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)
def testLearnModel(self):
p = 0.1
binomialClassifier = BinomialClassifier(p)
binomialClassifier.learnModel(self.X, self.y)