e87334a5fbe16bd1f16357b452036b578ca3b5f8,tests/automated_tests.py,,,#,4

Before Change

// Make this an OrderedDict so that we run the tests in a consistent order
test_names = OrderedDict([
    ("optimize_final_model_classification", classifier_tests.optimize_final_model_classification),
    ("perform_feature_selection_true_classification", classifier_tests.perform_feature_selection_true_classification),
    ("perform_feature_selection_false_classification", classifier_tests.perform_feature_selection_false_classification),
    ("perform_feature_scaling_true_classification", classifier_tests.perform_feature_scaling_true_classification),
    ("perform_feature_scaling_false_classification", classifier_tests.perform_feature_scaling_false_classification),
    ("user_input_func_classification", classifier_tests.user_input_func_classification),
    ("binary_classification_predict_on_Predictor_instance", classifier_tests.binary_classification_predict_on_Predictor_instance),
    ("multilabel_classification_predict_on_Predictor_instance", classifier_tests.multilabel_classification_predict_on_Predictor_instance),
    ("binary_classification_predict_proba_on_Predictor_instance", classifier_tests.binary_classification_predict_proba_on_Predictor_instance),
    ("getting_single_predictions_classification", classifier_tests.getting_single_predictions_classification),
    ("feature_learning_getting_single_predictions_classification", classifier_tests.feature_learning_getting_single_predictions_classification),
    ("getting_single_predictions_nlp_date_multilabel_classification", classifier_tests.getting_single_predictions_nlp_date_multilabel_classification),
    ("categorical_ensembling_classification", classifier_tests.categorical_ensembling_classification),

    ("optimize_final_model_regression", regressor_tests.optimize_final_model_regression),
    ("perform_feature_selection_true_regression", regressor_tests.perform_feature_selection_true_regression),
    ("perform_feature_selection_false_regression", regressor_tests.perform_feature_selection_false_regression),
    ("perform_feature_scaling_true_regression", regressor_tests.perform_feature_scaling_true_regression),
    ("perform_feature_scaling_false_regression", regressor_tests.perform_feature_scaling_false_regression),
    ("getting_single_predictions_regression", regressor_tests.getting_single_predictions_regression),
    ("feature_learning_getting_single_predictions_regression", regressor_tests.feature_learning_getting_single_predictions_regression),
    ("categorical_ensembling_regression", regressor_tests.categorical_ensembling_regression)
])


def test_generator():
    for model_name in training_parameters["model_names"]:

After Change

// Make this an OrderedDict so that we run the tests in a consistent order
test_names = OrderedDict([
    // ("optimize_final_model_classification", classifier_tests.optimize_final_model_classification),
    ("getting_single_predictions_classification", classifier_tests.getting_single_predictions_classification),
    ("feature_learning_getting_single_predictions_classification", classifier_tests.feature_learning_getting_single_predictions_classification),
    ("getting_single_predictions_multilabel_classification", classifier_tests.getting_single_predictions_multilabel_classification),
    ("categorical_ensembling_classification", classifier_tests.categorical_ensembling_classification),
    ("feature_learning_categorical_ensembling_getting_single_predictions_classification", classifier_tests.feature_learning_categorical_ensembling_getting_single_predictions_classification),

    ("optimize_final_model_regression", regressor_tests.optimize_final_model_regression),
    ("getting_single_predictions_regression", regressor_tests.getting_single_predictions_regression),
    ("feature_learning_getting_single_predictions_regression", regressor_tests.feature_learning_getting_single_predictions_regression),
    ("categorical_ensembling_regression", regressor_tests.categorical_ensembling_regression),
    ("feature_learning_categorical_ensembling_getting_single_predictions_regression", regressor_tests.feature_learning_categorical_ensembling_getting_single_predictions_regression)
])


def test_generator():
    for model_name in training_parameters["model_names"]:

Instances