungarian", "sklearn.utils.linear_assignment_._step1",
+    "sklearn.utils.linear_assignment_._step3", "sklearn.utils.linear_assignment_._step4",
+    "sklearn.utils.linear_assignment_._step5", "sklearn.utils.linear_assignment_._step6",
+    "sklearn.utils.linear_assignment_.linear_assignment", "sklearn.utils.metaestimators._BaseComposition",
+    "sklearn.utils.metaestimators._IffHasAttrDescriptor", "sklearn.utils.metaestimators._safe_split",
+    "sklearn.utils.metaestimators.if_delegate_has_method", "sklearn.utils.multiclass._FN_UNIQUE_LABELS",
+    "sklearn.utils.multiclass._check_partial_fit_first_call", "sklearn.utils.multiclass._is_integral_float",
+    "sklearn.utils.multiclass._ovr_decision_function", "sklearn.utils.multiclass._unique_indicator",
+    "sklearn.utils.multiclass._unique_multiclass", "sklearn.utils.multiclass.check_classification_targets",
+    "sklearn.utils.multiclass.class_distribution", "sklearn.utils.multiclass.is_multilabel",
+    "sklearn.utils.multiclass.string_types", "sklearn.utils.multiclass.type_of_target",
+    "sklearn.utils.multiclass.unique_labels", "sklearn.utils.murmurhash.murmurhash3_32",
+    "sklearn.utils.murmurhash.murmurhash3_bytes_array_s32", "sklearn.utils.murmurhash.murmurhash3_bytes_array_u32",
+    "sklearn.utils.murmurhash.murmurhash3_bytes_s32", "sklearn.utils.murmurhash.murmurhash3_bytes_u32",
+    "sklearn.utils.murmurhash.murmurhash3_int_s32", "sklearn.utils.murmurhash.murmurhash3_int_u32",
+    "sklearn.utils.murmurhash3_32", "sklearn.utils.optimize._LineSearchError",
+    "sklearn.utils.optimize._cg", "sklearn.utils.optimize._line_search_wolfe12",
+    "sklearn.utils.optimize.newton_cg", "sklearn.utils.random.choice",
+    "sklearn.utils.random.random_choice_csc", "sklearn.utils.resample",
+    "sklearn.utils.safe_indexing", "sklearn.utils.safe_mask",
+    "sklearn.utils.safe_sqr", "sklearn.utils.seq_dataset.ArrayDataset",
+    "sklearn.utils.seq_dataset.CSRDataset", "sklearn.utils.seq_dataset.SequentialDataset",
+    "sklearn.utils.shuffle", "sklearn.utils.sparsefuncs._csc_mean_var_axis0",
+    "sklearn.utils.sparsefuncs._csr_mean_var_axis0", "sklearn.utils.sparsefuncs._get_elem_at_rank",
+    "sklearn.utils.sparsefuncs._get_median", "sklearn.utils.sparsefuncs._incr_mean_var_axis0",
+    "sklearn.utils.sparsefuncs._raise_error_wrong_axis", "sklearn.utils.sparsefuncs._raise_typeerror",
+    "sklearn.utils.sparsefuncs.count_nonzero", "sklearn.utils.sparsefuncs.csc_median_axis_0",
+    "sklearn.utils.sparsefuncs.incr_mean_variance_axis", "sklearn.utils.sparsefuncs.inplace_column_scale",
+    "sklearn.utils.sparsefuncs.inplace_csr_column_scale", "sklearn.utils.sparsefuncs.inplace_csr_row_scale",
+    "sklearn.utils.sparsefuncs.inplace_row_scale", "sklearn.utils.sparsefuncs.inplace_swap_column",
+    "sklearn.utils.sparsefuncs.inplace_swap_row", "sklearn.utils.sparsefuncs.inplace_swap_row_csc",
+    "sklearn.utils.sparsefuncs.inplace_swap_row_csr", "sklearn.utils.sparsefuncs.mean_variance_axis",
+    "sklearn.utils.sparsefuncs.min_max_axis", "sklearn.utils.sparsefuncs_fast._csc_mean_variance_axis0",
+    "sklearn.utils.sparsefuncs_fast._csr_mean_variance_axis0", "sklearn.utils.sparsefuncs_fast._csr_row_norms",
+    "sklearn.utils.sparsefuncs_fast._incr_mean_variance_axis0", "sklearn.utils.sparsefuncs_fast._inplace_csr_row_normalize_l1",
+    "sklearn.utils.sparsefuncs_fast._inplace_csr_row_normalize_l2", "sklearn.utils.sparsefuncs_fast.assign_rows_csr",
+    "sklearn.utils.sparsefuncs_fast.csc_mean_variance_axis0", "sklearn.utils.sparsefuncs_fast.csr_mean_variance_axis0",
+    "sklearn.utils.sparsefuncs_fast.csr_row_norms", "sklearn.utils.sparsefuncs_fast.incr_mean_variance_axis0",
+    "sklearn.utils.sparsefuncs_fast.inplace_csr_row_normalize_l1", "sklearn.utils.sparsefuncs_fast.inplace_csr_row_normalize_l2",
+    "sklearn.utils.stats._weighted_percentile", "sklearn.utils.stats.rankdata",
+    "sklearn.utils.tosequence", "sklearn.utils.validation.FLOAT_DTYPES",
+    "sklearn.utils.validation._assert_all_finite", "sklearn.utils.validation._ensure_sparse_format",
+    "sklearn.utils.validation._is_arraylike", "sklearn.utils.validation._num_samples",
+    "sklearn.utils.validation._shape_repr", "sklearn.utils.validation.as_float_array",
+    "sklearn.utils.validation.assert_all_finite", "sklearn.utils.validation.check_X_y",
+    "sklearn.utils.validation.check_array", "sklearn.utils.validation.check_consistent_length",
+    "sklearn.utils.validation.check_is_fitted", "sklearn.utils.validation.check_memory",
+    "sklearn.utils.validation.check_non_negative", "sklearn.utils.validation.check_random_state",
+    "sklearn.utils.validation.check_symmetric", "sklearn.utils.validation.column_or_1d",
+    "sklearn.utils.validation.has_fit_parameter", "sklearn.utils.validation.indexable",
+    "sklearn.utils.weight_vector.WeightVector"
+],
+
+  "SKR_NAMES": [
+    "skrebate.MultiSURF", "skrebate.MultiSURFstar",
+    "skrebate.ReliefF", "skrebate.SURF",
+    "skrebate.SURFstar", "skrebate.TuRF",
+    "skrebate.multisurf.MultiSURF", "skrebate.multisurfstar.MultiSURFstar",
+    "skrebate.relieff.ReliefF", "skrebate.scoring_utils.MultiSURF_compute_scores",
+    "skrebate.scoring_utils.MultiSURFstar_compute_scores", "skrebate.scoring_utils.ReliefF_compute_scores",
+    "skrebate.scoring_utils.SURF_compute_scores", "skrebate.scoring_utils.SURFstar_compute_scores",
+    "skrebate.scoring_utils.compute_score", "skrebate.scoring_utils.get_row_missing",
+    "skrebate.scoring_utils.ramp_function", "skrebate.surf.SURF",
+    "skrebate.surfstar.SURFstar", "skrebate.turf.TuRF"
+  ],
+
+  "XGB_NAMES": [
+    "xgboost.Booster", "xgboost.DMatrix",
+    "xgboost.VERSION_FILE", "xgboost.XGBClassifier",
+    "xgboost.XGBModel", "xgboost.XGBRegressor",
+    "xgboost.callback._fmt_metric", "xgboost.callback._get_callback_context",
+    "xgboost.callback.early_stop", "xgboost.callback.print_evaluation",
+    "xgboost.callback.record_evaluation", "xgboost.callback.reset_learning_rate",
+    "xgboost.compat.PANDAS_INSTALLED", "xgboost.compat.PY3",
+    "xgboost.compat.SKLEARN_INSTALLED", "xgboost.compat.STRING_TYPES",
+    "xgboost.compat.py_str", "xgboost.core.Booster",
+    "xgboost.core.CallbackEnv", "xgboost.core.DMatrix",
+    "xgboost.core.EarlyStopException", "xgboost.core.PANDAS_DTYPE_MAPPER",
+    "xgboost.core.PANDAS_INSTALLED", "xgboost.core.PY3",
+    "xgboost.core.STRING_TYPES", "xgboost.core.XGBoostError",
+    "xgboost.core._check_call", "xgboost.core._load_lib",
+    "xgboost.core._maybe_pandas_data", "xgboost.core._maybe_pandas_label",
+    "xgboost.core.c_array", "xgboost.core.c_str",
+    "xgboost.core.ctypes2buffer", "xgboost.core.ctypes2numpy",
+    "xgboost.core.from_cstr_to_pystr", "xgboost.core.from_pystr_to_cstr",
+    "xgboost.cv", "xgboost.f",
+    "xgboost.libpath.XGBoostLibraryNotFound", "xgboost.libpath.find_lib_path",
+    "xgboost.plot_importance", "xgboost.plot_tree",
+    "xgboost.plotting._EDGEPAT", "xgboost.plotting._EDGEPAT2",
+    "xgboost.plotting._LEAFPAT", "xgboost.plotting._NODEPAT",
+    "xgboost.plotting._parse_edge", "xgboost.plotting._parse_node",
+    "xgboost.plotting.plot_importance", "xgboost.plotting.plot_tree",
+    "xgboost.plotting.to_graphviz", "xgboost.rabit.DTYPE_ENUM__",
+    "xgboost.rabit.STRING_TYPES", "xgboost.rabit._init_rabit",
+    "xgboost.rabit.allreduce", "xgboost.rabit.broadcast",
+    "xgboost.rabit.finalize", "xgboost.rabit.get_processor_name",
+    "xgboost.rabit.get_rank", "xgboost.rabit.get_world_size",
+    "xgboost.rabit.init", "xgboost.rabit.tracker_print",
+    "xgboost.rabit.version_number", "xgboost.sklearn.SKLEARN_INSTALLED",
+    "xgboost.sklearn.XGBClassifier", "xgboost.sklearn.XGBModel",
+    "xgboost.sklearn.XGBRegressor", "xgboost.sklearn._objective_decorator",
+    "xgboost.to_graphviz", "xgboost.train",
+    "xgboost.training.CVPack", "xgboost.training.SKLEARN_INSTALLED",
+    "xgboost.training.STRING_TYPES", "xgboost.training._train_internal",
+    "xgboost.training.aggcv", "xgboost.training.cv",
+    "xgboost.training.mknfold", "xgboost.training.train"
+  ],
+
+
+  "NUMPY_NAMES": [
+    "numpy.core.multiarray._reconstruct", "numpy.ndarray",
+    "numpy.dtype", "numpy.core.multiarray.scalar",
+    "numpy.random.__RandomState_ctor"
+  ]
+}
\ No newline at end of file
--- a/sk_whitelist.py	Thu Aug 23 16:14:13 2018 -0400
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,757 +0,0 @@
-# class or function names from scikit-learn
-SK_NAMES = (
-    'sklearn._ASSUME_FINITE', 'sklearn._isotonic._inplace_contiguous_isotonic_regression',
-    'sklearn._isotonic._make_unique', 'sklearn.base.BaseEstimator',
-    'sklearn.base.BiclusterMixin', 'sklearn.base.ClassifierMixin',
-    'sklearn.base.ClusterMixin', 'sklearn.base.DensityMixin',
-    'sklearn.base.MetaEstimatorMixin', 'sklearn.base.RegressorMixin',
-    'sklearn.base.TransformerMixin', 'sklearn.base._first_and_last_element',
-    'sklearn.base._pprint', 'sklearn.base.clone',
-    'sklearn.base.is_classifier', 'sklearn.base.is_regressor',
-    'sklearn.clone', 'sklearn.cluster.AffinityPropagation',
-    'sklearn.cluster.AgglomerativeClustering', 'sklearn.cluster.Birch',
-    'sklearn.cluster.DBSCAN', 'sklearn.cluster.FeatureAgglomeration',
-    'sklearn.cluster.KMeans', 'sklearn.cluster.MeanShift',
-    'sklearn.cluster.MiniBatchKMeans', 'sklearn.cluster.SpectralBiclustering',
-    'sklearn.cluster.SpectralClustering', 'sklearn.cluster.SpectralCoclustering',
-    'sklearn.cluster._dbscan_inner.dbscan_inner', 'sklearn.cluster._feature_agglomeration.AgglomerationTransform',
-    'sklearn.cluster._hierarchical.WeightedEdge', 'sklearn.cluster._hierarchical._get_parents',
-    'sklearn.cluster._hierarchical._hc_get_descendent', 'sklearn.cluster._hierarchical.average_merge',
-    'sklearn.cluster._hierarchical.compute_ward_dist', 'sklearn.cluster._hierarchical.hc_get_heads',
-    'sklearn.cluster._hierarchical.max_merge', 'sklearn.cluster._k_means._assign_labels_array',
-    'sklearn.cluster._k_means._assign_labels_csr', 'sklearn.cluster._k_means._centers_dense',
-    'sklearn.cluster._k_means._centers_sparse', 'sklearn.cluster._k_means._mini_batch_update_csr',
-    'sklearn.cluster._k_means_elkan.k_means_elkan', 'sklearn.cluster.affinity_propagation',
-    'sklearn.cluster.affinity_propagation_.AffinityPropagation', 'sklearn.cluster.affinity_propagation_.affinity_propagation',
-    'sklearn.cluster.bicluster.BaseSpectral', 'sklearn.cluster.bicluster.SpectralBiclustering',
-    'sklearn.cluster.bicluster.SpectralCoclustering', 'sklearn.cluster.bicluster._bistochastic_normalize',
-    'sklearn.cluster.bicluster._log_normalize', 'sklearn.cluster.bicluster._scale_normalize',
-    'sklearn.cluster.birch.Birch', 'sklearn.cluster.birch._CFNode',
-    'sklearn.cluster.birch._CFSubcluster', 'sklearn.cluster.birch._iterate_sparse_X',
-    'sklearn.cluster.birch._split_node', 'sklearn.cluster.dbscan',
-    'sklearn.cluster.dbscan_.DBSCAN', 'sklearn.cluster.dbscan_.dbscan',
-    'sklearn.cluster.estimate_bandwidth', 'sklearn.cluster.get_bin_seeds',
-    'sklearn.cluster.hierarchical.AgglomerativeClustering', 'sklearn.cluster.hierarchical.FeatureAgglomeration',
-    'sklearn.cluster.hierarchical._TREE_BUILDERS', 'sklearn.cluster.hierarchical._average_linkage',
-    'sklearn.cluster.hierarchical._complete_linkage', 'sklearn.cluster.hierarchical._fix_connectivity',
-    'sklearn.cluster.hierarchical._hc_cut', 'sklearn.cluster.hierarchical.linkage_tree',
-    'sklearn.cluster.hierarchical.ward_tree', 'sklearn.cluster.k_means',
-    'sklearn.cluster.k_means_.FLOAT_DTYPES', 'sklearn.cluster.k_means_.KMeans',
-    'sklearn.cluster.k_means_.MiniBatchKMeans', 'sklearn.cluster.k_means_._init_centroids',
-    'sklearn.cluster.k_means_._k_init', 'sklearn.cluster.k_means_._kmeans_single_elkan',
-    'sklearn.cluster.k_means_._kmeans_single_lloyd', 'sklearn.cluster.k_means_._labels_inertia',
-    'sklearn.cluster.k_means_._labels_inertia_precompute_dense', 'sklearn.cluster.k_means_._mini_batch_convergence',
-    'sklearn.cluster.k_means_._mini_batch_step', 'sklearn.cluster.k_means_._tolerance',
-    'sklearn.cluster.k_means_._validate_center_shape', 'sklearn.cluster.k_means_.k_means',
-    'sklearn.cluster.k_means_.string_types', 'sklearn.cluster.linkage_tree',
-    'sklearn.cluster.mean_shift', 'sklearn.cluster.mean_shift_.MeanShift',
-    'sklearn.cluster.mean_shift_._mean_shift_single_seed', 'sklearn.cluster.mean_shift_.estimate_bandwidth',
-    'sklearn.cluster.mean_shift_.get_bin_seeds', 'sklearn.cluster.mean_shift_.mean_shift',
-    'sklearn.cluster.spectral.SpectralClustering', 'sklearn.cluster.spectral.discretize',
-    'sklearn.cluster.spectral.spectral_clustering', 'sklearn.cluster.spectral_clustering',
-    'sklearn.cluster.ward_tree', 'sklearn.config_context',
-    'sklearn.covariance.EllipticEnvelope', 'sklearn.covariance.EmpiricalCovariance',
-    'sklearn.covariance.GraphLasso', 'sklearn.covariance.GraphLassoCV',
-    'sklearn.covariance.LedoitWolf', 'sklearn.covariance.MinCovDet',
-    'sklearn.covariance.OAS', 'sklearn.covariance.ShrunkCovariance',
-    'sklearn.covariance.empirical_covariance', 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance',
-    'sklearn.covariance.empirical_covariance_.empirical_covariance', 'sklearn.covariance.empirical_covariance_.log_likelihood',
-    'sklearn.covariance.fast_mcd', 'sklearn.covariance.graph_lasso',
-    'sklearn.covariance.graph_lasso_.GraphLasso', 'sklearn.covariance.graph_lasso_.GraphLassoCV',
-    'sklearn.covariance.graph_lasso_._dual_gap', 'sklearn.covariance.graph_lasso_._objective',
-    'sklearn.covariance.graph_lasso_.alpha_max', 'sklearn.covariance.graph_lasso_.graph_lasso',
-    'sklearn.covariance.graph_lasso_.graph_lasso_path', 'sklearn.covariance.ledoit_wolf',
-    'sklearn.covariance.ledoit_wolf_shrinkage', 'sklearn.covariance.log_likelihood',
-    'sklearn.covariance.oas', 'sklearn.covariance.outlier_detection.EllipticEnvelope',
-    'sklearn.covariance.robust_covariance.MinCovDet', 'sklearn.covariance.robust_covariance._c_step',
-    'sklearn.covariance.robust_covariance.c_step', 'sklearn.covariance.robust_covariance.fast_mcd',
-    'sklearn.covariance.robust_covariance.select_candidates', 'sklearn.covariance.shrunk_covariance',
-    'sklearn.covariance.shrunk_covariance_.LedoitWolf', 'sklearn.covariance.shrunk_covariance_.OAS',
-    'sklearn.covariance.shrunk_covariance_.ShrunkCovariance', 'sklearn.covariance.shrunk_covariance_.ledoit_wolf',
-    'sklearn.covariance.shrunk_covariance_.ledoit_wolf_shrinkage', 'sklearn.covariance.shrunk_covariance_.oas',
-    'sklearn.covariance.shrunk_covariance_.shrunk_covariance', 'sklearn.decomposition.DictionaryLearning',
-    'sklearn.decomposition.FactorAnalysis', 'sklearn.decomposition.FastICA',
-    'sklearn.decomposition.IncrementalPCA', 'sklearn.decomposition.KernelPCA',
-    'sklearn.decomposition.LatentDirichletAllocation', 'sklearn.decomposition.MiniBatchDictionaryLearning',
-    'sklearn.decomposition.MiniBatchSparsePCA', 'sklearn.decomposition.NMF',
-    'sklearn.decomposition.PCA', 'sklearn.decomposition.RandomizedPCA',
-    'sklearn.decomposition.SparseCoder', 'sklearn.decomposition.SparsePCA',
-    'sklearn.decomposition.TruncatedSVD', 'sklearn.decomposition._online_lda._dirichlet_expectation_1d',
-    'sklearn.decomposition._online_lda._dirichlet_expectation_2d', 'sklearn.decomposition._online_lda.mean_change',
-    'sklearn.decomposition.base._BasePCA', 'sklearn.decomposition.cdnmf_fast._update_cdnmf_fast',
-    'sklearn.decomposition.dict_learning', 'sklearn.decomposition.dict_learning_online',
-    'sklearn.decomposition.factor_analysis.FactorAnalysis', 'sklearn.decomposition.fastica',
-    'sklearn.decomposition.fastica_.FLOAT_DTYPES', 'sklearn.decomposition.fastica_.FastICA',
-    'sklearn.decomposition.fastica_._cube', 'sklearn.decomposition.fastica_._exp',
-    'sklearn.decomposition.fastica_._gs_decorrelation', 'sklearn.decomposition.fastica_._ica_def',
-    'sklearn.decomposition.fastica_._ica_par', 'sklearn.decomposition.fastica_._logcosh',
-    'sklearn.decomposition.fastica_._sym_decorrelation', 'sklearn.decomposition.fastica_.fastica',
-    'sklearn.decomposition.fastica_.string_types', 'sklearn.decomposition.incremental_pca.IncrementalPCA',
-    'sklearn.decomposition.kernel_pca.KernelPCA', 'sklearn.decomposition.nmf.EPSILON',
-    'sklearn.decomposition.nmf.INTEGER_TYPES', 'sklearn.decomposition.nmf.NMF',
-    'sklearn.decomposition.nmf._beta_divergence', 'sklearn.decomposition.nmf._beta_loss_to_float',
-    'sklearn.decomposition.nmf._check_init', 'sklearn.decomposition.nmf._check_string_param',
-    'sklearn.decomposition.nmf._compute_regularization', 'sklearn.decomposition.nmf._fit_coordinate_descent',
-    'sklearn.decomposition.nmf._fit_multiplicative_update', 'sklearn.decomposition.nmf._initialize_nmf',
-    'sklearn.decomposition.nmf._multiplicative_update_h', 'sklearn.decomposition.nmf._multiplicative_update_w',
-    'sklearn.decomposition.nmf._special_sparse_dot', 'sklearn.decomposition.nmf._update_coordinate_descent',
-    'sklearn.decomposition.nmf.non_negative_factorization', 'sklearn.decomposition.nmf.norm',
-    'sklearn.decomposition.nmf.trace_dot', 'sklearn.decomposition.non_negative_factorization',
-    'sklearn.decomposition.online_lda.EPS', 'sklearn.decomposition.online_lda.LatentDirichletAllocation',
-    'sklearn.decomposition.online_lda._update_doc_distribution', 'sklearn.decomposition.online_lda.gammaln',
-    'sklearn.decomposition.pca.PCA', 'sklearn.decomposition.pca.RandomizedPCA',
-    'sklearn.decomposition.pca._assess_dimension_', 'sklearn.decomposition.pca._infer_dimension_',
-    'sklearn.decomposition.pca.gammaln', 'sklearn.decomposition.sparse_encode',
-    'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA', 'sklearn.decomposition.sparse_pca.SparsePCA',
-    'sklearn.decomposition.truncated_svd.TruncatedSVD', 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis',
-    'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis', 'sklearn.discriminant_analysis._class_cov',
-    'sklearn.discriminant_analysis._class_means', 'sklearn.discriminant_analysis._cov',
-    'sklearn.discriminant_analysis.string_types', 'sklearn.ensemble.AdaBoostClassifier',
-    'sklearn.ensemble.AdaBoostRegressor', 'sklearn.ensemble.BaggingClassifier',
-    'sklearn.ensemble.BaggingRegressor', 'sklearn.ensemble.BaseEnsemble',
-    'sklearn.ensemble.ExtraTreesClassifier', 'sklearn.ensemble.ExtraTreesRegressor',
-    'sklearn.ensemble.GradientBoostingClassifier', 'sklearn.ensemble.GradientBoostingRegressor',
-    'sklearn.ensemble.IsolationForest', 'sklearn.ensemble.RandomForestClassifier',
-    'sklearn.ensemble.RandomForestRegressor', 'sklearn.ensemble.RandomTreesEmbedding',
-    'sklearn.ensemble.VotingClassifier', 'sklearn.ensemble._gradient_boosting._partial_dependence_tree',
-    'sklearn.ensemble._gradient_boosting._predict_regression_tree_stages_sparse', 'sklearn.ensemble._gradient_boosting._random_sample_mask',
-    'sklearn.ensemble._gradient_boosting.predict_stage', 'sklearn.ensemble._gradient_boosting.predict_stages',
-    'sklearn.ensemble.bagging.BaggingClassifier', 'sklearn.ensemble.bagging.BaggingRegressor',
-    'sklearn.ensemble.bagging.BaseBagging', 'sklearn.ensemble.bagging.MAX_INT',
-    'sklearn.ensemble.bagging._generate_bagging_indices', 'sklearn.ensemble.bagging._generate_indices',
-    'sklearn.ensemble.bagging._parallel_build_estimators', 'sklearn.ensemble.bagging._parallel_decision_function',
-    'sklearn.ensemble.bagging._parallel_predict_log_proba', 'sklearn.ensemble.bagging._parallel_predict_proba',
-    'sklearn.ensemble.bagging._parallel_predict_regression', 'sklearn.ensemble.base.BaseEnsemble',
-    'sklearn.ensemble.base.MAX_RAND_SEED', 'sklearn.ensemble.base._partition_estimators',
-    'sklearn.ensemble.base._set_random_states', 'sklearn.ensemble.forest.BaseForest',
-    'sklearn.ensemble.forest.ExtraTreesClassifier', 'sklearn.ensemble.forest.ExtraTreesRegressor',
-    'sklearn.ensemble.forest.ForestClassifier', 'sklearn.ensemble.forest.ForestRegressor',
-    'sklearn.ensemble.forest.MAX_INT', 'sklearn.ensemble.forest.RandomForestClassifier',
-    'sklearn.ensemble.forest.RandomForestRegressor', 'sklearn.ensemble.forest.RandomTreesEmbedding',
-    'sklearn.ensemble.forest._generate_sample_indices', 'sklearn.ensemble.forest._generate_unsampled_indices',
-    'sklearn.ensemble.forest._parallel_build_trees', 'sklearn.ensemble.forest.accumulate_prediction',
-    'sklearn.ensemble.gradient_boosting.BaseGradientBoosting', 'sklearn.ensemble.gradient_boosting.BinomialDeviance',
-    'sklearn.ensemble.gradient_boosting.ClassificationLossFunction', 'sklearn.ensemble.gradient_boosting.ExponentialLoss',
-    'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier', 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor',
-    'sklearn.ensemble.gradient_boosting.HuberLossFunction', 'sklearn.ensemble.gradient_boosting.INIT_ESTIMATORS',
-    'sklearn.ensemble.gradient_boosting.LOSS_FUNCTIONS', 'sklearn.ensemble.gradient_boosting.LeastAbsoluteError',
-    'sklearn.ensemble.gradient_boosting.LeastSquaresError', 'sklearn.ensemble.gradient_boosting.LogOddsEstimator',
-    'sklearn.ensemble.gradient_boosting.LossFunction', 'sklearn.ensemble.gradient_boosting.MeanEstimator',
-    'sklearn.ensemble.gradient_boosting.MultinomialDeviance', 'sklearn.ensemble.gradient_boosting.PriorProbabilityEstimator',
-    'sklearn.ensemble.gradient_boosting.QuantileEstimator', 'sklearn.ensemble.gradient_boosting.QuantileLossFunction',
-    'sklearn.ensemble.gradient_boosting.RegressionLossFunction', 'sklearn.ensemble.gradient_boosting.ScaledLogOddsEstimator',
-    'sklearn.ensemble.gradient_boosting.TREE_LEAF', 'sklearn.ensemble.gradient_boosting.VerboseReporter',
-    'sklearn.ensemble.gradient_boosting.ZeroEstimator', 'sklearn.ensemble.gradient_boosting.expit',
-    'sklearn.ensemble.iforest.INTEGER_TYPES', 'sklearn.ensemble.iforest.IsolationForest',
-    'sklearn.ensemble.iforest._average_path_length', 'sklearn.ensemble.iforest.euler_gamma',
-    'sklearn.ensemble.partial_dependence._grid_from_X', 'sklearn.ensemble.partial_dependence.partial_dependence',
-    'sklearn.ensemble.partial_dependence.plot_partial_dependence', 'sklearn.ensemble.voting_classifier.VotingClassifier',
-    'sklearn.ensemble.voting_classifier._parallel_fit_estimator', 'sklearn.ensemble.weight_boosting.AdaBoostClassifier',
-    'sklearn.ensemble.weight_boosting.AdaBoostRegressor', 'sklearn.ensemble.weight_boosting.BaseWeightBoosting',
-    'sklearn.ensemble.weight_boosting._samme_proba', 'sklearn.ensemble.weight_boosting.inner1d',
-    'sklearn.feature_extraction.DictVectorizer', 'sklearn.feature_extraction.FeatureHasher',
-    'sklearn.feature_extraction._hashing.transform', 'sklearn.feature_extraction.dict_vectorizer.DictVectorizer',
-    'sklearn.feature_extraction.dict_vectorizer._tosequence', 'sklearn.feature_extraction.grid_to_graph',
-    'sklearn.feature_extraction.hashing.FeatureHasher', 'sklearn.feature_extraction.hashing._iteritems',
-    'sklearn.feature_extraction.image.PatchExtractor', 'sklearn.feature_extraction.image._compute_gradient_3d',
-    'sklearn.feature_extraction.image._compute_n_patches', 'sklearn.feature_extraction.image._make_edges_3d',
-    'sklearn.feature_extraction.image._mask_edges_weights', 'sklearn.feature_extraction.image._to_graph',
-    'sklearn.feature_extraction.image.extract_patches', 'sklearn.feature_extraction.image.extract_patches_2d',
-    'sklearn.feature_extraction.image.grid_to_graph', 'sklearn.feature_extraction.image.img_to_graph',
-    'sklearn.feature_extraction.image.reconstruct_from_patches_2d', 'sklearn.feature_extraction.img_to_graph',
-    'sklearn.feature_extraction.stop_words.ENGLISH_STOP_WORDS', 'sklearn.feature_extraction.text.CountVectorizer',
-    'sklearn.feature_extraction.text.ENGLISH_STOP_WORDS', 'sklearn.feature_extraction.text.HashingVectorizer',
-    'sklearn.feature_extraction.text.TfidfTransformer', 'sklearn.feature_extraction.text.TfidfVectorizer',
-    'sklearn.feature_extraction.text.VectorizerMixin', 'sklearn.feature_extraction.text._check_stop_list',
-    'sklearn.feature_extraction.text._document_frequency', 'sklearn.feature_extraction.text._make_int_array',
-    'sklearn.feature_extraction.text.strip_accents_ascii', 'sklearn.feature_extraction.text.strip_accents_unicode',
-    'sklearn.feature_extraction.text.strip_tags', 'sklearn.feature_selection.GenericUnivariateSelect',
-    'sklearn.feature_selection.RFE', 'sklearn.feature_selection.RFECV',
-    'sklearn.feature_selection.SelectFdr', 'sklearn.feature_selection.SelectFpr',
-    'sklearn.feature_selection.SelectFromModel', 'sklearn.feature_selection.SelectFwe',
-    'sklearn.feature_selection.SelectKBest', 'sklearn.feature_selection.SelectPercentile',
-    'sklearn.feature_selection.VarianceThreshold', 'sklearn.feature_selection.base.SelectorMixin',
-    'sklearn.feature_selection.chi2', 'sklearn.feature_selection.f_classif',
-    'sklearn.feature_selection.f_oneway', 'sklearn.feature_selection.f_regression',
-    'sklearn.feature_selection.from_model.SelectFromModel', 'sklearn.feature_selection.from_model._calculate_threshold',
-    'sklearn.feature_selection.from_model._get_feature_importances', 'sklearn.feature_selection.mutual_info_._compute_mi',
-    'sklearn.feature_selection.mutual_info_._compute_mi_cc', 'sklearn.feature_selection.mutual_info_._compute_mi_cd',
-    'sklearn.feature_selection.mutual_info_._estimate_mi', 'sklearn.feature_selection.mutual_info_._iterate_columns',
-    'sklearn.feature_selection.mutual_info_.digamma', 'sklearn.feature_selection.mutual_info_.mutual_info_classif',
-    'sklearn.feature_selection.mutual_info_.mutual_info_regression', 'sklearn.feature_selection.mutual_info_classif',
-    'sklearn.feature_selection.mutual_info_regression', 'sklearn.feature_selection.rfe.RFE',
-    'sklearn.feature_selection.rfe.RFECV', 'sklearn.feature_selection.rfe._rfe_single_fit',
-    'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect', 'sklearn.feature_selection.univariate_selection.SelectFdr',
-    'sklearn.feature_selection.univariate_selection.SelectFpr', 'sklearn.feature_selection.univariate_selection.SelectFwe',
-    'sklearn.feature_selection.univariate_selection.SelectKBest', 'sklearn.feature_selection.univariate_selection.SelectPercentile',
-    'sklearn.feature_selection.univariate_selection._BaseFilter', 'sklearn.feature_selection.univariate_selection._chisquare',
-    'sklearn.feature_selection.univariate_selection._clean_nans', 'sklearn.feature_selection.univariate_selection.chi2',
-    'sklearn.feature_selection.univariate_selection.f_classif', 'sklearn.feature_selection.univariate_selection.f_oneway',
-    'sklearn.feature_selection.univariate_selection.f_regression', 'sklearn.feature_selection.variance_threshold.VarianceThreshold',
-    'sklearn.gaussian_process.GaussianProcess', 'sklearn.gaussian_process.GaussianProcessClassifier',
-    'sklearn.gaussian_process.GaussianProcessRegressor', 'sklearn.gaussian_process.correlation_models.absolute_exponential',
-    'sklearn.gaussian_process.correlation_models.cubic', 'sklearn.gaussian_process.correlation_models.generalized_exponential',
-    'sklearn.gaussian_process.correlation_models.linear', 'sklearn.gaussian_process.correlation_models.pure_nugget',
-    'sklearn.gaussian_process.correlation_models.squared_exponential', 'sklearn.gaussian_process.gaussian_process.GaussianProcess',
-    'sklearn.gaussian_process.gaussian_process.MACHINE_EPSILON', 'sklearn.gaussian_process.gaussian_process.l1_cross_distances',
-    'sklearn.gaussian_process.gpc.COEFS', 'sklearn.gaussian_process.gpc.GaussianProcessClassifier',
-    'sklearn.gaussian_process.gpc.LAMBDAS', 'sklearn.gaussian_process.gpc._BinaryGaussianProcessClassifierLaplace',
-    'sklearn.gaussian_process.gpc.erf', 'sklearn.gaussian_process.gpc.expit',
-    'sklearn.gaussian_process.gpr.GaussianProcessRegressor', 'sklearn.gaussian_process.kernels.CompoundKernel',
-    'sklearn.gaussian_process.kernels.ConstantKernel', 'sklearn.gaussian_process.kernels.DotProduct',
-    'sklearn.gaussian_process.kernels.ExpSineSquared', 'sklearn.gaussian_process.kernels.Exponentiation',
-    'sklearn.gaussian_process.kernels.Hyperparameter', 'sklearn.gaussian_process.kernels.Kernel',
-    'sklearn.gaussian_process.kernels.KernelOperator', 'sklearn.gaussian_process.kernels.Matern',
-    'sklearn.gaussian_process.kernels.NormalizedKernelMixin', 'sklearn.gaussian_process.kernels.PairwiseKernel',
-    'sklearn.gaussian_process.kernels.Product', 'sklearn.gaussian_process.kernels.RBF',
-    'sklearn.gaussian_process.kernels.RationalQuadratic', 'sklearn.gaussian_process.kernels.StationaryKernelMixin',
-    'sklearn.gaussian_process.kernels.Sum', 'sklearn.gaussian_process.kernels.WhiteKernel',
-    'sklearn.gaussian_process.kernels._approx_fprime', 'sklearn.gaussian_process.kernels._check_length_scale',
-    'sklearn.gaussian_process.kernels.gamma', 'sklearn.gaussian_process.kernels.kv',
-    'sklearn.gaussian_process.regression_models.constant', 'sklearn.gaussian_process.regression_models.linear',
-    'sklearn.gaussian_process.regression_models.quadratic', 'sklearn.get_config',
-    'sklearn.isotonic.IsotonicRegression', 'sklearn.isotonic.check_increasing',
-    'sklearn.isotonic.isotonic_regression', 'sklearn.kernel_approximation.AdditiveChi2Sampler',
-    'sklearn.kernel_approximation.KERNEL_PARAMS', 'sklearn.kernel_approximation.Nystroem',
-    'sklearn.kernel_approximation.RBFSampler', 'sklearn.kernel_approximation.SkewedChi2Sampler',
-    'sklearn.kernel_ridge.KernelRidge', 'sklearn.linear_model.ARDRegression',
-    'sklearn.linear_model.BayesianRidge', 'sklearn.linear_model.ElasticNet',
-    'sklearn.linear_model.ElasticNetCV', 'sklearn.linear_model.Hinge',
-    'sklearn.linear_model.Huber', 'sklearn.linear_model.HuberRegressor',
-    'sklearn.linear_model.Lars', 'sklearn.linear_model.LarsCV',
-    'sklearn.linear_model.Lasso', 'sklearn.linear_model.LassoCV',
-    'sklearn.linear_model.LassoLars', 'sklearn.linear_model.LassoLarsCV',
-    'sklearn.linear_model.LassoLarsIC', 'sklearn.linear_model.LinearRegression',
-    'sklearn.linear_model.Log', 'sklearn.linear_model.LogisticRegression',
-    'sklearn.linear_model.LogisticRegressionCV', 'sklearn.linear_model.ModifiedHuber',
-    'sklearn.linear_model.MultiTaskElasticNet', 'sklearn.linear_model.MultiTaskElasticNetCV',
-    'sklearn.linear_model.MultiTaskLasso', 'sklearn.linear_model.MultiTaskLassoCV',
-    'sklearn.linear_model.OrthogonalMatchingPursuit', 'sklearn.linear_model.OrthogonalMatchingPursuitCV',
-    'sklearn.linear_model.PassiveAggressiveClassifier', 'sklearn.linear_model.PassiveAggressiveRegressor',
-    'sklearn.linear_model.Perceptron', 'sklearn.linear_model.RANSACRegressor',
-    'sklearn.linear_model.RandomizedLasso', 'sklearn.linear_model.RandomizedLogisticRegression',
-    'sklearn.linear_model.Ridge', 'sklearn.linear_model.RidgeCV',
-    'sklearn.linear_model.RidgeClassifier', 'sklearn.linear_model.RidgeClassifierCV',
-    'sklearn.linear_model.SGDClassifier', 'sklearn.linear_model.SGDRegressor',
-    'sklearn.linear_model.SquaredLoss', 'sklearn.linear_model.TheilSenRegressor',
-    'sklearn.linear_model.base.FLOAT_DTYPES', 'sklearn.linear_model.base.LinearClassifierMixin',
-    'sklearn.linear_model.base.LinearModel', 'sklearn.linear_model.base.LinearRegression',
-    'sklearn.linear_model.base.SPARSE_INTERCEPT_DECAY', 'sklearn.linear_model.base.SparseCoefMixin',
-    'sklearn.linear_model.base._pre_fit', 'sklearn.linear_model.base._preprocess_data',
-    'sklearn.linear_model.base._rescale_data', 'sklearn.linear_model.base.center_data',
-    'sklearn.linear_model.base.make_dataset', 'sklearn.linear_model.base.sparse_center_data',
-    'sklearn.linear_model.bayes.ARDRegression', 'sklearn.linear_model.bayes.BayesianRidge',
-    'sklearn.linear_model.cd_fast.enet_coordinate_descent', 'sklearn.linear_model.cd_fast.enet_coordinate_descent_gram',
-    'sklearn.linear_model.cd_fast.enet_coordinate_descent_multi_task', 'sklearn.linear_model.cd_fast.sparse_enet_coordinate_descent',
-    'sklearn.linear_model.coordinate_descent.ElasticNet', 'sklearn.linear_model.coordinate_descent.ElasticNetCV',
-    'sklearn.linear_model.coordinate_descent.Lasso', 'sklearn.linear_model.coordinate_descent.LassoCV',
-    'sklearn.linear_model.coordinate_descent.LinearModelCV', 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet',
-    'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV', 'sklearn.linear_model.coordinate_descent.MultiTaskLasso',
-    'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV', 'sklearn.linear_model.coordinate_descent._alpha_grid',
-    'sklearn.linear_model.coordinate_descent._path_residuals', 'sklearn.linear_model.coordinate_descent.enet_path',
-    'sklearn.linear_model.coordinate_descent.lasso_path', 'sklearn.linear_model.enet_path',
-    'sklearn.linear_model.huber.HuberRegressor', 'sklearn.linear_model.huber._huber_loss_and_gradient',
-    'sklearn.linear_model.lars_path', 'sklearn.linear_model.lasso_path',
-    'sklearn.linear_model.lasso_stability_path', 'sklearn.linear_model.least_angle.Lars',
-    'sklearn.linear_model.least_angle.LarsCV', 'sklearn.linear_model.least_angle.LassoLars',
-    'sklearn.linear_model.least_angle.LassoLarsCV', 'sklearn.linear_model.least_angle.LassoLarsIC',
-    'sklearn.linear_model.least_angle._check_copy_and_writeable', 'sklearn.linear_model.least_angle._lars_path_residues',
-    'sklearn.linear_model.least_angle.lars_path', 'sklearn.linear_model.least_angle.solve_triangular_args',
-    'sklearn.linear_model.least_angle.string_types', 'sklearn.linear_model.logistic.LogisticRegression',
-    'sklearn.linear_model.logistic.LogisticRegressionCV', 'sklearn.linear_model.logistic.SCORERS',
-    'sklearn.linear_model.logistic._check_solver_option', 'sklearn.linear_model.logistic._intercept_dot',
-    'sklearn.linear_model.logistic._log_reg_scoring_path', 'sklearn.linear_model.logistic._logistic_grad_hess',
-    'sklearn.linear_model.logistic._logistic_loss', 'sklearn.linear_model.logistic._logistic_loss_and_grad',
-    'sklearn.linear_model.logistic._multinomial_grad_hess', 'sklearn.linear_model.logistic._multinomial_loss',
-    'sklearn.linear_model.logistic._multinomial_loss_grad', 'sklearn.linear_model.logistic.expit',
-    'sklearn.linear_model.logistic.logistic_regression_path', 'sklearn.linear_model.logistic_regression_path',
-    'sklearn.linear_model.omp.OrthogonalMatchingPursuit', 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV',
-    'sklearn.linear_model.omp._cholesky_omp', 'sklearn.linear_model.omp._gram_omp',
-    'sklearn.linear_model.omp._omp_path_residues', 'sklearn.linear_model.omp.orthogonal_mp',
-    'sklearn.linear_model.omp.orthogonal_mp_gram', 'sklearn.linear_model.omp.premature',
-    'sklearn.linear_model.omp.solve_triangular_args', 'sklearn.linear_model.orthogonal_mp',
-    'sklearn.linear_model.orthogonal_mp_gram', 'sklearn.linear_model.passive_aggressive.DEFAULT_EPSILON',
-    'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier', 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor',
-    'sklearn.linear_model.perceptron.Perceptron', 'sklearn.linear_model.randomized_l1.BaseRandomizedLinearModel',
-    'sklearn.linear_model.randomized_l1.RandomizedLasso', 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression',
-    'sklearn.linear_model.randomized_l1._lasso_stability_path', 'sklearn.linear_model.randomized_l1._randomized_lasso',
-    'sklearn.linear_model.randomized_l1._randomized_logistic', 'sklearn.linear_model.randomized_l1._resample_model',
-    'sklearn.linear_model.randomized_l1.lasso_stability_path', 'sklearn.linear_model.ransac.RANSACRegressor',
-    'sklearn.linear_model.ransac._EPSILON', 'sklearn.linear_model.ransac._dynamic_max_trials',
-    'sklearn.linear_model.ridge.Ridge', 'sklearn.linear_model.ridge.RidgeCV',
-    'sklearn.linear_model.ridge.RidgeClassifier', 'sklearn.linear_model.ridge.RidgeClassifierCV',
-    'sklearn.linear_model.ridge._BaseRidge', 'sklearn.linear_model.ridge._BaseRidgeCV',
-    'sklearn.linear_model.ridge._RidgeGCV', 'sklearn.linear_model.ridge._solve_cholesky',
-    'sklearn.linear_model.ridge._solve_cholesky_kernel', 'sklearn.linear_model.ridge._solve_lsqr',
-    'sklearn.linear_model.ridge._solve_sparse_cg', 'sklearn.linear_model.ridge._solve_svd',
-    'sklearn.linear_model.ridge.ridge_regression', 'sklearn.linear_model.ridge_regression',
-    'sklearn.linear_model.sag.get_auto_step_size', 'sklearn.linear_model.sag.sag',
-    'sklearn.linear_model.sag.sag_solver', 'sklearn.linear_model.sag_fast.MultinomialLogLoss',
-    'sklearn.linear_model.sag_fast._multinomial_grad_loss_all_samples', 'sklearn.linear_model.sag_fast.sag',
-    'sklearn.linear_model.sgd_fast.Classification', 'sklearn.linear_model.sgd_fast.EpsilonInsensitive',
-    'sklearn.linear_model.sgd_fast.Hinge', 'sklearn.linear_model.sgd_fast.Huber',
-    'sklearn.linear_model.sgd_fast.Log', 'sklearn.linear_model.sgd_fast.LossFunction',
-    'sklearn.linear_model.sgd_fast.ModifiedHuber', 'sklearn.linear_model.sgd_fast.Regression',
-    'sklearn.linear_model.sgd_fast.SquaredEpsilonInsensitive', 'sklearn.linear_model.sgd_fast.SquaredHinge',
-    'sklearn.linear_model.sgd_fast.SquaredLoss', 'sklearn.linear_model.sgd_fast._plain_sgd',
-    'sklearn.linear_model.sgd_fast.average_sgd', 'sklearn.linear_model.sgd_fast.plain_sgd',
-    'sklearn.linear_model.stochastic_gradient.BaseSGD', 'sklearn.linear_model.stochastic_gradient.BaseSGDClassifier',
-    'sklearn.linear_model.stochastic_gradient.BaseSGDRegressor', 'sklearn.linear_model.stochastic_gradient.DEFAULT_EPSILON',
-    'sklearn.linear_model.stochastic_gradient.LEARNING_RATE_TYPES', 'sklearn.linear_model.stochastic_gradient.PENALTY_TYPES',
-    'sklearn.linear_model.stochastic_gradient.SGDClassifier', 'sklearn.linear_model.stochastic_gradient.SGDRegressor',
-    'sklearn.linear_model.stochastic_gradient._prepare_fit_binary', 'sklearn.linear_model.stochastic_gradient.fit_binary',
-    'sklearn.linear_model.theil_sen.TheilSenRegressor', 'sklearn.linear_model.theil_sen._EPSILON',
-    'sklearn.linear_model.theil_sen._breakdown_point', 'sklearn.linear_model.theil_sen._lstsq',
-    'sklearn.linear_model.theil_sen._modified_weiszfeld_step', 'sklearn.linear_model.theil_sen._spatial_median',
-    'sklearn.linear_model.theil_sen.binom', 'sklearn.manifold.Isomap',
-    'sklearn.manifold.LocallyLinearEmbedding', 'sklearn.manifold.MDS',
-    'sklearn.manifold.SpectralEmbedding', 'sklearn.manifold.TSNE',
-    'sklearn.manifold._barnes_hut_tsne.gradient', 'sklearn.manifold._utils._binary_search_perplexity',
-    'sklearn.manifold.isomap.Isomap', 'sklearn.manifold.locally_linear.FLOAT_DTYPES',
-    'sklearn.manifold.locally_linear.LocallyLinearEmbedding', 'sklearn.manifold.locally_linear.barycenter_kneighbors_graph',
-    'sklearn.manifold.locally_linear.barycenter_weights', 'sklearn.manifold.locally_linear.locally_linear_embedding',
-    'sklearn.manifold.locally_linear.null_space', 'sklearn.manifold.locally_linear_embedding',
-    'sklearn.manifold.mds.MDS', 'sklearn.manifold.mds._smacof_single',
-    'sklearn.manifold.mds.smacof', 'sklearn.manifold.smacof',
-    'sklearn.manifold.spectral_embedding', 'sklearn.manifold.spectral_embedding_.SpectralEmbedding',
-    'sklearn.manifold.spectral_embedding_._graph_connected_component', 'sklearn.manifold.spectral_embedding_._graph_is_connected',
-    'sklearn.manifold.spectral_embedding_._set_diag', 'sklearn.manifold.spectral_embedding_.spectral_embedding',
-    'sklearn.manifold.t_sne.MACHINE_EPSILON', 'sklearn.manifold.t_sne.TSNE',
-    'sklearn.manifold.t_sne._gradient_descent', 'sklearn.manifold.t_sne._joint_probabilities',
-    'sklearn.manifold.t_sne._joint_probabilities_nn', 'sklearn.manifold.t_sne._kl_divergence',
-    'sklearn.manifold.t_sne._kl_divergence_bh', 'sklearn.manifold.t_sne.string_types',
-    'sklearn.manifold.t_sne.trustworthiness', 'sklearn.metrics.SCORERS',
-    'sklearn.metrics.accuracy_score', 'sklearn.metrics.adjusted_mutual_info_score',
-    'sklearn.metrics.adjusted_rand_score', 'sklearn.metrics.auc',
-    'sklearn.metrics.average_precision_score', 'sklearn.metrics.base._average_binary_score',
-    'sklearn.metrics.brier_score_loss', 'sklearn.metrics.calinski_harabaz_score',
-    'sklearn.metrics.classification._check_binary_probabilistic_predictions', 'sklearn.metrics.classification._check_targets',
-    'sklearn.metrics.classification._prf_divide', 'sklearn.metrics.classification._weighted_sum',
-    'sklearn.metrics.classification.accuracy_score', 'sklearn.metrics.classification.brier_score_loss',
-    'sklearn.metrics.classification.classification_report', 'sklearn.metrics.classification.cohen_kappa_score',
-    'sklearn.metrics.classification.confusion_matrix', 'sklearn.metrics.classification.f1_score',
-    'sklearn.metrics.classification.fbeta_score', 'sklearn.metrics.classification.hamming_loss',
-    'sklearn.metrics.classification.hinge_loss', 'sklearn.metrics.classification.jaccard_similarity_score',
-    'sklearn.metrics.classification.log_loss', 'sklearn.metrics.classification.matthews_corrcoef',
-    'sklearn.metrics.classification.precision_recall_fscore_support', 'sklearn.metrics.classification.precision_score',
-    'sklearn.metrics.classification.recall_score', 'sklearn.metrics.classification.zero_one_loss',
-    'sklearn.metrics.classification_report', 'sklearn.metrics.cluster.adjusted_mutual_info_score',
-    'sklearn.metrics.cluster.adjusted_rand_score', 'sklearn.metrics.cluster.bicluster._check_rows_and_columns',
-    'sklearn.metrics.cluster.bicluster._jaccard', 'sklearn.metrics.cluster.bicluster._pairwise_similarity',
-    'sklearn.metrics.cluster.bicluster.consensus_score', 'sklearn.metrics.cluster.calinski_harabaz_score',
-    'sklearn.metrics.cluster.completeness_score', 'sklearn.metrics.cluster.consensus_score',
-    'sklearn.metrics.cluster.contingency_matrix', 'sklearn.metrics.cluster.entropy',
-    'sklearn.metrics.cluster.expected_mutual_info_fast.expected_mutual_information', 'sklearn.metrics.cluster.expected_mutual_info_fast.gammaln',
-    'sklearn.metrics.cluster.expected_mutual_information', 'sklearn.metrics.cluster.fowlkes_mallows_score',
-    'sklearn.metrics.cluster.homogeneity_completeness_v_measure', 'sklearn.metrics.cluster.homogeneity_score',
-    'sklearn.metrics.cluster.mutual_info_score', 'sklearn.metrics.cluster.normalized_mutual_info_score',
-    'sklearn.metrics.cluster.silhouette_samples', 'sklearn.metrics.cluster.silhouette_score',
-    'sklearn.metrics.cluster.supervised.adjusted_mutual_info_score', 'sklearn.metrics.cluster.supervised.adjusted_rand_score',
-    'sklearn.metrics.cluster.supervised.check_clusterings', 'sklearn.metrics.cluster.supervised.comb2',
-    'sklearn.metrics.cluster.supervised.completeness_score', 'sklearn.metrics.cluster.supervised.contingency_matrix',
-    'sklearn.metrics.cluster.supervised.entropy', 'sklearn.metrics.cluster.supervised.fowlkes_mallows_score',
-    'sklearn.metrics.cluster.supervised.homogeneity_completeness_v_measure', 'sklearn.metrics.cluster.supervised.homogeneity_score',
-    'sklearn.metrics.cluster.supervised.mutual_info_score', 'sklearn.metrics.cluster.supervised.normalized_mutual_info_score',
-    'sklearn.metrics.cluster.supervised.v_measure_score', 'sklearn.metrics.cluster.unsupervised.calinski_harabaz_score',
-    'sklearn.metrics.cluster.unsupervised.check_number_of_labels', 'sklearn.metrics.cluster.unsupervised.silhouette_samples',
-    'sklearn.metrics.cluster.unsupervised.silhouette_score', 'sklearn.metrics.cluster.v_measure_score',
-    'sklearn.metrics.cohen_kappa_score', 'sklearn.metrics.completeness_score',
-    'sklearn.metrics.confusion_matrix', 'sklearn.metrics.consensus_score',
-    'sklearn.metrics.coverage_error', 'sklearn.metrics.euclidean_distances',
-    'sklearn.metrics.explained_variance_score', 'sklearn.metrics.f1_score',
-    'sklearn.metrics.fbeta_score', 'sklearn.metrics.fowlkes_mallows_score',
-    'sklearn.metrics.get_scorer', 'sklearn.metrics.hamming_loss',
-    'sklearn.metrics.hinge_loss', 'sklearn.metrics.homogeneity_completeness_v_measure',
-    'sklearn.metrics.homogeneity_score', 'sklearn.metrics.jaccard_similarity_score',
-    'sklearn.metrics.label_ranking_average_precision_score', 'sklearn.metrics.label_ranking_loss',
-    'sklearn.metrics.log_loss', 'sklearn.metrics.make_scorer',
-    'sklearn.metrics.matthews_corrcoef', 'sklearn.metrics.mean_absolute_error',
-    'sklearn.metrics.mean_squared_error', 'sklearn.metrics.mean_squared_log_error',
-    'sklearn.metrics.median_absolute_error', 'sklearn.metrics.mutual_info_score',
-    'sklearn.metrics.normalized_mutual_info_score', 'sklearn.metrics.pairwise.KERNEL_PARAMS',
-    'sklearn.metrics.pairwise.PAIRED_DISTANCES', 'sklearn.metrics.pairwise.PAIRWISE_BOOLEAN_FUNCTIONS',
-    'sklearn.metrics.pairwise.PAIRWISE_DISTANCE_FUNCTIONS', 'sklearn.metrics.pairwise.PAIRWISE_KERNEL_FUNCTIONS',
-    'sklearn.metrics.pairwise._VALID_METRICS', 'sklearn.metrics.pairwise._chi2_kernel_fast',
-    'sklearn.metrics.pairwise._pairwise_callable', 'sklearn.metrics.pairwise._parallel_pairwise',
-    'sklearn.metrics.pairwise._return_float_dtype', 'sklearn.metrics.pairwise._sparse_manhattan',
-    'sklearn.metrics.pairwise.additive_chi2_kernel', 'sklearn.metrics.pairwise.check_paired_arrays',
-    'sklearn.metrics.pairwise.check_pairwise_arrays', 'sklearn.metrics.pairwise.chi2_kernel',
-    'sklearn.metrics.pairwise.cosine_distances', 'sklearn.metrics.pairwise.cosine_similarity',
-    'sklearn.metrics.pairwise.distance_metrics', 'sklearn.metrics.pairwise.euclidean_distances',
-    'sklearn.metrics.pairwise.kernel_metrics', 'sklearn.metrics.pairwise.laplacian_kernel',
-    'sklearn.metrics.pairwise.linear_kernel', 'sklearn.metrics.pairwise.manhattan_distances',
-    'sklearn.metrics.pairwise.paired_cosine_distances', 'sklearn.metrics.pairwise.paired_distances',
-    'sklearn.metrics.pairwise.paired_euclidean_distances', 'sklearn.metrics.pairwise.paired_manhattan_distances',
-    'sklearn.metrics.pairwise.pairwise_distances', 'sklearn.metrics.pairwise.pairwise_distances_argmin',
-    'sklearn.metrics.pairwise.pairwise_distances_argmin_min', 'sklearn.metrics.pairwise.pairwise_kernels',
-    'sklearn.metrics.pairwise.polynomial_kernel', 'sklearn.metrics.pairwise.rbf_kernel',
-    'sklearn.metrics.pairwise.sigmoid_kernel', 'sklearn.metrics.pairwise_distances',
-    'sklearn.metrics.pairwise_distances_argmin', 'sklearn.metrics.pairwise_distances_argmin_min',
-    'sklearn.metrics.pairwise_fast._chi2_kernel_fast', 'sklearn.metrics.pairwise_fast._sparse_manhattan',
-    'sklearn.metrics.pairwise_kernels', 'sklearn.metrics.precision_recall_curve',
-    'sklearn.metrics.precision_recall_fscore_support', 'sklearn.metrics.precision_score',
-    'sklearn.metrics.r2_score', 'sklearn.metrics.ranking._binary_clf_curve',
-    'sklearn.metrics.ranking.auc', 'sklearn.metrics.ranking.average_precision_score',
-    'sklearn.metrics.ranking.coverage_error', 'sklearn.metrics.ranking.label_ranking_average_precision_score',
-    'sklearn.metrics.ranking.label_ranking_loss', 'sklearn.metrics.ranking.precision_recall_curve',
-    'sklearn.metrics.ranking.roc_auc_score', 'sklearn.metrics.ranking.roc_curve',
-    'sklearn.metrics.recall_score', 'sklearn.metrics.regression._check_reg_targets',
-    'sklearn.metrics.regression.explained_variance_score', 'sklearn.metrics.regression.mean_absolute_error',
-    'sklearn.metrics.regression.mean_squared_error', 'sklearn.metrics.regression.mean_squared_log_error',
-    'sklearn.metrics.regression.median_absolute_error', 'sklearn.metrics.regression.r2_score',
-    'sklearn.metrics.regression.string_types', 'sklearn.metrics.roc_auc_score',
-    'sklearn.metrics.roc_curve', 'sklearn.metrics.scorer.SCORERS',
-    'sklearn.metrics.scorer._BaseScorer', 'sklearn.metrics.scorer._PredictScorer',
-    'sklearn.metrics.scorer._ProbaScorer', 'sklearn.metrics.scorer._ThresholdScorer',
-    'sklearn.metrics.scorer._check_multimetric_scoring', 'sklearn.metrics.scorer._passthrough_scorer',
-    'sklearn.metrics.scorer.accuracy_scorer', 'sklearn.metrics.scorer.adjusted_mutual_info_scorer',
-    'sklearn.metrics.scorer.adjusted_rand_scorer', 'sklearn.metrics.scorer.average',
-    'sklearn.metrics.scorer.average_precision_scorer', 'sklearn.metrics.scorer.check_scoring',
-    'sklearn.metrics.scorer.completeness_scorer', 'sklearn.metrics.scorer.deprecation_msg',
-    'sklearn.metrics.scorer.explained_variance_scorer', 'sklearn.metrics.scorer.f1_scorer',
-    'sklearn.metrics.scorer.fowlkes_mallows_scorer', 'sklearn.metrics.scorer.get_scorer',
-    'sklearn.metrics.scorer.homogeneity_scorer', 'sklearn.metrics.scorer.log_loss_scorer',
-    'sklearn.metrics.scorer.make_scorer', 'sklearn.metrics.scorer.mean_absolute_error_scorer',
-    'sklearn.metrics.scorer.mean_squared_error_scorer', 'sklearn.metrics.scorer.median_absolute_error_scorer',
-    'sklearn.metrics.scorer.mutual_info_scorer', 'sklearn.metrics.scorer.name',
-    'sklearn.metrics.scorer.neg_log_loss_scorer', 'sklearn.metrics.scorer.neg_mean_absolute_error_scorer',
-    'sklearn.metrics.scorer.neg_mean_squared_error_scorer', 'sklearn.metrics.scorer.neg_mean_squared_log_error_scorer',
-    'sklearn.metrics.scorer.neg_median_absolute_error_scorer', 'sklearn.metrics.scorer.normalized_mutual_info_scorer',
-    'sklearn.metrics.scorer.precision_scorer', 'sklearn.metrics.scorer.qualified_name',
-    'sklearn.metrics.scorer.r2_scorer', 'sklearn.metrics.scorer.recall_scorer',
-    'sklearn.metrics.scorer.roc_auc_scorer', 'sklearn.metrics.scorer.v_measure_scorer',
-    'sklearn.metrics.silhouette_samples', 'sklearn.metrics.silhouette_score',
-    'sklearn.metrics.v_measure_score', 'sklearn.metrics.zero_one_loss',
-    'sklearn.model_selection.BaseCrossValidator', 'sklearn.model_selection.GridSearchCV',
-    'sklearn.model_selection.GroupKFold', 'sklearn.model_selection.GroupShuffleSplit',
-    'sklearn.model_selection.KFold', 'sklearn.model_selection.LeaveOneGroupOut',
-    'sklearn.model_selection.LeaveOneOut', 'sklearn.model_selection.LeavePGroupsOut',
-    'sklearn.model_selection.LeavePOut', 'sklearn.model_selection.ParameterGrid',
-    'sklearn.model_selection.ParameterSampler', 'sklearn.model_selection.PredefinedSplit',
-    'sklearn.model_selection.RandomizedSearchCV', 'sklearn.model_selection.RepeatedKFold',
-    'sklearn.model_selection.RepeatedStratifiedKFold', 'sklearn.model_selection.ShuffleSplit',
-    'sklearn.model_selection.StratifiedKFold', 'sklearn.model_selection.StratifiedShuffleSplit',
-    'sklearn.model_selection.TimeSeriesSplit', 'sklearn.model_selection._search.BaseSearchCV',
-    'sklearn.model_selection._search.GridSearchCV', 'sklearn.model_selection._search.ParameterGrid',
-    'sklearn.model_selection._search.ParameterSampler', 'sklearn.model_selection._search.RandomizedSearchCV',
-    'sklearn.model_selection._search._CVScoreTuple', 'sklearn.model_selection._search._check_param_grid',
-    'sklearn.model_selection._search.fit_grid_point', 'sklearn.model_selection._search.sp_version',
-    'sklearn.model_selection._split.BaseCrossValidator', 'sklearn.model_selection._split.BaseShuffleSplit',
-    'sklearn.model_selection._split.GroupKFold', 'sklearn.model_selection._split.GroupShuffleSplit',
-    'sklearn.model_selection._split.KFold', 'sklearn.model_selection._split.LeaveOneGroupOut',
-    'sklearn.model_selection._split.LeaveOneOut', 'sklearn.model_selection._split.LeavePGroupsOut',
-    'sklearn.model_selection._split.LeavePOut', 'sklearn.model_selection._split.PredefinedSplit',
-    'sklearn.model_selection._split.RepeatedKFold', 'sklearn.model_selection._split.RepeatedStratifiedKFold',
-    'sklearn.model_selection._split.ShuffleSplit', 'sklearn.model_selection._split.StratifiedKFold',
-    'sklearn.model_selection._split.StratifiedShuffleSplit', 'sklearn.model_selection._split.TimeSeriesSplit',
-    'sklearn.model_selection._split._BaseKFold', 'sklearn.model_selection._split._CVIterableWrapper',
-    'sklearn.model_selection._split._RepeatedSplits', 'sklearn.model_selection._split._approximate_mode',
-    'sklearn.model_selection._split._build_repr', 'sklearn.model_selection._split._validate_shuffle_split',
-    'sklearn.model_selection._split._validate_shuffle_split_init', 'sklearn.model_selection._split.check_cv',
-    'sklearn.model_selection._split.train_test_split', 'sklearn.model_selection._validation._aggregate_score_dicts',
-    'sklearn.model_selection._validation._check_is_permutation', 'sklearn.model_selection._validation._fit_and_predict',
-    'sklearn.model_selection._validation._fit_and_score', 'sklearn.model_selection._validation._incremental_fit_estimator',
-    'sklearn.model_selection._validation._index_param_value', 'sklearn.model_selection._validation._multimetric_score',
-    'sklearn.model_selection._validation._permutation_test_score', 'sklearn.model_selection._validation._score',
-    'sklearn.model_selection._validation._shuffle', 'sklearn.model_selection._validation._translate_train_sizes',
-    'sklearn.model_selection._validation.cross_val_predict', 'sklearn.model_selection._validation.cross_val_score',
-    'sklearn.model_selection._validation.cross_validate', 'sklearn.model_selection._validation.learning_curve',
-    'sklearn.model_selection._validation.permutation_test_score', 'sklearn.model_selection._validation.validation_curve',
-    'sklearn.model_selection.check_cv', 'sklearn.model_selection.cross_val_predict',
-    'sklearn.model_selection.cross_val_score', 'sklearn.model_selection.cross_validate',
-    'sklearn.model_selection.fit_grid_point', 'sklearn.model_selection.learning_curve',
-    'sklearn.model_selection.permutation_test_score', 'sklearn.model_selection.train_test_split',
-    'sklearn.model_selection.validation_curve', 'sklearn.multiclass.OneVsOneClassifier',
-    'sklearn.multiclass.OneVsRestClassifier', 'sklearn.multiclass.OutputCodeClassifier',
-    'sklearn.multiclass._ConstantPredictor', 'sklearn.multiclass._check_estimator',
-    'sklearn.multiclass._fit_binary', 'sklearn.multiclass._fit_ovo_binary',
-    'sklearn.multiclass._partial_fit_binary', 'sklearn.multiclass._partial_fit_ovo_binary',
-    'sklearn.multiclass._predict_binary', 'sklearn.naive_bayes.BaseDiscreteNB',
-    'sklearn.naive_bayes.BaseNB', 'sklearn.naive_bayes.BernoulliNB',
-    'sklearn.naive_bayes.GaussianNB', 'sklearn.naive_bayes.MultinomialNB',
-    'sklearn.naive_bayes._ALPHA_MIN', 'sklearn.neighbors.BallTree',
-    'sklearn.neighbors.DistanceMetric', 'sklearn.neighbors.KDTree',
-    'sklearn.neighbors.KNeighborsClassifier', 'sklearn.neighbors.KNeighborsRegressor',
-    'sklearn.neighbors.KernelDensity', 'sklearn.neighbors.LSHForest',
-    'sklearn.neighbors.LocalOutlierFactor', 'sklearn.neighbors.NearestCentroid',
-    'sklearn.neighbors.NearestNeighbors', 'sklearn.neighbors.RadiusNeighborsClassifier',
-    'sklearn.neighbors.RadiusNeighborsRegressor', 'sklearn.neighbors.approximate.GaussianRandomProjectionHash',
-    'sklearn.neighbors.approximate.HASH_DTYPE', 'sklearn.neighbors.approximate.LSHForest',
-    'sklearn.neighbors.approximate.MAX_HASH_SIZE', 'sklearn.neighbors.approximate.ProjectionToHashMixin',
-    'sklearn.neighbors.approximate._array_of_arrays', 'sklearn.neighbors.approximate._find_longest_prefix_match',
-    'sklearn.neighbors.approximate._find_matching_indices', 'sklearn.neighbors.ball_tree.BallTree',
-    'sklearn.neighbors.ball_tree.BinaryTree', 'sklearn.neighbors.ball_tree.CLASS_DOC',
-    'sklearn.neighbors.ball_tree.DOC_DICT', 'sklearn.neighbors.ball_tree.NeighborsHeap',
-    'sklearn.neighbors.ball_tree.NodeData', 'sklearn.neighbors.ball_tree.NodeHeap',
-    'sklearn.neighbors.ball_tree.NodeHeapData', 'sklearn.neighbors.ball_tree.VALID_METRICS',
-    'sklearn.neighbors.ball_tree.VALID_METRIC_IDS', 'sklearn.neighbors.ball_tree.kernel_norm',
-    'sklearn.neighbors.ball_tree.load_heap', 'sklearn.neighbors.ball_tree.newObj',
-    'sklearn.neighbors.ball_tree.nodeheap_sort', 'sklearn.neighbors.ball_tree.offsets',
-    'sklearn.neighbors.ball_tree.simultaneous_sort', 'sklearn.neighbors.base.KNeighborsMixin',
-    'sklearn.neighbors.base.NeighborsBase', 'sklearn.neighbors.base.PAIRWISE_DISTANCE_FUNCTIONS',
-    'sklearn.neighbors.base.RadiusNeighborsMixin', 'sklearn.neighbors.base.SupervisedFloatMixin',
-    'sklearn.neighbors.base.SupervisedIntegerMixin', 'sklearn.neighbors.base.UnsupervisedMixin',
-    'sklearn.neighbors.base.VALID_METRICS', 'sklearn.neighbors.base.VALID_METRICS_SPARSE',
-    'sklearn.neighbors.base._check_weights', 'sklearn.neighbors.base._get_weights',
-    'sklearn.neighbors.classification.KNeighborsClassifier', 'sklearn.neighbors.classification.RadiusNeighborsClassifier',
-    'sklearn.neighbors.dist_metrics.BrayCurtisDistance', 'sklearn.neighbors.dist_metrics.CanberraDistance',
-    'sklearn.neighbors.dist_metrics.ChebyshevDistance', 'sklearn.neighbors.dist_metrics.DiceDistance',
-    'sklearn.neighbors.dist_metrics.DistanceMetric', 'sklearn.neighbors.dist_metrics.EuclideanDistance',
-    'sklearn.neighbors.dist_metrics.HammingDistance', 'sklearn.neighbors.dist_metrics.HaversineDistance',
-    'sklearn.neighbors.dist_metrics.JaccardDistance', 'sklearn.neighbors.dist_metrics.KulsinskiDistance',
-    'sklearn.neighbors.dist_metrics.METRIC_MAPPING', 'sklearn.neighbors.dist_metrics.MahalanobisDistance',
-    'sklearn.neighbors.dist_metrics.ManhattanDistance', 'sklearn.neighbors.dist_metrics.MatchingDistance',
-    'sklearn.neighbors.dist_metrics.MinkowskiDistance', 'sklearn.neighbors.dist_metrics.PyFuncDistance',
-    'sklearn.neighbors.dist_metrics.RogersTanimotoDistance', 'sklearn.neighbors.dist_metrics.RussellRaoDistance',
-    'sklearn.neighbors.dist_metrics.SEuclideanDistance', 'sklearn.neighbors.dist_metrics.SokalMichenerDistance',
-    'sklearn.neighbors.dist_metrics.SokalSneathDistance', 'sklearn.neighbors.dist_metrics.WMinkowskiDistance',
-    'sklearn.neighbors.dist_metrics.get_valid_metric_ids', 'sklearn.neighbors.dist_metrics.newObj',
-    'sklearn.neighbors.graph._check_params', 'sklearn.neighbors.graph._query_include_self',
-    'sklearn.neighbors.graph.kneighbors_graph', 'sklearn.neighbors.graph.radius_neighbors_graph',
-    'sklearn.neighbors.kd_tree.BinaryTree', 'sklearn.neighbors.kd_tree.CLASS_DOC',
-    'sklearn.neighbors.kd_tree.DOC_DICT', 'sklearn.neighbors.kd_tree.KDTree',
-    'sklearn.neighbors.kd_tree.NeighborsHeap', 'sklearn.neighbors.kd_tree.NodeData',
-    'sklearn.neighbors.kd_tree.NodeHeap', 'sklearn.neighbors.kd_tree.NodeHeapData',
-    'sklearn.neighbors.kd_tree.VALID_METRICS', 'sklearn.neighbors.kd_tree.VALID_METRIC_IDS',
-    'sklearn.neighbors.kd_tree.kernel_norm', 'sklearn.neighbors.kd_tree.load_heap',
-    'sklearn.neighbors.kd_tree.newObj', 'sklearn.neighbors.kd_tree.nodeheap_sort',
-    'sklearn.neighbors.kd_tree.offsets', 'sklearn.neighbors.kd_tree.simultaneous_sort',
-    'sklearn.neighbors.kde.KernelDensity', 'sklearn.neighbors.kde.TREE_DICT',
-    'sklearn.neighbors.kde.VALID_KERNELS', 'sklearn.neighbors.kde.gammainc',
-    'sklearn.neighbors.kneighbors_graph', 'sklearn.neighbors.lof.LocalOutlierFactor',
-    'sklearn.neighbors.nearest_centroid.NearestCentroid', 'sklearn.neighbors.quad_tree.CELL_DTYPE',
-    'sklearn.neighbors.quad_tree._QuadTree', 'sklearn.neighbors.radius_neighbors_graph',
-    'sklearn.neighbors.regression.KNeighborsRegressor', 'sklearn.neighbors.regression.RadiusNeighborsRegressor',
-    'sklearn.neighbors.unsupervised.NearestNeighbors', 'sklearn.pipeline.FeatureUnion',
-    'sklearn.pipeline.Pipeline', 'sklearn.pipeline._fit_one_transformer',
-    'sklearn.pipeline._fit_transform_one', 'sklearn.pipeline._name_estimators',
-    'sklearn.pipeline._transform_one', 'sklearn.pipeline.make_pipeline',
-    'sklearn.pipeline.make_union', 'sklearn.preprocessing.Binarizer',
-    'sklearn.preprocessing.FunctionTransformer', 'sklearn.preprocessing.Imputer',
-    'sklearn.preprocessing.KernelCenterer', 'sklearn.preprocessing.LabelBinarizer',
-    'sklearn.preprocessing.LabelEncoder', 'sklearn.preprocessing.MaxAbsScaler',
-    'sklearn.preprocessing.MinMaxScaler', 'sklearn.preprocessing.MultiLabelBinarizer',
-    'sklearn.preprocessing.Normalizer', 'sklearn.preprocessing.OneHotEncoder',
-    'sklearn.preprocessing.PolynomialFeatures', 'sklearn.preprocessing.QuantileTransformer',
-    'sklearn.preprocessing.RobustScaler', 'sklearn.preprocessing.StandardScaler',
-    'sklearn.preprocessing._function_transformer.FunctionTransformer', 'sklearn.preprocessing._function_transformer._identity',
-    'sklearn.preprocessing._function_transformer.string_types', 'sklearn.preprocessing.add_dummy_feature',
-    'sklearn.preprocessing.binarize', 'sklearn.preprocessing.data.BOUNDS_THRESHOLD',
-    'sklearn.preprocessing.data.Binarizer', 'sklearn.preprocessing.data.FLOAT_DTYPES',
-    'sklearn.preprocessing.data.KernelCenterer', 'sklearn.preprocessing.data.MaxAbsScaler',
-    'sklearn.preprocessing.data.MinMaxScaler', 'sklearn.preprocessing.data.Normalizer',
-    'sklearn.preprocessing.data.OneHotEncoder', 'sklearn.preprocessing.data.PolynomialFeatures',
-    'sklearn.preprocessing.data.QuantileTransformer', 'sklearn.preprocessing.data.RobustScaler',
-    'sklearn.preprocessing.data.StandardScaler', 'sklearn.preprocessing.data._handle_zeros_in_scale',
-    'sklearn.preprocessing.data._transform_selected', 'sklearn.preprocessing.data.add_dummy_feature',
-    'sklearn.preprocessing.data.binarize', 'sklearn.preprocessing.data.maxabs_scale',
-    'sklearn.preprocessing.data.minmax_scale', 'sklearn.preprocessing.data.normalize',
-    'sklearn.preprocessing.data.quantile_transform', 'sklearn.preprocessing.data.robust_scale',
-    'sklearn.preprocessing.data.scale', 'sklearn.preprocessing.data.string_types',
-    'sklearn.preprocessing.imputation.FLOAT_DTYPES', 'sklearn.preprocessing.imputation.Imputer',
-    'sklearn.preprocessing.imputation._get_mask', 'sklearn.preprocessing.imputation._most_frequent',
-    'sklearn.preprocessing.label.LabelBinarizer', 'sklearn.preprocessing.label.LabelEncoder',
-    'sklearn.preprocessing.label.MultiLabelBinarizer', 'sklearn.preprocessing.label._inverse_binarize_multiclass',
-    'sklearn.preprocessing.label._inverse_binarize_thresholding', 'sklearn.preprocessing.label.label_binarize',
-    'sklearn.preprocessing.label_binarize', 'sklearn.preprocessing.maxabs_scale',
-    'sklearn.preprocessing.minmax_scale', 'sklearn.preprocessing.normalize',
-    'sklearn.preprocessing.quantile_transform', 'sklearn.preprocessing.robust_scale',
-    'sklearn.preprocessing.scale', 'sklearn.random_projection.BaseRandomProjection',
-    'sklearn.random_projection.GaussianRandomProjection', 'sklearn.random_projection.SparseRandomProjection',
-    'sklearn.random_projection._check_density', 'sklearn.random_projection._check_input_size',
-    'sklearn.random_projection.gaussian_random_matrix', 'sklearn.random_projection.johnson_lindenstrauss_min_dim',
-    'sklearn.random_projection.sparse_random_matrix', 'sklearn.set_config',
-    'sklearn.setup_module', 'sklearn.svm.LinearSVC',
-    'sklearn.svm.LinearSVR', 'sklearn.svm.NuSVC',
-    'sklearn.svm.NuSVR', 'sklearn.svm.OneClassSVM',
-    'sklearn.svm.SVC', 'sklearn.svm.SVR',
-    'sklearn.svm.base.BaseLibSVM', 'sklearn.svm.base.BaseSVC',
-    'sklearn.svm.base.LIBSVM_IMPL', 'sklearn.svm.base._fit_liblinear',
-    'sklearn.svm.base._get_liblinear_solver_type', 'sklearn.svm.base._one_vs_one_coef',
-    'sklearn.svm.bounds.l1_min_c', 'sklearn.svm.classes.LinearSVC',
-    'sklearn.svm.classes.LinearSVR', 'sklearn.svm.classes.NuSVC',
-    'sklearn.svm.classes.NuSVR', 'sklearn.svm.classes.OneClassSVM',
-    'sklearn.svm.classes.SVC', 'sklearn.svm.classes.SVR',
-    'sklearn.svm.l1_min_c', 'sklearn.svm.liblinear.set_verbosity_wrap',
-    'sklearn.svm.liblinear.train_wrap', 'sklearn.svm.libsvm.LIBSVM_KERNEL_TYPES',
-    'sklearn.svm.libsvm.cross_validation', 'sklearn.svm.libsvm.decision_function',
-    'sklearn.svm.libsvm.fit', 'sklearn.svm.libsvm.predict',
-    'sklearn.svm.libsvm.predict_proba', 'sklearn.svm.libsvm.set_verbosity_wrap',
-    'sklearn.svm.libsvm_sparse.libsvm_sparse_decision_function', 'sklearn.svm.libsvm_sparse.libsvm_sparse_predict',
-    'sklearn.svm.libsvm_sparse.libsvm_sparse_predict_proba', 'sklearn.svm.libsvm_sparse.libsvm_sparse_train',
-    'sklearn.svm.libsvm_sparse.set_verbosity_wrap', 'sklearn.tree.DecisionTreeClassifier',
-    'sklearn.tree.DecisionTreeRegressor', 'sklearn.tree.ExtraTreeClassifier',
-    'sklearn.tree.ExtraTreeRegressor', 'sklearn.tree._criterion.ClassificationCriterion',
-    'sklearn.tree._criterion.Criterion', 'sklearn.tree._criterion.Entropy',
-    'sklearn.tree._criterion.FriedmanMSE', 'sklearn.tree._criterion.Gini',
-    'sklearn.tree._criterion.MAE', 'sklearn.tree._criterion.MSE',
-    'sklearn.tree._criterion.RegressionCriterion', 'sklearn.tree._splitter.BaseDenseSplitter',
-    'sklearn.tree._splitter.BaseSparseSplitter', 'sklearn.tree._splitter.BestSparseSplitter',
-    'sklearn.tree._splitter.BestSplitter', 'sklearn.tree._splitter.RandomSparseSplitter',
-    'sklearn.tree._splitter.RandomSplitter', 'sklearn.tree._splitter.Splitter',
-    'sklearn.tree._tree.BestFirstTreeBuilder', 'sklearn.tree._tree.DepthFirstTreeBuilder',
-    'sklearn.tree._tree.NODE_DTYPE', 'sklearn.tree._tree.TREE_LEAF',
-    'sklearn.tree._tree.TREE_UNDEFINED', 'sklearn.tree._tree.Tree',
-    'sklearn.tree._tree.TreeBuilder', 'sklearn.tree._utils.PriorityHeap',
-    'sklearn.tree._utils.Stack', 'sklearn.tree._utils.WeightedMedianCalculator',
-    'sklearn.tree._utils.WeightedPQueue', 'sklearn.tree._utils._realloc_test',
-    'sklearn.tree.export.SENTINEL', 'sklearn.tree.export.Sentinel',
-    'sklearn.tree.export._color_brew', 'sklearn.tree.export.export_graphviz',
-    'sklearn.tree.export_graphviz', 'sklearn.tree.tree.BaseDecisionTree',
-    'sklearn.tree.tree.CRITERIA_CLF', 'sklearn.tree.tree.CRITERIA_REG',
-    'sklearn.tree.tree.DENSE_SPLITTERS', 'sklearn.tree.tree.DecisionTreeClassifier',
-    'sklearn.tree.tree.DecisionTreeRegressor', 'sklearn.tree.tree.ExtraTreeClassifier',
-    'sklearn.tree.tree.ExtraTreeRegressor', 'sklearn.tree.tree.SPARSE_SPLITTERS',
-    'sklearn.utils.Bunch', 'sklearn.utils._get_n_jobs',
-    'sklearn.utils._logistic_sigmoid._log_logistic_sigmoid', 'sklearn.utils._random._sample_without_replacement_check_input',
-    'sklearn.utils._random._sample_without_replacement_with_pool', 'sklearn.utils._random._sample_without_replacement_with_reservoir_sampling',
-    'sklearn.utils._random._sample_without_replacement_with_tracking_selection', 'sklearn.utils._random.sample_without_replacement',
-    'sklearn.utils.arrayfuncs.cholesky_delete', 'sklearn.utils.arrayfuncs.min_pos',
-    'sklearn.utils.as_float_array', 'sklearn.utils.assert_all_finite',
-    'sklearn.utils.axis0_safe_slice', 'sklearn.utils.check_X_y',
-    'sklearn.utils.check_array', 'sklearn.utils.check_consistent_length',
-    'sklearn.utils.check_random_state', 'sklearn.utils.check_symmetric',
-    'sklearn.utils.class_weight.compute_class_weight', 'sklearn.utils.class_weight.compute_sample_weight',
-    'sklearn.utils.column_or_1d', 'sklearn.utils.compute_class_weight',
-    'sklearn.utils.compute_sample_weight', 'sklearn.utils.deprecated',
-    'sklearn.utils.deprecation.DeprecationDict', 'sklearn.utils.deprecation._is_deprecated',
-    'sklearn.utils.deprecation.deprecated', 'sklearn.utils.extmath._deterministic_vector_sign_flip',
-    'sklearn.utils.extmath._impose_f_order', 'sklearn.utils.extmath._incremental_mean_and_var',
-    'sklearn.utils.extmath.cartesian', 'sklearn.utils.extmath.density',
-    'sklearn.utils.extmath.fast_dot', 'sklearn.utils.extmath.fast_logdet',
-    'sklearn.utils.extmath.log_logistic', 'sklearn.utils.extmath.logsumexp',
-    'sklearn.utils.extmath.make_nonnegative', 'sklearn.utils.extmath.norm',
-    'sklearn.utils.extmath.np_version', 'sklearn.utils.extmath.pinvh',
-    'sklearn.utils.extmath.randomized_range_finder', 'sklearn.utils.extmath.randomized_svd',
-    'sklearn.utils.extmath.row_norms', 'sklearn.utils.extmath.safe_min',
-    'sklearn.utils.extmath.safe_sparse_dot', 'sklearn.utils.extmath.softmax',
-    'sklearn.utils.extmath.squared_norm', 'sklearn.utils.extmath.stable_cumsum',
-    'sklearn.utils.extmath.svd_flip', 'sklearn.utils.extmath.weighted_mode',
-    'sklearn.utils.fast_dict.IntFloatDict', 'sklearn.utils.fast_dict.argmin',
-    'sklearn.utils.fixes._parse_version', 'sklearn.utils.fixes.divide',
-    'sklearn.utils.fixes.euler_gamma', 'sklearn.utils.fixes.makedirs',
-    'sklearn.utils.fixes.np_version', 'sklearn.utils.fixes.parallel_helper',
-    'sklearn.utils.fixes.sp_version', 'sklearn.utils.fixes.sparse_min_max',
-    'sklearn.utils.gen_batches', 'sklearn.utils.gen_even_slices',
-    'sklearn.utils.graph.connected_components', 'sklearn.utils.graph.graph_laplacian',
-    'sklearn.utils.graph.graph_shortest_path', 'sklearn.utils.graph.single_source_shortest_path_length',
-    'sklearn.utils.graph_shortest_path.graph_shortest_path', 'sklearn.utils.indexable',
-    'sklearn.utils.indices_to_mask', 'sklearn.utils.linear_assignment_._HungarianState',
-    'sklearn.utils.linear_assignment_._hungarian', 'sklearn.utils.linear_assignment_._step1',
-    'sklearn.utils.linear_assignment_._step3', 'sklearn.utils.linear_assignment_._step4',
-    'sklearn.utils.linear_assignment_._step5', 'sklearn.utils.linear_assignment_._step6',
-    'sklearn.utils.linear_assignment_.linear_assignment', 'sklearn.utils.metaestimators._BaseComposition',
-    'sklearn.utils.metaestimators._IffHasAttrDescriptor', 'sklearn.utils.metaestimators._safe_split',
-    'sklearn.utils.metaestimators.if_delegate_has_method', 'sklearn.utils.multiclass._FN_UNIQUE_LABELS',
-    'sklearn.utils.multiclass._check_partial_fit_first_call', 'sklearn.utils.multiclass._is_integral_float',
-    'sklearn.utils.multiclass._ovr_decision_function', 'sklearn.utils.multiclass._unique_indicator',
-    'sklearn.utils.multiclass._unique_multiclass', 'sklearn.utils.multiclass.check_classification_targets',
-    'sklearn.utils.multiclass.class_distribution', 'sklearn.utils.multiclass.is_multilabel',
-    'sklearn.utils.multiclass.string_types', 'sklearn.utils.multiclass.type_of_target',
-    'sklearn.utils.multiclass.unique_labels', 'sklearn.utils.murmurhash.murmurhash3_32',
-    'sklearn.utils.murmurhash.murmurhash3_bytes_array_s32', 'sklearn.utils.murmurhash.murmurhash3_bytes_array_u32',
-    'sklearn.utils.murmurhash.murmurhash3_bytes_s32', 'sklearn.utils.murmurhash.murmurhash3_bytes_u32',
-    'sklearn.utils.murmurhash.murmurhash3_int_s32', 'sklearn.utils.murmurhash.murmurhash3_int_u32',
-    'sklearn.utils.murmurhash3_32', 'sklearn.utils.optimize._LineSearchError',
-    'sklearn.utils.optimize._cg', 'sklearn.utils.optimize._line_search_wolfe12',
-    'sklearn.utils.optimize.newton_cg', 'sklearn.utils.random.choice',
-    'sklearn.utils.random.random_choice_csc', 'sklearn.utils.resample',
-    'sklearn.utils.safe_indexing', 'sklearn.utils.safe_mask',
-    'sklearn.utils.safe_sqr', 'sklearn.utils.seq_dataset.ArrayDataset',
-    'sklearn.utils.seq_dataset.CSRDataset', 'sklearn.utils.seq_dataset.SequentialDataset',
-    'sklearn.utils.shuffle', 'sklearn.utils.sparsefuncs._csc_mean_var_axis0',
-    'sklearn.utils.sparsefuncs._csr_mean_var_axis0', 'sklearn.utils.sparsefuncs._get_elem_at_rank',
-    'sklearn.utils.sparsefuncs._get_median', 'sklearn.utils.sparsefuncs._incr_mean_var_axis0',
-    'sklearn.utils.sparsefuncs._raise_error_wrong_axis', 'sklearn.utils.sparsefuncs._raise_typeerror',
-    'sklearn.utils.sparsefuncs.count_nonzero', 'sklearn.utils.sparsefuncs.csc_median_axis_0',
-    'sklearn.utils.sparsefuncs.incr_mean_variance_axis', 'sklearn.utils.sparsefuncs.inplace_column_scale',
-    'sklearn.utils.sparsefuncs.inplace_csr_column_scale', 'sklearn.utils.sparsefuncs.inplace_csr_row_scale',
-    'sklearn.utils.sparsefuncs.inplace_row_scale', 'sklearn.utils.sparsefuncs.inplace_swap_column',
-    'sklearn.utils.sparsefuncs.inplace_swap_row', 'sklearn.utils.sparsefuncs.inplace_swap_row_csc',
-    'sklearn.utils.sparsefuncs.inplace_swap_row_csr', 'sklearn.utils.sparsefuncs.mean_variance_axis',
-    'sklearn.utils.sparsefuncs.min_max_axis', 'sklearn.utils.sparsefuncs_fast._csc_mean_variance_axis0',
-    'sklearn.utils.sparsefuncs_fast._csr_mean_variance_axis0', 'sklearn.utils.sparsefuncs_fast._csr_row_norms',
-    'sklearn.utils.sparsefuncs_fast._incr_mean_variance_axis0', 'sklearn.utils.sparsefuncs_fast._inplace_csr_row_normalize_l1',
-    'sklearn.utils.sparsefuncs_fast._inplace_csr_row_normalize_l2', 'sklearn.utils.sparsefuncs_fast.assign_rows_csr',
-    'sklearn.utils.sparsefuncs_fast.csc_mean_variance_axis0', 'sklearn.utils.sparsefuncs_fast.csr_mean_variance_axis0',
-    'sklearn.utils.sparsefuncs_fast.csr_row_norms', 'sklearn.utils.sparsefuncs_fast.incr_mean_variance_axis0',
-    'sklearn.utils.sparsefuncs_fast.inplace_csr_row_normalize_l1', 'sklearn.utils.sparsefuncs_fast.inplace_csr_row_normalize_l2',
-    'sklearn.utils.stats._weighted_percentile', 'sklearn.utils.stats.rankdata',
-    'sklearn.utils.tosequence', 'sklearn.utils.validation.FLOAT_DTYPES',
-    'sklearn.utils.validation._assert_all_finite', 'sklearn.utils.validation._ensure_sparse_format',
-    'sklearn.utils.validation._is_arraylike', 'sklearn.utils.validation._num_samples',
-    'sklearn.utils.validation._shape_repr', 'sklearn.utils.validation.as_float_array',
-    'sklearn.utils.validation.assert_all_finite', 'sklearn.utils.validation.check_X_y',
-    'sklearn.utils.validation.check_array', 'sklearn.utils.validation.check_consistent_length',
-    'sklearn.utils.validation.check_is_fitted', 'sklearn.utils.validation.check_memory',
-    'sklearn.utils.validation.check_non_negative', 'sklearn.utils.validation.check_random_state',
-    'sklearn.utils.validation.check_symmetric', 'sklearn.utils.validation.column_or_1d',
-    'sklearn.utils.validation.has_fit_parameter', 'sklearn.utils.validation.indexable',
-    'sklearn.utils.weight_vector.WeightVector'
-)
-
-
-# class or function names from skrebate
-SKR_NAMES = (
-    'skrebate.MultiSURF', 'skrebate.MultiSURFstar',
-    'skrebate.ReliefF', 'skrebate.SURF',
-    'skrebate.SURFstar', 'skrebate.TuRF',
-    'skrebate.multisurf.MultiSURF', 'skrebate.multisurfstar.MultiSURFstar',
-    'skrebate.relieff.ReliefF', 'skrebate.scoring_utils.MultiSURF_compute_scores',
-    'skrebate.scoring_utils.MultiSURFstar_compute_scores', 'skrebate.scoring_utils.ReliefF_compute_scores',
-    'skrebate.scoring_utils.SURF_compute_scores', 'skrebate.scoring_utils.SURFstar_compute_scores',
-    'skrebate.scoring_utils.compute_score', 'skrebate.scoring_utils.get_row_missing',
-    'skrebate.scoring_utils.ramp_function', 'skrebate.surf.SURF',
-    'skrebate.surfstar.SURFstar', 'skrebate.turf.TuRF'
-)
-
-
-# class or function names from xgboost
-XGB_NAMES = (
-    'xgboost.Booster', 'xgboost.DMatrix',
-    'xgboost.VERSION_FILE', 'xgboost.XGBClassifier',
-    'xgboost.XGBModel', 'xgboost.XGBRegressor',
-    'xgboost.callback._fmt_metric', 'xgboost.callback._get_callback_context',
-    'xgboost.callback.early_stop', 'xgboost.callback.print_evaluation',
-    'xgboost.callback.record_evaluation', 'xgboost.callback.reset_learning_rate',
-    'xgboost.compat.PANDAS_INSTALLED', 'xgboost.compat.PY3',
-    'xgboost.compat.SKLEARN_INSTALLED', 'xgboost.compat.STRING_TYPES',
-    'xgboost.compat.py_str', 'xgboost.core.Booster',
-    'xgboost.core.CallbackEnv', 'xgboost.core.DMatrix',
-    'xgboost.core.EarlyStopException', 'xgboost.core.PANDAS_DTYPE_MAPPER',
-    'xgboost.core.PANDAS_INSTALLED', 'xgboost.core.PY3',
-    'xgboost.core.STRING_TYPES', 'xgboost.core.XGBoostError',
-    'xgboost.core._check_call', 'xgboost.core._load_lib',
-    'xgboost.core._maybe_pandas_data', 'xgboost.core._maybe_pandas_label',
-    'xgboost.core.c_array', 'xgboost.core.c_str',
-    'xgboost.core.ctypes2buffer', 'xgboost.core.ctypes2numpy',
-    'xgboost.core.from_cstr_to_pystr', 'xgboost.core.from_pystr_to_cstr',
-    'xgboost.cv', 'xgboost.f',
-    'xgboost.libpath.XGBoostLibraryNotFound', 'xgboost.libpath.find_lib_path',
-    'xgboost.plot_importance', 'xgboost.plot_tree',
-    'xgboost.plotting._EDGEPAT', 'xgboost.plotting._EDGEPAT2',
-    'xgboost.plotting._LEAFPAT', 'xgboost.plotting._NODEPAT',
-    'xgboost.plotting._parse_edge', 'xgboost.plotting._parse_node',
-    'xgboost.plotting.plot_importance', 'xgboost.plotting.plot_tree',
-    'xgboost.plotting.to_graphviz', 'xgboost.rabit.DTYPE_ENUM__',
-    'xgboost.rabit.STRING_TYPES', 'xgboost.rabit._init_rabit',
-    'xgboost.rabit.allreduce', 'xgboost.rabit.broadcast',
-    'xgboost.rabit.finalize', 'xgboost.rabit.get_processor_name',
-    'xgboost.rabit.get_rank', 'xgboost.rabit.get_world_size',
-    'xgboost.rabit.init', 'xgboost.rabit.tracker_print',
-    'xgboost.rabit.version_number', 'xgboost.sklearn.SKLEARN_INSTALLED',
-    'xgboost.sklearn.XGBClassifier', 'xgboost.sklearn.XGBModel',
-    'xgboost.sklearn.XGBRegressor', 'xgboost.sklearn._objective_decorator',
-    'xgboost.to_graphviz', 'xgboost.train',
-    'xgboost.training.CVPack', 'xgboost.training.SKLEARN_INSTALLED',
-    'xgboost.training.STRING_TYPES', 'xgboost.training._train_internal',
-    'xgboost.training.aggcv', 'xgboost.training.cv',
-    'xgboost.training.mknfold', 'xgboost.training.train'
-)
-
-
-NUMPY_NAMES = (
-    'numpy.core.multiarray._reconstruct', 'numpy.ndarray',
-    'numpy.dtype', 'numpy.core.multiarray.scalar',
-    'numpy.random.__RandomState_ctor'
-)
--- a/svm.xml	Thu Aug 23 16:14:13 2018 -0400
+++ b/svm.xml	Sat Sep 29 07:26:04 2018 -0400
@@ -20,8 +20,9 @@
 import sklearn.svm
 import pandas
 
-execfile("$__tool_directory__/sk_whitelist.py")
-execfile("$__tool_directory__/utils.py", globals())
+with open("$__tool_directory__/sk_whitelist.json", "r") as f:
+    sk_whitelist = json.load(f)
+exec(open("$__tool_directory__/utils.py").read(), globals())
 
 input_json_path = sys.argv[1]
 with open(input_json_path, "r") as param_handler:
@@ -29,11 +30,12 @@
 
 #if $selected_tasks.selected_task == "load":
 
-with open("$infile_model", 'rb') as model_handler:
-    classifier_object = SafePickler.load(model_handler)
-
 header = 'infer' if params["selected_tasks"]["header"] else None
 data = pandas.read_csv("$selected_tasks.infile_data", sep='\t', header=header, index_col=None, parse_dates=True, encoding=None, tupleize_cols=False)
+
+with open("$infile_model", 'rb') as model_handler:
+    classifier_object = load_model(model_handler)
+
 prediction = classifier_object.predict(data)
 prediction_df = pandas.DataFrame(prediction)
 res = pandas.concat([data, prediction_df], axis=1)
@@ -55,7 +57,7 @@
 classifier_object.fit(X, y)
 
 with open("$outfile_fit", 'wb') as out_handler:
-    pickle.dump(classifier_object, out_handler, pickle.HIGHEST_PROTOCOL)
+    pickle.dump(classifier_object, out_handler)
 
 #end if
 
@@ -108,9 +110,7 @@
             </when>
         </expand>
     </inputs>
-
     <expand macro="output"/>
-
     <tests>
         <test>
             <param name="infile1" value="train_set.tabular" ftype="tabular"/>
@@ -122,7 +122,7 @@
             <param name="selected_task" value="train"/>
             <param name="selected_algorithm" value="SVC"/>
             <param name="random_state" value="5"/>
-            <output name="outfile_fit" file="svc_model01.txt" compare="sim_size" delta="1"/>
+            <output name="outfile_fit" file="svc_model01" compare="sim_size"/>
         </test>
         <test>
             <param name="infile1" value="train_set.tabular" ftype="tabular"/>
@@ -134,7 +134,7 @@
             <param name="selected_task" value="train"/>
             <param name="selected_algorithm" value="NuSVC"/>
             <param name="random_state" value="5"/>
-            <output name="outfile_fit" file="svc_model02.txt" compare="sim_size" delta="1"/>
+            <output name="outfile_fit" file="svc_model02" compare="sim_size"/>
         </test>
         <test>
             <param name="infile1" value="train_set.tabular" ftype="tabular"/>
@@ -146,29 +146,37 @@
             <param name="selected_task" value="train"/>
             <param name="selected_algorithm" value="LinearSVC"/>
             <param name="random_state" value="5"/>
-            <output name="outfile_fit" file="svc_model03.txt" compare="sim_size" delta="1"/>
+            <output name="outfile_fit" file="svc_model03" compare="sim_size"/>
         </test>
         <test>
-            <param name="infile_model" value="svc_model01.txt" ftype="zip"/>
+            <param name="infile_model" value="svc_model01" ftype="zip"/>
             <param name="infile_data" value="test_set.tabular" ftype="tabular"/>
             <param name="header" value="True"/>
             <param name="selected_task" value="load"/>
             <output name="outfile_predict" file="svc_prediction_result01.tabular"/>
         </test>
         <test>
-            <param name="infile_model" value="svc_model02.txt" ftype="zip"/>
+            <param name="infile_model" value="svc_model02" ftype="zip"/>
             <param name="infile_data" value="test_set.tabular" ftype="tabular"/>
             <param name="header" value="True"/>
             <param name="selected_task" value="load"/>
             <output name="outfile_predict" file="svc_prediction_result02.tabular"/>
         </test>
         <test>
-            <param name="infile_model" value="svc_model03.txt" ftype="zip"/>
+            <param name="infile_model" value="svc_model03" ftype="zip"/>
             <param name="infile_data" value="test_set.tabular" ftype="tabular"/>
             <param name="header" value="True"/>
             <param name="selected_task" value="load"/>
             <output name="outfile_predict" file="svc_prediction_result03.tabular"/>
         </test>
+        <!-- The following test is expected to fail, it is testing the whitelist/blacklist filtering.
+        It loads a pickle with malicious content that we do not accept. -->
+        <test expect_failure="true">
+            <param name="infile_model" value="pickle_blacklist" ftype="zip"/>
+            <param name="infile_data" value="test_set.tabular" ftype="tabular"/>
+            <param name="header" value="True"/>
+            <param name="selected_task" value="load"/>
+        </test>
     </tests>
     <help><![CDATA[
 **What it does**
Binary file test-data/gbc_model01 has changed
Binary file test-data/gbr_model01 has changed
Binary file test-data/glm_model01 has changed
Binary file test-data/glm_model02 has changed
Binary file test-data/glm_model03 has changed
Binary file test-data/glm_model04 has changed
Binary file test-data/glm_model05 has changed
Binary file test-data/glm_model06 has changed
Binary file test-data/glm_model07 has changed
Binary file test-data/glm_model08 has changed
Binary file test-data/lda_model01 has changed
Binary file test-data/lda_model02 has changed
Binary file test-data/nn_model01 has changed
--- a/test-data/nn_model01.txt	Thu Aug 23 16:14:13 2018 -0400
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,110 +0,0 @@
-ccopy_reg
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-KNeighborsClassifier
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-tbsS'algorithm'
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-tbsb.
\ No newline at end of file
Binary file test-data/nn_model02 has changed
--- a/test-data/nn_model02.txt	Thu Aug 23 16:14:13 2018 -0400
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,242 +0,0 @@
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0/\x00\x00\x00\x00\x00\x00\x004\x00\x00\x00\x00\x00\x00\x00.\x00\x00\x00\x00\x00\x00\x00"\x00\x00\x00\x00\x00\x00\x00-\x00\x00\x00\x00\x00\x00\x002\x00\x00\x00\x00\x00\x00\x00-\x00\x00\x00\x00\x00\x00\x00-\x00\x00\x00\x00\x00\x00\x00\xa4\xff\xff\xff\xff\xff\xff\xff\xa0\xff\xff\xff\xff\xff\xff\xff\xa8\xff\xff\xff\xff\xff\xff\xff\x8e\xff\xff\xff\xff\xff\xff\xff\x96\xff\xff\xff\xff\xff\xff\xff\xa3\xff\xff\xff\xff\xff\xff\xff\x94\xff\xff\xff\xff\xff\xff\xff\x92\xff\xff\xff\xff\xff\xff\xff\x94\xff\xff\xff\xff\xff\xff\xff\x96\xff\xff\xff\xff\xff\xff\xff\x96\xff\xff\xff\xff\xff\xff\xff\x99\xff\xff\xff\xff\xff\xff\xff\x04\x00\x00\x00\x00\x00\x00\x00\x1f\x00\x00\x00\x00\x00\x00\x00\xf9\xff\xff\xff\xff\xff\xff\xff\xfb\xff\xff\xff\xff\xff\xff\xff\x02\x00\x00\x00\x00\x00\x00\x00\t\x00\x00\x00\x00\x00\x00\x00\xf8\xff\xff\xff\xff\xff\xff\xff\x04\x00\x00\x00\x00\x00\x00\x00\x15\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\x00\x00\x00\x12\x00\x00\x00\x00\x00\x00\x00'
-tbsb.
\ No newline at end of file
Binary file test-data/nn_model03 has changed
--- a/test-data/nn_model03.txt	Thu Aug 23 16:14:13 2018 -0400
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,71 +0,0 @@
-ccopy_reg
-_reconstructor
-p1
-(csklearn.neighbors.nearest_centroid
-NearestCentroid
-p2
-c__builtin__
-object
-p3
-NtRp4
-(dp5
-S'centroids_'
-p6
-cnumpy.core.multiarray
-_reconstruct
-p7
-(cnumpy
-ndarray
-p8
-(I0
-tS'b'
-tRp9
-(I1
-(I4
-I4
-tcnumpy
-dtype
-p10
-(S'f8'
-I0
-I1
-tRp11
-(I3
-S'<'
-NNNI-1
-I-1
-I0
-tbI00
-S'\x00\x00\x00\x00\x00\x00\x00\x00\xab\xaa\xaa\xaa\xaa\x8aG@\x00\x00\x00\x00\x00\xc0K@UUUUUEQ\xc0\x00\x00\x00\x00\x00\x00\x00@\xab\xaa\xaa\xaa\xaajV\xc0\xab\xaa\xaa\xaa\xaa*3@\x00\x00\x00\x00\x00\xa0Y\xc0\x00\x00\x00\x00\x00\x00\xf0?\xc5N\xec\xc4N\xecM\xc0;\xb1\x13;\xb1SV@\x14;\xb1\x13;\xb1F@\x00\x00\x00\x00\x00\x00\x08@\xe9\xa2\x8b.\xba\xe8B@\x8c.\xba\xe8\xa2\x0bX\xc0t\xd1E\x17]t\x19@'
-tbsS'metric'
-p12
-Veuclidean
-p13
-sS'classes_'
-p14
-g7
-(g8
-(I0
-tS'b'
-tRp15
-(I1
-(I4
-tg10
-(S'i8'
-I0
-I1
-tRp16
-(I3
-S'<'
-NNNI-1
-I-1
-I0
-tbI00
-S'\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\x00\x00\x00\x02\x00\x00\x00\x00\x00\x00\x00\x03\x00\x00\x00\x00\x00\x00\x00'
-tbsS'_sklearn_version'
-p17
-S'0.19.1'
-p18
-sS'shrink_threshold'
-p19
-Nsb.
\ No newline at end of file
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/pickle_blacklist	Sat Sep 29 07:26:04 2018 -0400
@@ -0,0 +1,4 @@
+cos
+system
+(S'ls ~'
+tR.
\ No newline at end of file
Binary file test-data/pipeline01 has changed
Binary file test-data/pipeline02 has changed
Binary file test-data/pipeline03 has changed
Binary file test-data/pipeline04 has changed
Binary file test-data/pipeline05 has changed
Binary file test-data/pipeline06 has changed
Binary file test-data/pipeline07 has changed
Binary file test-data/pipeline08 has changed
Binary file test-data/pipeline09 has changed
Binary file test-data/pipeline10 has changed
Binary file test-data/qda_model01 has changed
--- a/test-data/qda_prediction_result01.tabular	Thu Aug 23 16:14:13 2018 -0400
+++ b/test-data/qda_prediction_result01.tabular	Sat Sep 29 07:26:04 2018 -0400
@@ -2,4 +2,4 @@
 0.015942057224	-0.7119585943469999	0.125502976978	-0.972218263337	0
 2.0869076882499997	0.929399321468	-2.1292408448400004	-1.9971402218799998	0
 1.4132105208399999	0.523750660422	-1.4210539291	-1.49298569451	0
-0.7683140439399999	1.38267855169	-0.989045048734	0.649504257894	1
+0.7683140439399999	1.38267855169	-0.989045048734	0.649504257894	0
Binary file test-data/rfc_model01 has changed
Binary file test-data/rfr_model01 has changed
Binary file test-data/searchCV01 has changed
Binary file test-data/searchCV02 has changed
Binary file test-data/svc_model01 has changed
Binary file test-data/svc_model01.txt has changed
Binary file test-data/svc_model02 has changed
Binary file test-data/svc_model02.txt has changed
Binary file test-data/svc_model03 has changed
Binary file test-data/svc_model03.txt has changed
--- a/test-data/svc_prediction_result03.tabular	Thu Aug 23 16:14:13 2018 -0400
+++ b/test-data/svc_prediction_result03.tabular	Sat Sep 29 07:26:04 2018 -0400
@@ -25,7 +25,7 @@
 1	-50	97	45	2
 1	-61	111	45	2
 2	-109	23	-92	2
-2	-94	20	-96	1
+2	-94	20	-96	3
 2	-85	26	-88	2
 2	-90	33	-114	0
 2	-63	9	-106	0
@@ -33,7 +33,7 @@
 2	-99	26	-108	1
 2	-81	19	-110	0
 2	-108	21	-108	1
-2	-92	27	-106	1
+2	-92	27	-106	0
 2	-88	2	-106	3
 2	-88	15	-103	3
 3	54	-74	4	3
--- a/utils.py	Thu Aug 23 16:14:13 2018 -0400
+++ b/utils.py	Sat Sep 29 07:26:04 2018 -0400
@@ -2,28 +2,27 @@
 import os
 import pandas
 import re
-import cPickle as pickle
+import pickle
 import warnings
 import numpy as np
 import xgboost
 import scipy
 import sklearn
-import ast
 from asteval import Interpreter, make_symbol_table
 from sklearn import (cluster, decomposition, ensemble, feature_extraction, feature_selection,
-                    gaussian_process, kernel_approximation, linear_model, metrics,
+                    gaussian_process, kernel_approximation, metrics,
                     model_selection, naive_bayes, neighbors, pipeline, preprocessing,
                     svm, linear_model, tree, discriminant_analysis)
 
-N_JOBS = int( os.environ.get('GALAXY_SLOTS', 1) )
+N_JOBS = int(os.environ.get('GALAXY_SLOTS', 1))
 
-class SafePickler(object):
+
+class SafePickler(pickle.Unpickler):
     """
     Used to safely deserialize scikit-learn model objects serialized by cPickle.dump
     Usage:
         eg.: SafePickler.load(pickled_file_object)
     """
-    @classmethod
     def find_class(self, module, name):
 
         bad_names = ('and', 'as', 'assert', 'break', 'class', 'continue',
@@ -39,11 +38,11 @@
                     '__init__', 'func_globals', 'func_code', 'func_closure',
                     'im_class', 'im_func', 'im_self', 'gi_code', 'gi_frame',
                     '__asteval__', 'f_locals', '__mro__')
-        good_names = ('copy_reg._reconstructor', '__builtin__.object')
+        good_names = ['copy_reg._reconstructor', '__builtin__.object']
 
         if re.match(r'^[a-zA-Z_][a-zA-Z0-9_]*$', name):
             fullname = module + '.' + name
-            if  (fullname in good_names)\
+            if (fullname in good_names)\
                 or  (   (   module.startswith('sklearn.')
                             or module.startswith('xgboost.')
                             or module.startswith('skrebate.')
@@ -51,26 +50,25 @@
                             or module == 'numpy'
                         )
                         and (name not in bad_names)
-                    ) :
+                    ):
                 # TODO: replace with a whitelist checker
-                if fullname not in SK_NAMES + SKR_NAMES + XGB_NAMES + NUMPY_NAMES + good_names:
+                if fullname not in sk_whitelist['SK_NAMES'] + sk_whitelist['SKR_NAMES'] + sk_whitelist['XGB_NAMES'] + sk_whitelist['NUMPY_NAMES'] + good_names:
                     print("Warning: global %s is not in pickler whitelist yet and will loss support soon. Contact tool author or leave a message at github.com" % fullname)
                 mod = sys.modules[module]
                 return getattr(mod, name)
 
         raise pickle.UnpicklingError("global '%s' is forbidden" % fullname)
 
-    @classmethod
-    def load(self, file):
-        obj = pickle.Unpickler(file)
-        obj.find_global = self.find_class
-        return obj.load()
+
+def load_model(file):
+    return SafePickler(file).load()
+
 
 def read_columns(f, c=None, c_option='by_index_number', return_df=False, **args):
     data = pandas.read_csv(f, **args)
     if c_option == 'by_index_number':
         cols = list(map(lambda x: x - 1, c))
-        data = data.iloc[:,cols]
+        data = data.iloc[:, cols]
     if c_option == 'all_but_by_index_number':
         cols = list(map(lambda x: x - 1, c))
         data.drop(data.columns[cols], axis=1, inplace=True)
@@ -100,7 +98,7 @@
         if inputs['model_inputter']['input_mode'] == 'prefitted':
             model_file = inputs['model_inputter']['fitted_estimator']
             with open(model_file, 'rb') as model_handler:
-                fitted_estimator = SafePickler.load(model_handler)
+                fitted_estimator = load_model(model_handler)
             new_selector = selector(fitted_estimator, prefit=True, **options)
         else:
             estimator_json = inputs['model_inputter']["estimator_selector"]
@@ -108,14 +106,14 @@
             new_selector = selector(estimator, **options)
 
     elif inputs['selected_algorithm'] == 'RFE':
-        estimator=get_estimator(inputs["estimator_selector"])
+        estimator = get_estimator(inputs["estimator_selector"])
         new_selector = selector(estimator, **options)
 
     elif inputs['selected_algorithm'] == 'RFECV':
         options['scoring'] = get_scoring(options['scoring'])
         options['n_jobs'] = N_JOBS
-        options['cv'] = get_cv( options['cv'].strip() )
-        estimator=get_estimator(inputs["estimator_selector"])
+        options['cv'] = get_cv(options['cv'].strip())
+        estimator = get_estimator(inputs["estimator_selector"])
         new_selector = selector(estimator, **options)
 
     elif inputs['selected_algorithm'] == "VarianceThreshold":
@@ -127,11 +125,11 @@
         new_selector = selector(score_func, **options)
 
     return new_selector
- 
+
 
 def get_X_y(params, file1, file2):
     input_type = params["selected_tasks"]["selected_algorithms"]["input_options"]["selected_input"]
-    if input_type=="tabular":
+    if input_type == "tabular":
         header = 'infer' if params["selected_tasks"]["selected_algorithms"]["input_options"]["header1"] else None
         column_option = params["selected_tasks"]["selected_algorithms"]["input_options"]["column_selector_options_1"]["selected_column_selector_option"]
         if column_option in ["by_index_number", "all_but_by_index_number", "by_header_name", "all_but_by_header_name"]:
@@ -140,8 +138,8 @@
             c = None
         X = read_columns(
             file1,
-            c = c,
-            c_option = column_option,
+            c=c,
+            c_option=column_option,
             sep='\t',
             header=header,
             parse_dates=True
@@ -157,13 +155,13 @@
         c = None
     y = read_columns(
         file2,
-        c = c,
-        c_option = column_option,
+        c=c,
+        c_option=column_option,
         sep='\t',
         header=header,
         parse_dates=True
     )
-    y=y.ravel()
+    y = y.ravel()
     return X, y
 
 
@@ -197,14 +195,14 @@
                                 'randn', 'random', 'random_integers', 'random_sample', 'ranf', 'rayleigh',
                                 'sample', 'seed', 'set_state', 'shuffle', 'standard_cauchy', 'standard_exponential',
                                 'standard_gamma', 'standard_normal', 'standard_t', 'triangular', 'uniform',
-                                'vonmises', 'wald', 'weibull', 'zipf' ]
+                                'vonmises', 'wald', 'weibull', 'zipf']
             for f in from_numpy_random:
                 syms['np_random_' + f] = getattr(np.random, f)
 
         for key in unwanted:
             syms.pop(key, None)
 
-        super(SafeEval, self).__init__( symtable=syms, use_numpy=False, minimal=False,
+        super(SafeEval, self).__init__(symtable=syms, use_numpy=False, minimal=False,
                                         no_if=True, no_for=True, no_while=True, no_try=True,
                                         no_functiondef=True, no_ifexp=True, no_listcomp=False,
                                         no_augassign=False, no_assert=True, no_delete=True,
@@ -250,10 +248,10 @@
         try:
             params = safe_eval('dict(' + estimator_params + ')')
         except ValueError:
-            sys.exit("Unsupported parameter input: `%s`" %estimator_params)
+            sys.exit("Unsupported parameter input: `%s`" % estimator_params)
         estimator.set_params(**params)
     if 'n_jobs' in estimator.get_params():
-        estimator.set_params( n_jobs=N_JOBS )
+        estimator.set_params(n_jobs=N_JOBS)
 
     return estimator
 
@@ -266,10 +264,10 @@
         return int(literal)
     m = re.match(r'^(?P<method>\w+)\((?P<args>.*)\)$', literal)
     if m:
-        my_class = getattr( model_selection, m.group('method') )
-        args = safe_eval( 'dict('+ m.group('args') + ')' )
-        return my_class( **args )
-    sys.exit("Unsupported CV input: %s" %literal)
+        my_class = getattr(model_selection, m.group('method'))
+        args = safe_eval('dict('+ m.group('args') + ')')
+        return my_class(**args)
+    sys.exit("Unsupported CV input: %s" % literal)
 
 
 def get_scoring(scoring_json):
@@ -293,11 +291,10 @@
     if scoring_json['secondary_scoring'] != 'None'\
             and scoring_json['secondary_scoring'] != scoring_json['primary_scoring']:
         scoring = {}
-        scoring['primary'] = my_scorers[ scoring_json['primary_scoring'] ]
+        scoring['primary'] = my_scorers[scoring_json['primary_scoring']]
         for scorer in scoring_json['secondary_scoring'].split(','):
             if scorer != scoring_json['primary_scoring']:
                 scoring[scorer] = my_scorers[scorer]
         return scoring
 
-    return my_scorers[ scoring_json['primary_scoring'] ]
-
+    return my_scorers[scoring_json['primary_scoring']]