def test_confustion_matrix(self):
# Returns 2 true positives (TP) and 1 false positive (FP).
v = metrics.confusion_matrix(lambda document: True, self.documents)
self.assertEqual(v, (2,0,1,0))
# Returns 1 true negative (TN) and 2 false negatives (FN).
v = metrics.confusion_matrix(lambda document: False, self.documents)
self.assertEqual(v, (0,1,0,2))
def test_confustion_matrix(self):
# Assert 2 true positives (TP) and 1 false positive (FP).
v = metrics.confusion_matrix(lambda document: True, self.documents)
self.assertEqual(v, (2,0,1,0))
# Assert 1 true negative (TN) and 2 false negatives (FN).
v = metrics.confusion_matrix(lambda document: False, self.documents)
self.assertEqual(v, (0,1,0,2))
print("pattern.metrics.confusion_matrix()" )
def test_confustion_matrix(self):
# Assert 2 true positives (TP) and 1 false positive (FP).
v = metrics.confusion_matrix(lambda document: True, self.documents)
self.assertEqual(v, (2, 0, 1, 0))
# Assert 1 true negative (TN) and 2 false negatives (FN).
v = metrics.confusion_matrix(lambda document: False, self.documents)
self.assertEqual(v, (0, 1, 0, 2))
print("pattern.metrics.confusion_matrix()")