def test_scenario4(self):
"""
Scenario: Successfully building test anomaly score predictions from training set as a dataset:
Given I create BigML resources uploading train "<data>" file to find anomaly scores for the training set remotely saved to dataset with no CSV output and log resources in "<output_dir>"
And I check that the source has been created
And I check that the dataset has been created
And I check that the anomaly detector has been created
And I check that the batch anomaly scores prediction has been created
Then I check that the batch anomaly scores dataset exists
And no local CSV file is created
Examples:
| data | output_dir |
| ../data/iris.csv | ./scenario_ab_4 |
"""
print self.test_scenario3.__doc__
examples = [
['data/iris.csv', 'scenario_ab_4']]
for example in examples:
print "\nTesting with:\n", example
test_anomaly.i_create_all_anomaly_resources_without_test_split(self, data=example[0], output_dir=example[1])
test_pred.i_check_create_source(self)
test_pred.i_check_create_dataset(self)
test_anomaly.i_check_create_anomaly(self)
test_batch.i_check_create_batch_anomaly_scores(self)
test_anomaly.i_check_create_batch_anomaly_score_dataset(self)
test_anomaly.i_check_no_local_CSV(self)
def test_scenario4(self):
"""
Scenario: Successfully building test anomaly score predictions from training set as a dataset:
Given I create BigML resources uploading train "<data>" file to find anomaly scores for the training set remotely saved to dataset with no CSV output and log resources in "<output_dir>"
And I check that the source has been created
And I check that the dataset has been created
And I check that the anomaly detector has been created
And I check that the batch anomaly scores prediction has been created
Then I check that the batch anomaly scores dataset exists
And no local CSV file is created
Examples:
| data | output_dir |
| ../data/iris.csv | ./scenario_ab_4 |
"""
print self.test_scenario3.__doc__
examples = [['data/iris.csv', 'scenario_ab_4']]
for example in examples:
print "\nTesting with:\n", example
test_anomaly.i_create_all_anomaly_resources_without_test_split(
self, data=example[0], output_dir=example[1])
test_pred.i_check_create_source(self)
test_pred.i_check_create_dataset(self)
test_anomaly.i_check_create_anomaly(self)
test_batch.i_check_create_batch_anomaly_scores(self)
test_anomaly.i_check_create_batch_anomaly_score_dataset(self)
test_anomaly.i_check_no_local_CSV(self)
