def test_scenario4(self):
"""
Scenario: Successfully creating a model and check its data distribution:
Given I create a data source uploading a "<data>" file
And I wait until the source is ready less than <time_1> secs
And I create a dataset
And I wait until the dataset is ready less than <time_2> secs
And I create a model
And I wait until the model is ready less than <time_3> secs
And I create a local model
And I translate the tree into IF_THEN rules
Then I check the data distribution with "<expected_file>" file
Examples:
| data | time_1 | time_2 | time_3 | expected_file |
| data/iris.csv | 10 | 10 | 10 | data/model/data_distribution_iris.txt |
| data/iris_sp_chars.csv | 10 | 10 | 10 | data/model/data_distribution_iris_sp_chars.txt |
| data/spam.csv | 20 | 20 | 30 | data/model/data_distribution_spam.txt |
| data/grades.csv | 10 | 10 | 10 | data/model/data_distribution_grades.txt |
| data/diabetes.csv | 20 | 20 | 30 | data/model/data_distribution_diabetes.txt |
| data/iris_missing2.csv | 10 | 10 | 10 | data/model/data_distribution_iris_missing2.txt |
| data/tiny_kdd.csv | 20 | 20 | 30 | data/model/data_distribution_tiny_kdd.txt |
"""
print self.test_scenario4.__doc__
examples = [
["data/iris.csv", "10", "10", "10", "data/model/data_distribution_iris.txt"],
["data/iris_sp_chars.csv", "10", "10", "10", "data/model/data_distribution_iris_sp_chars.txt"],
["data/spam.csv", "10", "10", "10", "data/model/data_distribution_spam.txt"],
["data/grades.csv", "10", "10", "10", "data/model/data_distribution_grades.txt"],
["data/diabetes.csv", "10", "10", "10", "data/model/data_distribution_diabetes.txt"],
["data/iris_missing2.csv", "10", "10", "10", "data/model/data_distribution_iris_missing2.txt"],
["data/tiny_kdd.csv", "10", "10", "10", "data/model/data_distribution_tiny_kdd.txt"],
]
for example in examples:
print "\nTesting with:\n", example
source_create.i_upload_a_file(self, example[0])
source_create.the_source_is_finished(self, example[1])
dataset_create.i_create_a_dataset(self)
dataset_create.the_dataset_is_finished_in_less_than(self, example[2])
model_create.i_create_a_model(self)
model_create.the_model_is_finished_in_less_than(self, example[3])
prediction_compare.i_create_a_local_model(self)
inspect_model.i_check_the_data_distribution(self, example[4])
def test_scenario4(self):
"""
Scenario: Successfully creating a model and check its data distribution:
Given I create a data source uploading a "<data>" file
And I wait until the source is ready less than <time_1> secs
And I create a dataset
And I wait until the dataset is ready less than <time_2> secs
And I create a model
And I wait until the model is ready less than <time_3> secs
And I create a local model
And I translate the tree into IF_THEN rules
Then I check the data distribution with "<expected_file>" file
Examples:
| data | time_1 | time_2 | time_3 | expected_file |
| data/iris.csv | 10 | 10 | 10 | data/model/data_distribution_iris.txt |
| data/iris_sp_chars.csv | 10 | 10 | 10 | data/model/data_distribution_iris_sp_chars.txt |
| data/spam.csv | 20 | 20 | 30 | data/model/data_distribution_spam.txt |
| data/grades.csv | 10 | 10 | 10 | data/model/data_distribution_grades.txt |
| data/diabetes.csv | 20 | 20 | 30 | data/model/data_distribution_diabetes.txt |
| data/iris_missing2.csv | 10 | 10 | 10 | data/model/data_distribution_iris_missing2.txt |
| data/tiny_kdd.csv | 20 | 20 | 30 | data/model/data_distribution_tiny_kdd.txt |
"""
print self.test_scenario4.__doc__
examples = [
['data/iris.csv', '10', '10', '10', 'data/model/data_distribution_iris.txt'],
['data/iris_sp_chars.csv', '10', '10', '10', 'data/model/data_distribution_iris_sp_chars.txt'],
['data/spam.csv', '10', '10', '10', 'data/model/data_distribution_spam.txt'],
['data/grades.csv', '10', '10', '10', 'data/model/data_distribution_grades.txt'],
['data/diabetes.csv', '10', '10', '10', 'data/model/data_distribution_diabetes.txt'],
['data/iris_missing2.csv', '10', '10', '10', 'data/model/data_distribution_iris_missing2.txt'],
['data/tiny_kdd.csv', '10', '10', '10', 'data/model/data_distribution_tiny_kdd.txt']]
for example in examples:
print "\nTesting with:\n", example
source_create.i_upload_a_file(self, example[0])
source_create.the_source_is_finished(self, example[1])
dataset_create.i_create_a_dataset(self)
dataset_create.the_dataset_is_finished_in_less_than(self, example[2])
model_create.i_create_a_model(self)
model_create.the_model_is_finished_in_less_than(self, example[3])
prediction_compare.i_create_a_local_model(self)
inspect_model.i_check_the_data_distribution(self, example[4])