Python TolerantFeatureEvaluator.fit示例

示例#1

文件： test_feature_evaluator.py 项目： DailyActie/AI_ML_LIB-featureforge

class TolerantEvaluatorTransformTests(TestCase):
    def test_errors_are_raised(self):
        self.ev = TolerantFeatureEvaluator([BrokenFeature, DumbFeatureA])
        self.ev.fit([])

        def transform():
            list(self.ev.transform(SAMPLES))  # force generation

        self.assertRaises(RuntimeError, transform)

示例#2

文件： test_feature_evaluator.py 项目： wavelets/featureforge

class TolerantEvaluatorTransformTests(TestCase):

    def test_errors_are_raised(self):
        self.ev = TolerantFeatureEvaluator([BrokenFeature, DumbFeatureA])
        self.ev.fit([])

        def transform():
            list(self.ev.transform(SAMPLES))  # force generation
        self.assertRaises(RuntimeError, transform)

示例#3

文件： test_feature_evaluator.py 项目： DailyActie/AI_ML_LIB-featureforge

class TolerantEvaluatorFitTests(TestCase, TolerantFittingCases):
    fit_method_name = 'fit'

    def test_returns_itself(self):
        self.ev = TolerantFeatureEvaluator([DumbFeatureA])
        self.assertEqual(self.ev.fit([]), self.ev)

示例#4

文件： test_feature_evaluator.py 项目： wavelets/featureforge

class TolerantEvaluatorFitTests(TestCase, TolerantFittingCases):
    fit_method_name = 'fit'

    def test_returns_itself(self):
        self.ev = TolerantFeatureEvaluator([DumbFeatureA])
        self.assertEqual(self.ev.fit([]), self.ev)