Mercurial > repos > bgruening > sklearn_feature_selection
changeset 15:3232ad8fee41 draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2a058459e6daf0486871f93845f00fdb4a4eaca1
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--- a/feature_selection.xml Thu Aug 23 16:10:26 2018 -0400 +++ b/feature_selection.xml Sat Sep 29 07:19:58 2018 -0400 @@ -21,8 +21,9 @@ import pandas import sklearn.feature_selection -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()) safe_eval = SafeEval()
--- a/main_macros.xml Thu Aug 23 16:10:26 2018 -0400 +++ b/main_macros.xml Sat Sep 29 07:19:58 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 07:19:58 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 16:10:26 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/test-data/nn_model01.txt Thu Aug 23 16:10:26 2018 -0400 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,110 +0,0 @@ -ccopy_reg -_reconstructor -p1 -(csklearn.neighbors.classification -KNeighborsClassifier -p2 -c__builtin__ -object -p3 -NtRp4 -(dp5 -S'n_neighbors' -p6 -I5 -sS'n_jobs' -p7 -I1 -sS'_y' -p8 -cnumpy.core.multiarray -_reconstruct -p9 -(cnumpy -ndarray -p10 -(I0 -tS'b' -tRp11 -(I1 -(I48 -tcnumpy -dtype -p12 -(S'i8' -I0 -I1 -tRp13 -(I3 -S'<' -NNNI-1 -I-1 -I0 -tbI00 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-tbsS'algorithm' -p14 -Vbrute -p15 -sS'_sklearn_version' -p16 -S'0.19.1' -p17 -sS'metric' -p18 -S'minkowski' -p19 -sS'classes_' -p20 -g9 -(g10 -(I0 -tS'b' -tRp21 -(I1 -(I4 -tg13 -I00 -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'metric_params' -p22 -NsS'p' -I2 -sS'effective_metric_params_' -p23 -(dp24 -sS'radius' -p25 -NsS'leaf_size' -p26 -I30 -sS'_fit_method' -p27 -g15 -sS'weights' -p28 -Vuniform -p29 -sS'_tree' -p30 -NsS'effective_metric_' -p31 -S'euclidean' -p32 -sS'outputs_2d_' -p33 -I00 -sS'_fit_X' -p34 -g9 -(g10 -(I0 -tS'b' -tRp35 -(I1 -(I48 -I4 -tg13 -I01 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-tbsb. \ No newline at end of file
--- a/test-data/nn_model02.txt Thu Aug 23 16:10:26 2018 -0400 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,242 +0,0 @@ -ccopy_reg -_reconstructor -p1 -(csklearn.neighbors.classification -RadiusNeighborsClassifier -p2 -c__builtin__ -object -p3 -NtRp4 -(dp5 -S'n_neighbors' -p6 -NsS'n_jobs' -p7 -I1 -sS'_y' -p8 -cnumpy.core.multiarray -_reconstruct -p9 -(cnumpy -ndarray -p10 -(I0 -tS'b' -tRp11 -(I1 -(I48 -tcnumpy -dtype -p12 -(S'i8' -I0 -I1 -tRp13 -(I3 -S'<' -NNNI-1 -I-1 -I0 -tbI00 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-tbsS'algorithm' -p14 -Vauto -p15 -sS'_sklearn_version' -p16 -S'0.19.1' -p17 -sS'metric' -p18 -S'minkowski' -p19 -sS'classes_' -p20 -g9 -(g10 -(I0 -tS'b' -tRp21 -(I1 -(I4 -tg13 -I00 -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'outputs_2d_' -p22 -I00 -sS'metric_params' -p23 -NsS'p' -I2 -sS'effective_metric_params_' -p24 -(dp25 -sS'radius' -p26 -F1 -sS'leaf_size' -p27 -I30 -sS'_fit_method' -p28 -S'kd_tree' -p29 -sS'weights' -p30 -Vuniform -p31 -sS'_tree' -p32 -csklearn.neighbors.kd_tree -newObj -p33 -(csklearn.neighbors.kd_tree -BinaryTree -p34 -tRp35 -(g9 -(g10 -(I0 -tS'b' -tRp36 -(I1 -(I48 -I4 -tg12 -(S'f8' -I0 -I1 -tRp37 -(I3 -S'<' -NNNI-1 -I-1 -I0 -tbI00 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\xc0\x00\x00\x00\x00\x00\x00\x08@\x00\x00\x00\x00\x00\x007@\x00\x00\x00\x00\x00\x80Y\xc0\x00\x00\x00\x00\x00\x00\x10@\x00\x00\x00\x00\x00\x00\x08@\x00\x00\x00\x00\x00\x00C@\x00\x00\x00\x00\x00\x80V\xc0\x00\x00\x00\x00\x00\x005@\x00\x00\x00\x00\x00\x00\x08@\x00\x00\x00\x00\x00\x00A@\x00\x00\x00\x00\x00\xc0Z\xc0\x00\x00\x00\x00\x00\x00\xf0?\x00\x00\x00\x00\x00\x00\x08@\x00\x00\x00\x00\x00\x80A@\x00\x00\x00\x00\x00\x80S\xc0\x00\x00\x00\x00\x00\x002@' -tbg9 -(g10 -(I0 -tS'b' -tRp38 -(I1 -(I48 -tg13 -I00 -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\x04\x00\x00\x00\x00\x00\x00\x00\x05\x00\x00\x00\x00\x00\x00\x00\x06\x00\x00\x00\x00\x00\x00\x00\x07\x00\x00\x00\x00\x00\x00\x00\x08\x00\x00\x00\x00\x00\x00\x00\t\x00\x00\x00\x00\x00\x00\x00\n\x00\x00\x00\x00\x00\x00\x00\x0b\x00\x00\x00\x00\x00\x00\x00\x0c\x00\x00\x00\x00\x00\x00\x00\r\x00\x00\x00\x00\x00\x00\x00\x0e\x00\x00\x00\x00\x00\x00\x00\x0f\x00\x00\x00\x00\x00\x00\x00\x10\x00\x00\x00\x00\x00\x00\x00\x11\x00\x00\x00\x00\x00\x00\x00\x12\x00\x00\x00\x00\x00\x00\x00\x13\x00\x00\x00\x00\x00\x00\x00\x14\x00\x00\x00\x00\x00\x00\x00\x15\x00\x00\x00\x00\x00\x00\x00\x16\x00\x00\x00\x00\x00\x00\x00\x17\x00\x00\x00\x00\x00\x00\x00\x18\x00\x00\x00\x00\x00\x00\x00\x19\x00\x00\x00\x00\x00\x00\x00\x1a\x00\x00\x00\x00\x00\x00\x00\x1b\x00\x00\x00\x00\x00\x00\x00\x1c\x00\x00\x00\x00\x00\x00\x00\x1d\x00\x00\x00\x00\x00\x00\x00\x1e\x00\x00\x00\x00\x00\x00\x00\x1f\x00\x00\x00\x00\x00\x00\x00 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-S'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00@[\xc0\x00\x00\x00\x00\x00\xc0\\\xc0\x00\x00\x00\x00\x00\x80\\\xc0\x00\x00\x00\x00\x00\x00\x08@\x00\x00\x00\x00\x00\x00M@\x00\x00\x00\x00\x00\xc0[@\x00\x00\x00\x00\x00\x80Q@' -tbI30 -I1 -I1 -I0 -I0 -I0 -I0 -csklearn.neighbors.dist_metrics -newObj -p51 -(csklearn.neighbors.dist_metrics -EuclideanDistance -p52 -tRp53 -(F2 -g9 -(g10 -(I0 -tS'b' -tRp54 -(I1 -(I1 -tg37 -I00 -S'\x00\x00\x00\x00\x00\x00\x00\x00' -tbg9 -(g10 -(I0 -tS'b' -tRp55 -(I1 -(I1 -I1 -tg37 -I00 -S'\x00\x00\x00\x00\x00\x00\x00\x00' -tbtbtbsS'effective_metric_' -p56 -S'euclidean' -p57 -sS'outlier_label' -p58 -NsS'_fit_X' -p59 -g9 -(g10 -(I0 -tS'b' -tRp60 -(I1 -(I48 -I4 -tg13 -I01 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-tbsb. \ No newline at end of file
--- a/test-data/nn_model03.txt Thu Aug 23 16:10:26 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 07:19:58 2018 -0400 @@ -0,0 +1,4 @@ +cos +system +(S'ls ~' +tR. \ No newline at end of file
--- a/test-data/qda_prediction_result01.tabular Thu Aug 23 16:10:26 2018 -0400 +++ b/test-data/qda_prediction_result01.tabular Sat Sep 29 07:19:58 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
--- a/test-data/svc_prediction_result03.tabular Thu Aug 23 16:10:26 2018 -0400 +++ b/test-data/svc_prediction_result03.tabular Sat Sep 29 07:19:58 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 16:10:26 2018 -0400 +++ b/utils.py Sat Sep 29 07:19:58 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']]