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  1. ARDRegression arg mismatch: ['X_offset_', 'X_scale_', 'intercept_']
  2. AdaBoostClassifier arg mismatch: ['base_estimator_']
  3. AdaBoostRegressor arg mismatch: ['base_estimator_']
  4. AdditiveChi2Sampler arg mismatch: ['sample_interval_']
  5. BaggingClassifier arg mismatch: ['n_features_']
  6. BaggingRegressor arg mismatch: ['base_estimator_', 'n_features_']
  7. BayesianGaussianMixture arg mismatch: ['mean_precision_prior', 'mean_precision_prior_']
  8. BayesianRidge arg mismatch: ['X_offset_', 'X_scale_', 'intercept_']
  9. BernoulliNB arg mismatch: ['coef_']
  10. BernoulliRBM arg mismatch: ['h_samples_', 'random_state_']
  11. Birch arg mismatch: ['fit_', 'partial_fit_']
  12. CCA arg mismatch: ['coef_', 'x_mean_', 'x_std_', 'y_mean_', 'y_std_']
  13. CheckingClassifier arg mismatch: ['classes_']
  14. ComplementNB arg mismatch: ['coef_']
  15. CountVectorizer arg mismatch: ['fixed_vocabulary_']
  16. DecisionTreeRegressor arg mismatch: ['classes_', 'n_classes_']
  17. DummyClassifier arg mismatch: ['output_2d_']
  18. DummyRegressor arg mismatch: ['output_2d_']
  19. ElasticNet arg mismatch: ['dual_gap_']
  20. ElasticNetCV arg mismatch: ['dual_gap_']
  21. EllipticEnvelope arg mismatch: ['dist_', 'raw_covariance_', 'raw_location_', 'raw_support_', 'threshold_']
  22. ExtraTreeClassifier arg mismatch: ['classes_', 'max_features_', 'n_classes_', 'n_features_', 'n_outputs_', 'tree_']
  23. ExtraTreeRegressor arg mismatch: ['classes_', 'max_features_', 'n_classes_', 'n_features_', 'n_outputs_', 'tree_']
  24. ExtraTreesClassifier arg mismatch: ['base_estimator_']
  25. ExtraTreesRegressor arg mismatch: ['base_estimator_', 'classes_', 'n_classes_']
  26. FastICA arg mismatch: ['whitening_']
  27. GaussianProcessClassifier arg mismatch: ['base_estimator_']
  28. GaussianRandomProjection arg mismatch: ['n_component_', 'n_components_']
  29. GradientBoostingClassifier arg mismatch: ['base_estimator_', 'max_features_', 'n_classes_', 'n_features_']
  30. GradientBoostingRegressor arg mismatch: ['base_estimator_', 'classes_', 'max_features_', 'n_classes_', 'n_estimators_', 'n_features_']
  31. GraphLasso arg mismatch: ['location_']
  32. GraphLassoCV arg mismatch: ['location_']
  33. IncrementalPCA arg mismatch: ['batch_size_']
  34. IsolationForest arg mismatch: ['base_estimator_', 'estimators_features_', 'n_features_', 'oob_score_', 'threshold_']
  35. IsotonicRegression arg mismatch: ['increasing_']
  36. IterativeImputer arg mismatch: ['random_state_']
  37. KernelCenterer arg mismatch: ['K_fit_all_', 'K_fit_rows_']
  38. KernelDensity arg mismatch: ['tree_']
  39. LarsCV arg mismatch: ['active_']
  40. Lasso arg mismatch: ['dual_gap_']
  41. LassoCV arg mismatch: ['l1_ratio_']
  42. LassoLarsCV arg mismatch: ['active_']
  43. LassoLarsIC arg mismatch: ['active_', 'alphas_', 'coef_path_']
  44. LatentDirichletAllocation arg mismatch: ['bound_', 'doc_topic_prior_', 'exp_dirichlet_component_', 'random_state_', 'topic_word_prior_']
  45. LinearRegression arg mismatch: ['rank_', 'singular_']
  46. LinearSVC arg mismatch: ['n_iter_']
  47. LinearSVR arg mismatch: ['n_iter_']
  48. LocalOutlierFactor arg mismatch: ['effective_metric_', 'effective_metric_params_']
  49. MDS arg mismatch: ['dissimilarity_matrix_', 'n_iter_']
  50. MLPClassifier arg mismatch: ['best_loss_', 'best_validation_score_', 'loss_curve_', 't_', 'validation_scores_']
  51. MLPRegressor arg mismatch: ['best_loss_', 'best_validation_score_', 'loss_curve_', 't_', 'validation_scores_']
  52. MinMaxScaler arg mismatch: ['n_samples_seen_']
  53. MiniBatchDictionaryLearning arg mismatch: ['iter_offset_', 'random_state_']
  54. MiniBatchKMeans arg mismatch: ['counts_', 'init_size_', 'n_iter_', 'random_state_']
  55. MiniBatchSparsePCA arg mismatch: ['error_']
  56. MultiOutputRegressor arg mismatch: ['estimators_']
  57. MultiTaskElasticNet arg mismatch: ['dual_gap_', 'eps_', 'sparse_coef_']
  58. MultiTaskElasticNetCV arg mismatch: ['dual_gap_']
  59. MultiTaskLasso arg mismatch: ['dual_gap_', 'eps_', 'sparse_coef_']
  60. MultiTaskLassoCV arg mismatch: ['dual_gap_', 'l1_ratio_']
  61. MultinomialNB arg mismatch: ['intercept_']
  62. NuSVC arg mismatch: ['class_weight_', 'fit_status_', 'probA_', 'probB_', 'shape_fit_']
  63. NuSVR arg mismatch: ['class_weight_', 'classes_', 'fit_status_', 'n_support_', 'probA_', 'probB_', 'shape_fit_']
  64. OAS arg mismatch: ['location_']
  65. OneClassSVM arg mismatch: ['class_weight_', 'classes_', 'fit_status_', 'n_support_', 'probA_', 'probB_', 'shape_fit_']
  66. OneVsOneClassifier arg mismatch: ['n_classes_', 'pairwise_indices_']
  67. OneVsRestClassifier arg mismatch: ['coef_', 'intercept_', 'n_classes_']
  68. OrthogonalMatchingPursuit arg mismatch: ['n_nonzero_coefs_']
  69. PCA arg mismatch: ['n_features_', 'n_samples_']
  70. PLSCanonical arg mismatch: ['coef_', 'x_mean_', 'x_std_', 'y_mean_', 'y_std_']
  71. PLSRegression arg mismatch: ['x_mean_', 'x_std_', 'y_mean_', 'y_std_']
  72. PLSSVD arg mismatch: ['x_mean_', 'x_std_', 'y_mean_', 'y_std_']
  73. PassiveAggressiveClassifier arg mismatch: ['average_coef_', 'average_intercept_', 'loss_function_', 'standard_coef_', 'standard_intercept_']
  74. PassiveAggressiveRegressor arg mismatch: ['average_coef_', 'average_intercept_', 'standard_coef_', 'standard_intercept_']
  75. Perceptron arg mismatch: ['average_coef_', 'average_intercept_', 'loss_function_', 'standard_coef_', 'standard_intercept_']
  76. RBFSampler arg mismatch: ['random_offset_', 'random_weights_']
  77. RFE arg mismatch: ['classes_', 'scores_']
  78. RFECV arg mismatch: ['classes_', 'scores_']
  79. RandomForestClassifier arg mismatch: ['base_estimator_']
  80. RandomForestRegressor arg mismatch: ['base_estimator_', 'classes_', 'n_classes_']
  81. RandomTreesEmbedding arg mismatch: ['base_estimator_', 'classes_', 'feature_importances_', 'n_classes_', 'n_features_', 'n_outputs_', 'one_hot_encoder_']
  82. SGDClassifier arg mismatch: ['average_coef_', 'average_intercept_', 'standard_coef_', 'standard_intercept_']
  83. SGDRegressor arg mismatch: ['standard_coef_', 'standard_intercept_']
  84. SVC arg mismatch: ['class_weight_', 'shape_fit_']
  85. SVR arg mismatch: ['class_weight_', 'classes_', 'fit_status_', 'n_support_', 'probA_', 'probB_', 'shape_fit_']
  86. ShrunkCovariance arg mismatch: ['shrinkage']
  87. SimpleImputer arg mismatch: ['statistcs_']
  88. SkewedChi2Sampler arg mismatch: ['random_offset_', 'random_weights_']
  89. SparseRandomProjection arg mismatch: ['n_component_', 'n_components_']
  90. SpectralEmbedding arg mismatch: ['gamma_']
  91. TfidfVectorizer arg mismatch: ['fixed_vocabulary_']
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