def testIris_proba(self):
random.seed(42)
iris = datasets.load_iris()
classifier = skflow.TensorFlowClassifier(n_classes=3)
classifier.fit(iris.data, iris.target)
score = log_loss(iris.target, classifier.predict_proba(iris.data))
self.assertLess(score, 0.8, "Failed with score = {0}".format(score))
def testIris(self):
random.seed(42)
iris = datasets.load_iris()
classifier = skflow.TensorFlowClassifier(n_classes=3)
classifier.fit(iris.data, iris.target)
score = accuracy_score(classifier.predict(iris.data), iris.target)
self.assertGreater(score, 0.5, "Failed with score = {0}".format(score))