pipfreeze

Executing pip freeze in /home/hotdox/ves/mlxtend/
cycler==0.10.0
matplotlib==2.0.2
nose==1.3.7
numpy==1.13.0rc1
pandas==0.20.1
pyparsing==2.2.0
python-dateutil==2.6.0
pytz==2017.2
scikit-learn==0.18.1
scipy==0.19.0
six==1.10.0

test.log

Executing nosetests -sv in /home/hotdox/ves/mlxtend/
test_adaline.test_invalid_labels_1 ... ok
test_adaline.test_invalid_labels_2 ... ok
test_adaline.test_normal_equation ... ok
test_adaline.test_gradient_descent ... ok
test_adaline.test_score_function ... ok
test_adaline.test_refit_weights ... ok
test_adaline.test_stochastic_gradient_descent ... ok
test_adaline.test_ary_persistency_in_shuffling ... ok
test_ensemble_vote_classifier.test_EnsembleVoteClassifier ... ok
test_ensemble_vote_classifier.test_EnsembleVoteClassifier_weights ... ok
test_ensemble_vote_classifier.test_EnsembleVoteClassifier_gridsearch ... ok
test_ensemble_vote_classifier.test_EnsembleVoteClassifier_gridsearch_enumerate_names ... ok
test_logistic_regression.test_invalid_labels_1 ... ok
test_logistic_regression.test_invalid_labels_2 ... ok
test_logistic_regression.test_logistic_regression_gd ... ok
test_logistic_regression.test_score_function ... ok
test_logistic_regression.test_refit_weights ... ok
test_logistic_regression.test_predict_proba ... ok
test_logistic_regression.test_logistic_regression_sgd ... ok
test_logistic_regression.test_l2_regularization_gd ... ok
test_logistic_regression.test_l2_regularization_sgd ... ok
test_logistic_regression.test_ary_persistency_in_shuffling ... ok
test_multilayerperceptron.test_multiclass_gd_acc ... ok
test_multilayerperceptron.test_predict_proba ... ok
test_multilayerperceptron.test_multiclass_sgd_acc ... ok
test_multilayerperceptron.test_multiclass_minibatch_acc ... ok
test_multilayerperceptron.test_num_hidden_layers ... ok
test_multilayerperceptron.test_binary_gd ... ok
test_multilayerperceptron.test_score_function ... ok
test_multilayerperceptron.test_decay_function ... ok
test_multilayerperceptron.test_momentum_1 ... ok
test_multilayerperceptron.test_retrain ... ok
test_perceptron.test_invalid_labels_1 ... ok
test_perceptron.test_invalid_labels_2 ... ok
test_perceptron.test_standardized_iris_data ... ok
test_perceptron.test_score_function ... ok
test_perceptron.test_nonstandardized_iris_data ... ok
test_softmax_regression.test_labels ... ok
test_softmax_regression.test_binary_logistic_regression_gd ... ok
test_softmax_regression.test_refit_weights ... ok
test_softmax_regression.test_binary_logistic_regression_sgd ... ok
test_softmax_regression.test_binary_l2_regularization_gd ... ok
test_softmax_regression.test_multi_logistic_regression_gd_weights ... ok
test_softmax_regression.test_multi_logistic_probas ... ok
test_softmax_regression.test_multi_logistic_regression_gd_acc ... ok
test_softmax_regression.test_score_function ... ok
test_stacking_classifier.test_StackingClassifier ... ok
test_stacking_classifier.test_StackingClassifier_proba_avg_1 ... ok
test_stacking_classifier.test_StackingClassifier_proba_concat_1 ... ok
test_stacking_classifier.test_StackingClassifier_avg_vs_concat ... ok
test_stacking_classifier.test_multivariate_class ... ok
test_stacking_classifier.test_gridsearch ... ok
test_stacking_classifier.test_gridsearch_enumerate_names ... ok
test_stacking_classifier.test_use_probas ... ok
test_stacking_classifier.test_not_fitted ... ok
test_stacking_classifier.test_verbose ... [Parallel(n_jobs=1)]: Done  10 out of  10 | elapsed:    0.0s finished
[Parallel(n_jobs=1)]: Done  10 out of  10 | elapsed:    0.0s finished
ok
test_stacking_classifier.test_use_features_in_secondary_predict ... ok
test_stacking_classifier.test_use_features_in_secondary_predict_proba ... ok
test_stacking_cv_classifier.test_StackingClassifier ... ok
test_stacking_cv_classifier.test_StackingClassifier_proba ... ok
test_stacking_cv_classifier.test_gridsearch ... ok
test_stacking_cv_classifier.test_gridsearch_enumerate_names ... ok
test_stacking_cv_classifier.test_use_probas ... ok
test_stacking_cv_classifier.test_use_features_in_secondary ... ok
test_stacking_cv_classifier.test_do_not_stratify ... ok
test_stacking_cv_classifier.test_not_fitted ... ok
test_stacking_cv_classifier.test_verbose ... [Parallel(n_jobs=1)]: Done  10 out of  10 | elapsed:    0.0s finished
[Parallel(n_jobs=1)]: Done  10 out of  10 | elapsed:    0.0s finished
[Parallel(n_jobs=1)]: Done  10 out of  10 | elapsed:    0.0s finished
[Parallel(n_jobs=1)]: Done  10 out of  10 | elapsed:    0.0s finished
[Parallel(n_jobs=1)]: Done  10 out of  10 | elapsed:    0.0s finished
ok
test_kmeans.test_nonfitted ... ok
test_kmeans.test_three_blobs_multi ... ok
test_kmeans.test_three_blobs_1sample ... ok
test_kmeans.test_three_blobs_centroids ... ok
test_kmeans.test_continue_training ... ok
test_data.test_import_wine_data ... ok
test_data.test_import_iris_data ... ok
test_data.test_import_autompg_data ... ok
test_data.test_import_mnist_data ... ok
test_data.test_import_three_blobs_data ... ok
test_data.test_import_boston_housing ... ok
test_confusion_matrix.test_multiclass ... ok
test_confusion_matrix.test_binary ... ok
test_lift_score.test_multiclass ... ok
test_lift_score.test_multiclass_positive_label_0 ... ok
test_lift_score.test_multiclass_with_false_binary ... ok
test_lift_score.test_binary_with_numpy ... ok
test_lift_score.test_binary ... ok
test_lift_score.test_multidimension ... ok
test_lift_score.test_support_with_two_parameter ... ok
test_lift_score.test_support_with_one_parameter ... ok
test_mcnemar_table.test_input_array_1d ... ok
test_mcnemar_table.test_input_array_lengths_1 ... ok
test_mcnemar_table.test_input_array_lengths_2 ... ok
test_mcnemar_table.test_input_binary_all_right ... ok
test_mcnemar_table.test_input_binary_all_wrong ... ok
test_mcnemar_table.test_input_binary ... ok
test_mcnemar_table.test_input_nonbinary ... ok
test_mcnemar_test.test_input_dimensions ... ok
test_mcnemar_test.test_defaults ... ok
test_mcnemar_test.test_corrected_false ... ok
test_mcnemar_test.test_exact ... ok
test_mcnemar_test.test_exact_corrected ... ok
Test exception is raised when user provides invalid metric argument ... ok
Test exception is raised when user provides invalid vectors ... ok
Test accuracy metric ... ok
Test error metric ... ok
Test exception is raised if label is not binary in f1 ... ok
test_scoring.test_precision ... ok
test_scoring.test_recall ... ok
test_scoring.test_truepositiverate ... ok
test_scoring.test_falsepositiverate ... ok
test_scoring.test_specificity ... ok
test_scoring.test_sensitivity ... ok
test_scoring.test_f1 ... ok
test_scoring.test_matthews_corr_coef ... ok
test_scoring.test_avg_perclass_accuracy ... ok
test_scoring.test_avg_perclass_error ... ok
test_base.test_X_array_pass ... ok
test_base.test_X_y_array_pass ... ok
test_base.test_1D_X ... ok
test_base.test_X_int_y ... ok
test_base.test_X_short_y ... ok
test_kernel_pca.test_default_2components ... ok
test_kernel_pca.test_default_components ... ok
test_kernel_pca.test_proj ... ok
test_kernel_pca.test_reproj_1 ... ok
test_kernel_pca.test_reproj_2 ... ok
test_kernel_pca.test_fail_array_fit ... ok
test_kernel_pca.test_fail_array_transform ... ok
test_linear_discriminant_analysis.test_default_2components ... ok
test_linear_discriminant_analysis.test_default_components ... ok
test_linear_discriminant_analysis.test_evals ... ok
test_linear_discriminant_analysis.test_fail_array_fit ... ok
test_linear_discriminant_analysis.test_fail_array_transform ... ok
test_principal_component_analysis.test_default_components ... ok
test_principal_component_analysis.test_default_2components ... ok
test_principal_component_analysis.test_eigen_vs_svd ... ok
test_principal_component_analysis.test_default_components_zero ... ok
test_principal_component_analysis.test_evals ... ok
test_principal_component_analysis.test_fail_array_dimension ... ok
test_column_selector.test_ColumnSelector ... ok
test_column_selector.test_ColumnSelector_in_gridsearch ... ok
test_exhaustive_feature_selector.test_minfeatures_1 ... ok
test_exhaustive_feature_selector.test_maxfeatures_1 ... ok
test_exhaustive_feature_selector.test_minmaxfeatures_1 ... ok
test_exhaustive_feature_selector.test_knn_wo_cv ... ok
test_exhaustive_feature_selector.test_knn_cv3 ... ok
test_exhaustive_feature_selector.test_regression ... ok
test_exhaustive_feature_selector.test_clone_params_fail ... ok
test_exhaustive_feature_selector.test_clone_params_pass ... ok
test_exhaustive_feature_selector.test_transform_not_fitted ... ok
test_exhaustive_feature_selector.test_fit_transform ... ok
test_exhaustive_feature_selector.test_get_metric_dict_not_fitted ... ok
test_sequential_feature_selector.test_run_default ... ok
test_sequential_feature_selector.test_kfeatures_type_1 ... ok
test_sequential_feature_selector.test_kfeatures_type_2 ... ok
test_sequential_feature_selector.test_kfeatures_type_3 ... ok
test_sequential_feature_selector.test_kfeatures_type_4 ... ok
test_sequential_feature_selector.test_kfeatures_type_5 ... ok
test_sequential_feature_selector.test_knn_wo_cv ... ok
test_sequential_feature_selector.test_knn_cv3 ... ok
test_sequential_feature_selector.test_knn_option_sfs ... ok
test_sequential_feature_selector.test_knn_option_sffs ... ok
test_sequential_feature_selector.test_knn_option_sbs ... ok
test_sequential_feature_selector.test_knn_option_sfbs ... ok
test_sequential_feature_selector.test_knn_option_sfbs_tuplerange_1 ... ok
test_sequential_feature_selector.test_knn_option_sfbs_tuplerange_2 ... ok
test_sequential_feature_selector.test_knn_option_sffs_tuplerange_1 ... ok
test_sequential_feature_selector.test_knn_option_sfs_tuplerange_1 ... ok
test_sequential_feature_selector.test_knn_option_sbs_tuplerange_1 ... ok
test_sequential_feature_selector.test_knn_scoring_metric ... ok
test_sequential_feature_selector.test_regression ... ok
test_sequential_feature_selector.test_regression_in_range ... ok
test_sequential_feature_selector.test_clone_params_fail ... ok
test_sequential_feature_selector.test_clone_params_pass ... ok
test_sequential_feature_selector.test_transform_not_fitted ... ok
test_sequential_feature_selector.test_get_metric_dict_not_fitted ... ok
test_sequential_feature_selector.test_keyboard_interrupt ... 
[2017-05-14 12:55:14] Features: 1/3 -- score: 0.960375816993
STOPPING EARLY DUE TO KEYBOARD INTERRUPT...ok
test_sequential_feature_selector.test_gridsearch ... ok
test_sequential_feature_selector.test_string_scoring_clf ... ok
test_apriori.test_default ... ok
test_association_rules.test_default ... ok
test_association_rules.test_no_support_col ... ok
test_association_rules.test_no_itemsets_col ... ok
test_association_rules.test_wrong_metric ... ok
test_association_rules.test_empty_result ... ok
test_counting.test_factorial ... ok
test_counting.test_num_combinations ... ok
test_counting.test_num_permutations ... ok
test_checkerboard.test_runs ... ok
test_decision_regions.test_pass ... ok
test_decision_regions.test_ylist ... ok
test_decision_regions.test_X_column_fail ... ok
test_decision_regions.test_X_dim_fail ... ok
test_decision_regions.test_X_highlight_fail_if_1d ... ok
test_decision_regions.test_y_int_ary ... ok
test_decision_regions.test_y_ary_dim ... ok
test_learning_curves.test_training_size ... FAIL
test_learning_curves.test_scikit_metrics ... FAIL
test__scaling__minmax_scaling.test_minmax_scaling_arrayerror ... ok
test__scaling__minmax_scaling.test_pandas_minmax_scaling ... ok
test__scaling__minmax_scaling.test_numpy_minmax_scaling ... ok
test__scaling__standardizing.test_pandas_standardize ... ok
test__scaling__standardizing.test_numpy_standardize ... ok
test__scaling__standardizing.test_numpy_single_feat ... ok
test__scaling__standardizing.test_numpy_inplace ... ok
test__scaling__standardizing.test_numpy_single_dim ... ok
test__scaling__standardizing.test_zero_division_pandas ... ok
test__scaling__standardizing.test_zero_division_numpy ... ok
test__scaling__standardizing.test_standardize_all_columns_ndarray ... ok
test__scaling__standardizing.test_standardize_all_columns_pandas ... ok
test_copy_transformer.test_copy ... ok
test_copy_transformer.test_copy_failtype ... ok
test_copy_transformer.test_pipeline ... ok
test_copy_transformer.test_sparse ... ok
test_dense_transformer.test_dense_to_dense ... ok
test_dense_transformer.test_sparse_to_dense ... ok
test_dense_transformer.test_pipeline ... ok
test_mean_centering.test_fitting_error ... ok
test_mean_centering.test_array_mean_centering ... ok
test_mean_centering.test_list_mean_centering ... ok
test_onehot.test_default ... ok
test_onehot.test_autoguessing ... ok
test_onehot.test_list ... ok
test_onehot.test_multidim_list ... ok
test_onehot.test_multidim_array ... ok
test_onehot.test_oneclass ... ok
test_onehot.test_list_morelabels ... ok
test_onehot_transactions.test_fit ... ok
test_onehot_transactions.test_transform ... ok
test_onehot_transactions.test_fit_transform ... ok
test_onehot_transactions.test_inverse_transform ... ok
test_shuffle_shuffle_arrays_unison.test_shuffle_arrays_unison ... ok
test_linear_regression.test_univariate_normal_equation ... ok
test_linear_regression.test_univariate_normal_equation_std ... ok
test_linear_regression.test_univariate_gradient_descent ... ok
test_linear_regression.test_univariate_stochastic_gradient_descent ... ok
test_linear_regression.test_multivariate_normal_equation ... ok
test_linear_regression.test_multivariate_gradient_descent ... ok
test_linear_regression.test_multivariate_stochastic_gradient_descent ... ok
test_linear_regression.test_ary_persistency_in_shuffling ... ok
test_stacking_regression.test_different_models ... ok
test_stacking_regression.test_multivariate ... ok
test_stacking_regression.test_multivariate_class ... ok
test_stacking_regression.test_gridsearch ... ok
test_stacking_regression.test_gridsearch_numerate_regr ... ok
test_stacking_regression.test_get_coeff ... ok
test_stacking_regression.test_get_intercept ... ok
test_stacking_regression.test_get_coeff_fail ... ok
test_generalize_names.test_generalize_names ... ok
test_generalize_names_duplcheck.test_generalize_names_duplcheck ... ok
test_tokenizer.test_tokenizer_words_and_emoticons_1 ... ok
test_tokenizer.test_tokenizer_words_and_emoticons_2 ... ok
test_checking_inputs.test_ok ... ok
test_checking_inputs.test_invalid_type_X ... ok
test_checking_inputs.test_invalid_type_y ... ok
test_checking_inputs.test_invalid_dtype_X ... ok
test_checking_inputs.test_invalid_dtype_y ... ok
test_checking_inputs.test_invalid_dim_y ... ok
test_checking_inputs.test_invalid_dim_X ... ok
test_checking_inputs.test_unequal_length_X ... ok
test_checking_inputs.test_unequal_length_y ... ok
test_counter.test_counter ... Fitting 2 classifiers...
Fitting classifier1: randomforestclassifier (1/2)
RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
            max_depth=None, max_features='auto', max_leaf_nodes=None,
            min_impurity_split=1e-07, min_samples_leaf=1,
            min_samples_split=2, min_weight_fraction_leaf=0.0,
            n_estimators=10, n_jobs=1, oob_score=False, random_state=None,
            verbose=1, warm_start=False)
Fitting classifier2: gaussiannb (2/2)
GaussianNB(priors=None)
Fitting 2 classifiers...
Fitting classifier1: randomforestclassifier (1/2)
RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
            max_depth=None, max_features='auto', max_leaf_nodes=None,
            min_impurity_split=1e-07, min_samples_leaf=1,
            min_samples_split=2, min_weight_fraction_leaf=0.0,
            n_estimators=10, n_jobs=1, oob_score=False, random_state=None,
            verbose=1, warm_start=False)
Training and fitting fold 1 of 2...
Training and fitting fold 2 of 2...
Fitting classifier2: gaussiannb (2/2)
GaussianNB(priors=None)
Training and fitting fold 1 of 2...
Training and fitting fold 2 of 2...
(506, 14)
(2,)
(3, 2)
[ 20.90462293   0.14283326   0.          -0.        ]
(506, 14)


1 iter | 0 sec
2 iter | 0 sec
3 iter | 0 sec
4 iter | 0 sec
5 iter | 0 sec
6 iter | 0 sec
7 iter | 0 sec
8 iter | 0 sec
9 iter | 0 sec
10 iter | 0 sec
11 iter | 0 sec
12 iter | 0 sec
13 iter | 0 sec
14 iter | 0 sec
15 iter | 0 sec
16 iter | 0 sec
17 iter | 0 sec
18 iter | 0 sec
19 iter | 0 sec
20 iter | 0 secok
test_testing.test_without_message ... ok
test_testing.test_with_message ... ok

======================================================================
FAIL: test_learning_curves.test_training_size
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/hotdox/ves/mlxtend/lib64/python3.5/site-packages/nose/case.py", line 198, in runTest
    self.test(*self.arg)
  File "/home/hotdox/dev/mlxtend/mlxtend/plotting/tests/test_learning_curves.py", line 29, in test_training_size
    np.testing.assert_almost_equal(training_errors, desired1, decimal=2)
  File "/home/hotdox/ves/mlxtend/lib64/python3.5/site-packages/numpy/testing/utils.py", line 563, in assert_almost_equal
    return assert_array_almost_equal(actual, desired, decimal, err_msg)
  File "/home/hotdox/ves/mlxtend/lib64/python3.5/site-packages/numpy/testing/utils.py", line 962, in assert_array_almost_equal
    precision=decimal)
  File "/home/hotdox/ves/mlxtend/lib64/python3.5/site-packages/numpy/testing/utils.py", line 778, in assert_array_compare
    raise AssertionError(msg)
AssertionError: 
Arrays are not almost equal to 2 decimals

(mismatch 80.0%)
 x: array([ 0.22,  0.22,  0.22,  0.31,  0.31,  0.3 ,  0.33,  0.32,  0.33,  0.32])
 y: array([ 0.32,  0.33,  0.32,  0.33,  0.3 ,  0.31,  0.31,  0.22,  0.22,  0.22])

======================================================================
FAIL: test_learning_curves.test_scikit_metrics
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/hotdox/ves/mlxtend/lib64/python3.5/site-packages/nose/case.py", line 198, in runTest
    self.test(*self.arg)
  File "/home/hotdox/dev/mlxtend/mlxtend/plotting/tests/test_learning_curves.py", line 54, in test_scikit_metrics
    np.testing.assert_almost_equal(training_errors, desired1, decimal=2)
  File "/home/hotdox/ves/mlxtend/lib64/python3.5/site-packages/numpy/testing/utils.py", line 563, in assert_almost_equal
    return assert_array_almost_equal(actual, desired, decimal, err_msg)
  File "/home/hotdox/ves/mlxtend/lib64/python3.5/site-packages/numpy/testing/utils.py", line 962, in assert_array_almost_equal
    precision=decimal)
  File "/home/hotdox/ves/mlxtend/lib64/python3.5/site-packages/numpy/testing/utils.py", line 778, in assert_array_compare
    raise AssertionError(msg)
AssertionError: 
Arrays are not almost equal to 2 decimals

(mismatch 80.0%)
 x: array([ 0.78,  0.78,  0.78,  0.69,  0.69,  0.7 ,  0.67,  0.68,  0.67,  0.68])
 y: array([ 0.68,  0.67,  0.68,  0.67,  0.7 ,  0.69,  0.69,  0.78,  0.78,  0.78])

----------------------------------------------------------------------
Ran 263 tests in 87.368s

FAILED (failures=2)