Called from the fit method, this method creates a scatter plot that
        draws each instance as a class or target colored point, whose location
        is determined by the feature data set.

def draw(self, X, y, **kwargs):
        """Called from the fit method, this method creates a scatter plot that
        draws each instance as a class or target colored point, whose location
        is determined by the feature data set.
        """
        # Set the axes limits
        self.ax.set_xlim([-1,1])
        self.ax.set_ylim([-1,1])

        # set the colors
        color_values = resolve_colors(
            n_colors=len(self.classes_),
            colormap=self.colormap,
            colors=self.color
        )

        colors = dict(zip(self.classes_, color_values))

        # Create a data structure to hold the scatter plot representations
        to_plot = {}
        for kls in self.classes_:
            to_plot[kls] = [[], []]

        # Add each row of the data set to to_plot for plotting
        # TODO: make this an independent function for override
        for i, row in enumerate(X):
            row_ = np.repeat(np.expand_dims(row, axis=1), 2, axis=1)
            x_, y_ = row_[0], row_[1]
            kls = self.classes_[y[i]]

            to_plot[kls][0].append(x_)
            to_plot[kls][1].append(y_)

        # Add the scatter plots from the to_plot function
        # TODO: store these plots to add more instances to later
        # TODO: make this a separate function
        for i, kls in enumerate(self.classes_):
            self.ax.scatter(
                to_plot[kls][0],
                to_plot[kls][1],
                marker=next(self.markers),
                color=colors[kls],
                label=str(kls),
                alpha=self.alpha,
                **kwargs)

        self.ax.axis('equal')