def test_scenario07(self):
"""
Scenario: Successfully building test predictions from models file
Given I have previously executed "<scenario>" or reproduce it with arguments <kwargs>
And I have previously executed "<scenario2>" or reproduce it with arguments <kwargs2>
And I create BigML resources using models in file "<models_file>" to test "<test>" and log predictions in "<output>"
And I check that the predictions are ready
Then the local prediction file is like "<predictions_file>"
Examples:
|scenario | kwargs |scenario2 | kwargs2 | models_file | test | output |predictions_file |
"""
print self.test_scenario07.__doc__
examples = [
['scenario1', '{"data": "data/iris.csv", "output": "scenario1/predictions.csv", "test": "data/test_iris.csv"}',
'scenario5', '{"number_of_models": 10, "test": "data/test_iris.csv", "output": "scenario5/predictions.csv"}',
'scenario5/models', 'data/test_iris.csv', 'scenario6/predictions.csv', 'check_files/predictions_iris.csv']]
show_doc(self.test_scenario07, examples)
for example in examples:
print "\nTesting with:\n", example
test_pred.i_have_previous_scenario_or_reproduce_it(self, example[0], example[1])
test_pred.i_have_previous_scenario_or_reproduce_it(self, example[2], example[3])
test_pred.i_create_resources_from_models_file(self, multi_label=None, models_file=example[4], test=example[5], output=example[6])
test_pred.i_check_create_predictions(self)
test_pred.i_check_predictions(self, example[7])
def test_scenario4(self):
"""
Scenario: Successfully building test predictions from models file
Given I have previously executed "<scenario>" or reproduce it with arguments <kwargs>
And I create BigML multi-label resources using models in file "<models_file>" to test "<test>" and log predictions in "<output>"
And I check that the predictions are ready
Then the local prediction file is like "<predictions_file>"
Examples:
|scenario | kwargs | models_file | test | output |predictions_file |
| scenario_ml_1| {"tag": "my_multilabel_1", "data": "../data/multilabel.csv", "label_separator": ":", "number_of_labels": 7, "training_separator": ",", "output": "./scenario_ml_1/predictions.csv", "test": "../data/test_multilabel.csv"} | ./scenario_ml_1/models | ../data/test_multilabel.csv | ./scenario_ml_4/predictions.csv | ./check_files/predictions_ml_comma.csv |
"""
print self.test_scenario4.__doc__
examples = [[
'scenario_ml_1',
'{"tag": "my_multilabel_1", "data": "data/multilabel.csv", "label_separator": ":", "number_of_labels": 7, "training_separator": ",", "output": "scenario_ml_1/predictions.csv", "test": "data/test_multilabel.csv"}',
'scenario_ml_1/models', 'data/test_multilabel.csv',
'scenario_ml_4/predictions.csv',
'check_files/predictions_ml_comma.csv'
]]
for example in examples:
print "\nTesting with:\n", example
test_pred.i_have_previous_scenario_or_reproduce_it(
self, example[0], example[1])
test_pred.i_create_resources_from_models_file(
self,
multi_label='multi-label',
models_file=example[2],
test=example[3],
output=example[4])
test_pred.i_check_create_predictions(self)
test_pred.i_check_predictions(self, example[5])
def test_scenario07(self):
"""
Scenario: Successfully building test predictions from models file
Given I have previously executed "<scenario>" or reproduce it with arguments <kwargs>
And I have previously executed "<scenario2>" or reproduce it with arguments <kwargs2>
And I create BigML resources using models in file "<models_file>" to test "<test>" and log predictions in "<output>"
And I check that the predictions are ready
Then the local prediction file is like "<predictions_file>"
Examples:
|scenario | kwargs |scenario2 | kwargs2 | models_file | test | output |predictions_file |
| scenario1| {"data": "../data/iris.csv", "output": "./scenario1/predictions.csv", "test": "../data/test_iris.csv"} | scenario5| {"number_of_models": 10, "test": "../data/test_iris.csv", "output": "./scenario5/predictions.csv"} | ./scenario5/models | ../data/test_iris.csv | ./scenario6/predictions.csv | ./check_files/predictions_iris.csv |
"""
print self.test_scenario07.__doc__
examples = [
['scenario1', '{"data": "data/iris.csv", "output": "scenario1/predictions.csv", "test": "data/test_iris.csv"}',
'scenario5', '{"number_of_models": 10, "test": "data/test_iris.csv", "output": "scenario5/predictions.csv"}',
'scenario5/models', 'data/test_iris.csv', 'scenario6/predictions.csv', 'check_files/predictions_iris.csv']]
for example in examples:
print "\nTesting with:\n", example
test_pred.i_have_previous_scenario_or_reproduce_it(self, example[0], example[1])
test_pred.i_have_previous_scenario_or_reproduce_it(self, example[2], example[3])
test_pred.i_create_resources_from_models_file(self, multi_label=None, models_file=example[4], test=example[5], output=example[6])
test_pred.i_check_create_predictions(self)
test_pred.i_check_predictions(self, example[7])
def test_scenario4(self):
"""
Scenario: Successfully building test predictions from models file
Given I have previously executed "<scenario>" or reproduce it with arguments <kwargs>
And I create BigML multi-label resources using models in file "<models_file>" to test "<test>" and log predictions in "<output>"
And I check that the predictions are ready
Then the local prediction file is like "<predictions_file>"
Examples:
|scenario | kwargs | models_file | test | output |predictions_file |
| scenario_ml_1| {"tag": "my_multilabel_1", "data": "../data/multilabel.csv", "label_separator": ":", "number_of_labels": 7, "training_separator": ",", "output": "./scenario_ml_1/predictions.csv", "test": "../data/test_multilabel.csv"} | ./scenario_ml_1/models | ../data/test_multilabel.csv | ./scenario_ml_4/predictions.csv | ./check_files/predictions_ml_comma.csv |
"""
print self.test_scenario4.__doc__
examples = [
['scenario_ml_1', '{"tag": "my_multilabel_1", "data": "data/multilabel.csv", "label_separator": ":", "number_of_labels": 7, "training_separator": ",", "output": "scenario_ml_1/predictions.csv", "test": "data/test_multilabel.csv"}', 'scenario_ml_1/models', 'data/test_multilabel.csv', 'scenario_ml_4/predictions.csv', 'check_files/predictions_ml_comma.csv']]
for example in examples:
print "\nTesting with:\n", example
test_pred.i_have_previous_scenario_or_reproduce_it(self, example[0], example[1])
test_pred.i_create_resources_from_models_file(self, multi_label='multi-label', models_file=example[2], test=example[3], output=example[4])
test_pred.i_check_create_predictions(self)
test_pred.i_check_predictions(self, example[5])
