def test_scenario4(self):
"""
Scenario: Successfully building a prediction reify output in python
Given I create a BigML prediction for "<input_data>" from a model with data "<data>" and params "<params>"
And I check that the source has been created
And I check that the dataset has been created
And I check that the model has been created
And I check that the prediction has been created
Then I create a reify output in "<output>" for "<language>"
And the "<output>" file is like "<check_file>"
Examples:
| data | output | params |check_file | language | input_data
| data/iris.csv | scenario_re4/reify.py | {"name": "my_prediction_name"}|../check_files/reify_prediction.py | python | {'petal length': 0.5}
"""
print self.test_scenario4.__doc__
examples = [
['data/iris.csv', 'scenario_re4/reify.py', {"name": "my_prediction_name"}, 'check_files/reify_prediction.py', 'python', {'petal length': 0.5}]]
for example in examples:
print "\nTesting with:\n", example
test_reify.create_prediction(example[0], input_data=example[5],
output=example[1],
args=example[2])
test_reify.i_create_output(self, example[1], example[4],
resource_type='prediction')
test_reify.i_check_output_file(self, output=example[1],
check_file=example[3])
def test_scenario4(self):
"""
Scenario: Successfully building a prediction reify output in python
Given I create a BigML prediction for "<input_data>" from a model with data "<data>" and params "<params>"
And I check that the source has been created
And I check that the dataset has been created
And I check that the model has been created
And I check that the prediction has been created
Then I create a reify output in "<output>" for "<language>"
And the "<output>" file is like "<check_file>"
Examples:
| data | output | params |check_file | language | input_data
| data/iris.csv | scenario_re4/reify.py | {"name": "my_prediction_name"}|../check_files/reify_prediction.py | python | {'petal length': 0.5}
"""
print self.test_scenario4.__doc__
examples = [
['data/iris.csv', 'scenario_re4/reify.py', {"name": "my_prediction_name"}, 'check_files/reify_prediction.py', 'python', {'petal length': 0.5}]]
for example in examples:
print "\nTesting with:\n", example
test_reify.create_prediction(example[0], input_data=example[5],
output=example[1],
args=example[2])
test_reify.i_create_output(self, example[1], example[4],
resource_type='prediction')
test_reify.i_check_output_file(self, output=example[1],
check_file=example[3])