554e2dda6e15976d6b9d4657b2eeff323636514b,src/skmultiflow/data/generators/stagger_generator.py,STAGGERGenerator,__configure,#STAGGERGenerator#,97

Before Change

    def __configure(self):
        self.sample_random = None
        self.sample_random = check_random_state(self.sample_seed)
        self.next_class_should_be_zero = False
        self.outputs_labels = ["class"]
        self.features_labels = ["size", "color", "shape"]
        self.size_labels = ["small", "medium", "large"]
        self.color_labels = ["red", "blue", "green"]

After Change

        self.__configure()

    def __configure(self):

        self.target_header = ["target_0"]
        self.feature_header = ["size", "color", "shape"]
        self.size_labels = ["small", "medium", "large"]
        self.color_labels = ["red", "blue", "green"]
        self.shape_labels = ["circle", "square", "triangle"]
        self.classes = [i for i in range(self.n_classes)]

    @property
    def classification_function_idx(self):
         Retrieve the index of the current classification function.

Instances