Python are_classes_one_hot_encoded Examples

Example #1

 def test_multidimensional_vector(self):
     classes = [[0, 0, 1], [1, 0, 0], [0, 1, 0]]
     try:
         dataset.are_classes_one_hot_encoded(classes)
     except AssertionError:
         pass
     else:
         self.fail("Assertion Error not raised")

Example #2

    def test_non_binary_classes(self):
        classes = [[1.23, 0.3, 1.23], ["", "c", ""]]

        for class_option in classes:
            self.assertFalse(dataset.are_classes_one_hot_encoded(class_option))

Example #3

    def test_not_one_hot_encoded_classes(self):
        classes = [[1, 0, 1], [False, True, True], [True, 1, False]]

        for class_option in classes:
            self.assertFalse(dataset.are_classes_one_hot_encoded(class_option))

Example #4

    def test_integer_classes(self):
        classes = [[0, 0, 1], [1, 0, 0], [0, 1, 0]]

        for class_option in classes:
            self.assertTrue(dataset.are_classes_one_hot_encoded(class_option))

Example #5

 def test_more_than_three_classes(self):
     classes = [False, False, True, False, False, False, False]
     self.assertTrue(dataset.are_classes_one_hot_encoded(classes))

Example #6

 def test_boolean_classes(self):
     classes = [[False, False, True], [True, False, False],
                [False, True, False]]
     for class_option in classes:
         self.assertTrue(dataset.are_classes_one_hot_encoded(class_option))