def test_scenario11(self):
"""
Scenario: Successfully building feature selection from dataset setting objective:
Given I create BigML dataset uploading train "<data>" file in "<output>"
And I check that the source has been created
And I check that the dataset has been created
And I create BigML feature selection <kfold>-fold cross-validation with options "<options>"
And I check that the <kfold>-datasets have been created
And I check that the <kfold>-ensembles have been created
And I check that all the <kfold>-fold cross-validations have been created
Then the predictions file "<predictions_file>" is like "<estimated_file>"
Examples:
| data |output | kfold | options | predictions_file | estimated_file
| ../data/iris.csv |./scenario_a_14/evaluation | 2 | --exclude-features="species,petal length" --predictions.csv --number-of-models 2| scenario_a_14/kfold2_pred/predictions.csv | check_files/analyze_predictions_iris_e.csv
"""
print self.test_scenario11.__doc__
examples = [
['data/iris.csv', 'scenario_a_14/evaluation', '2', ' --exclude-features="petal length,sepal length" --predictions-csv --number-of-models 2','scenario_a_14/test/kfold2_pred/predictions.csv', 'check_files/analyze_predictions_iris_e.csv']]
for example in examples:
print "\nTesting with:\n", example
test_pred.i_create_dataset(self, data=example[0], output=example[1])
test_pred.i_check_create_source(self)
test_pred.i_check_create_dataset(self)
test_pred.i_create_kfold_cross_validation_options(self, k_folds=example[2], options=example[3])
test_pred.i_check_create_kfold_datasets(self, example[2])
test_pred.i_check_create_kfold_ensembles(self, example[2])
test_pred.i_check_create_all_kfold_cross_validations(self, example[2])
test_pred.i_check_predictions_file(self, example[4], example[5])
def test_scenario11(self):
"""
Scenario: Successfully building feature selection from dataset setting objective:
Given I create BigML dataset uploading train "<data>" file in "<output>"
And I check that the source has been created
And I check that the dataset has been created
And I create BigML feature selection <kfold>-fold cross-validation with options "<options>"
And I check that the <kfold>-datasets have been created
And I check that the <kfold>-ensembles have been created
And I check that all the <kfold>-fold cross-validations have been created
Then the predictions file "<predictions_file>" is like "<estimated_file>"
Examples:
| data |output | kfold | options | predictions_file | estimated_file
| ../data/iris.csv |./scenario_a_14/evaluation | 2 | --exclude-features="species,petal length" --predictions.csv --number-of-models 2| scenario_a_14/kfold2_pred/predictions.csv | check_files/analyze_predictions_iris_e.csv
"""
print self.test_scenario11.__doc__
examples = [
['data/iris.csv', 'scenario_a_14/evaluation', '2', ' --exclude-features="petal length,sepal length" --predictions-csv --number-of-models 2','scenario_a_14/test/kfold2_pred/predictions.csv', 'check_files/analyze_predictions_iris_e.csv']]
for example in examples:
print "\nTesting with:\n", example
test_pred.i_create_dataset(self, data=example[0], output=example[1])
test_pred.i_check_create_source(self)
test_pred.i_check_create_dataset(self)
test_pred.i_create_kfold_cross_validation_options(self, k_folds=example[2], options=example[3])
test_pred.i_check_create_kfold_datasets(self, example[2])
test_pred.i_check_create_kfold_ensembles(self, example[2])
test_pred.i_check_create_all_kfold_cross_validations(self, example[2])
test_pred.i_check_predictions_file(self, example[4], example[5])