def test_scenario1(self):
"""
Scenario: Successfully computing predictions combinations:
Given I create a MultiVote for the set of predictions in file <predictions>
When I compute the prediction with confidence using method "<method>"
And I compute the prediction without confidence using method "<method>"
Then the combined prediction is "<prediction>"
And the combined prediction without confidence is "<prediction>"
And the confidence for the combined prediction is <confidence>
Examples:
| predictions | method | prediction | confidence |
| ../data/predictions_c.json| 0 | a | 0.450471270879 |
| ../data/predictions_c.json| 1 | a | 0.552021302649 |
| ../data/predictions_c.json| 2 | a | 0.403632421178 |
| ../data/predictions_r.json| 0 | 1.55555556667 | 0.400079152063 |
| ../data/predictions_r.json| 1 | 1.59376845074 | 0.248366474212 |
| ../data/predictions_r.json| 2 | 1.55555556667 | 0.400079152063 |
"""
print self.test_scenario1.__doc__
examples = [
['data/predictions_c.json', '0', 'a', '0.450471270879'],
['data/predictions_c.json', '1', 'a', '0.552021302649'],
['data/predictions_c.json', '2', 'a', '0.403632421178'],
['data/predictions_r.json', '0', '1.55555556667', '0.400079152063'],
['data/predictions_r.json', '1', '1.59376845074', '0.248366474212'],
['data/predictions_r.json', '2', '1.55555556667', '0.400079152063']]
for example in examples:
print "\nTesting with:\n", example
multivote_prediction.i_create_a_multivote(self, example[0])
multivote_prediction.compute_prediction(self, example[1])
multivote_prediction.compute_prediction_no_confidence(self, example[1])
multivote_prediction.check_combined_prediction(self, example[2])
multivote_prediction.check_combined_prediction_no_confidence(self, example[2])
multivote_prediction.check_combined_confidence(self, example[3])
def test_scenario1(self):
"""
Scenario: Successfully computing predictions combinations:
Given I create a MultiVote for the set of predictions in file <predictions>
When I compute the prediction with confidence using method "<method>"
And I compute the prediction without confidence using method "<method>"
Then the combined prediction is "<prediction>"
And the combined prediction without confidence is "<prediction>"
And the confidence for the combined prediction is <confidence>
Examples:
| predictions | method | prediction | confidence |
| ../data/predictions_c.json| 0 | a | 0.450471270879 |
| ../data/predictions_c.json| 1 | a | 0.552021302649 |
| ../data/predictions_c.json| 2 | a | 0.403632421178 |
| ../data/predictions_r.json| 0 | 1.55555556667 | 0.400079152063 |
| ../data/predictions_r.json| 1 | 1.59376845074 | 0.248366474212 |
| ../data/predictions_r.json| 2 | 1.55555556667 | 0.400079152063 |
"""
print self.test_scenario1.__doc__
examples = [
['data/predictions_c.json', '0', 'a', '0.450471270879'],
['data/predictions_c.json', '1', 'a', '0.552021302649'],
['data/predictions_c.json', '2', 'a', '0.403632421178'],
['data/predictions_r.json', '0', '1.55555556667', '0.400079152063'],
['data/predictions_r.json', '1', '1.59376845074', '0.248366474212'],
['data/predictions_r.json', '2', '1.55555556667', '0.400079152063']]
for example in examples:
print "\nTesting with:\n", example
multivote_prediction.i_create_a_multivote(self, example[0])
multivote_prediction.compute_prediction(self, example[1])
multivote_prediction.compute_prediction_no_confidence(self, example[1])
multivote_prediction.check_combined_prediction(self, example[2])
multivote_prediction.check_combined_prediction_no_confidence(self, example[2])
multivote_prediction.check_combined_confidence(self, example[3])