Python ModelCrossValidation._find_most_frequent_dict Beispiele

Beispiel #1

    def test_find_most_frequent_dict(self):
        dicts = [
         {'norm_type':'normalize', 'n_estimators':10, 'random_state':0},
         {'norm_type':'normalize', 'n_estimators':50, 'random_state':0},
         {'norm_type':'clip_0to1', 'n_estimators':10, 'random_state':0},
         {'norm_type':'clip_0to1', 'n_estimators':50, 'random_state':0},
         {'norm_type':'clip_0to1', 'n_estimators':50, 'random_state':0},
        ]

        dict, count = ModelCrossValidation._find_most_frequent_dict(dicts)
        expected_dict =  {'norm_type':'clip_0to1', 'n_estimators':50, 'random_state':0}
        expected_count = 2

        self.assertEquals(dict, expected_dict)
        self.assertEquals(count, expected_count)

Beispiel #2

Datei: cross_validation_test.py Projekt: henrylee18/vmaf

    def test_find_most_frequent_dict(self):
        dicts = [
         {'norm_type':'normalize', 'n_estimators':10, 'random_state':0},
         {'norm_type':'normalize', 'n_estimators':50, 'random_state':0},
         {'norm_type':'clip_0to1', 'n_estimators':10, 'random_state':0},
         {'norm_type':'clip_0to1', 'n_estimators':50, 'random_state':0},
         {'norm_type':'clip_0to1', 'n_estimators':50, 'random_state':0},
        ]

        dict, count = ModelCrossValidation._find_most_frequent_dict(dicts)
        expected_dict =  {'norm_type':'clip_0to1', 'n_estimators':50, 'random_state':0}
        expected_count = 2

        self.assertEquals(dict, expected_dict)
        self.assertEquals(count, expected_count)