def testClassify(self): p = 0.1 binomialClassifier = BinomialClassifier(p) y = binomialClassifier.classify(self.X) positives = float(sum(y == 1)) / self.X.shape[0] logging.debug(positives) self.assertAlmostEqual(p, positives, 1)
def testClassify(self): p = 0.1 binomialClassifier = BinomialClassifier(p) y = binomialClassifier.classify(self.X) positives = float(sum(y==1))/self.X.shape[0] logging.debug(positives) self.assertAlmostEqual(p, positives, 1)
def testLearnModel(self): p = 0.1 binomialClassifier = BinomialClassifier(p) binomialClassifier.learnModel(self.X, self.y)