Did I find the right examples for you? yes no

All Samples(9)  |  Call(0)  |  Derive(9)  |  Import(0)

src/o/r/orangecontrib.earth-0.1.3/orangecontrib/earth/tests/test_earth.py   orangecontrib.earth(Download)
class TestScoreEarthImportance(testing.MeasureAttributeTestCase):
    def setUp(self):
        self.measure = earth.ScoreEarthImportance(t=5, score_what="rss")
 
 

src/o/r/Orange-2.7.2/Orange/testing/unit/tests/test_svm.py   Orange(Download)
class TestScoreSVMWeights(testing.MeasureAttributeTestCase):
    MEASURE = ScoreSVMWeights()
 
@datasets_driven(datasets=testing.CLASSIFICATION_DATASETS)
class TestScoreSVMWeightsWithMCSVM(testing.MeasureAttributeTestCase):

src/o/r/Orange-2.7.2/Orange/testing/unit/tests/test_measures.py   Orange(Download)
class TestMeasureAttr_GainRatio(testing.MeasureAttributeTestCase):
    MEASURE = scoring.GainRatio()
 
 
@datasets_driven(datasets=testing.CLASSIFICATION_DATASETS,
                 preprocess=testing.DISCRETIZE_DOMAIN)
class TestMeasureAttr_InfoGain(testing.MeasureAttributeTestCase):
class TestMeasureAttr_Distance(testing.MeasureAttributeTestCase):
    MEASURE = scoring.Distance()
 
 
@datasets_driven(datasets=testing.CLASSIFICATION_DATASETS,
                 preprocess=testing.DISCRETIZE_DOMAIN)
class TestMeasureAttr_MDL(testing.MeasureAttributeTestCase):
class TestMeasureAttr_Relief(testing.MeasureAttributeTestCase):
    MEASURE = scoring.Relief()
 
 
@datasets_driven(datasets=testing.REGRESSION_DATASETS,