def test_example1(self):
assert max_rule(example1['data']) == example1['max']
def test_with_mult_classifiers_one_class(self):
example = np.array([[0.3, 0.5, 0.1]])
assert max_rule(example) == 0
assert min_rule(example) == 0
assert mean_rule(example) == 0
assert median_rule(example) == 0
def test_with_one_classifier_mult_classes(self):
example = np.array([[0.1], [0.5], [0.4]])
assert max_rule(example) == 1
assert min_rule(example) == 1
assert mean_rule(example) == 1
assert median_rule(example) == 1
def test_with_one_classifier_one_class(self):
example = np.array([[1.]])
assert max_rule(example) == 0
assert min_rule(example) == 0
assert mean_rule(example) == 0
assert median_rule(example) == 0
def test_with_mult_classifiers_one_class(self):
example = np.array([[0.3, 0.5, 0.1]])
assert max_rule(example) == 0
assert min_rule(example) == 0
assert mean_rule(example) == 0
assert median_rule(example) == 0
def test_with_one_classifier_one_class(self):
example = np.array([[1.]])
assert max_rule(example) == 0
assert min_rule(example) == 0
assert mean_rule(example) == 0
assert median_rule(example) == 0
def test_example4(self):
assert max_rule(example4['data']) == example4['max']
def test_with_one_classifier_mult_classes(self):
example = np.array([[0.1],[0.5],[0.4]])
assert max_rule(example) == 1
assert min_rule(example) == 1
assert mean_rule(example) == 1
assert median_rule(example) == 1