def draw(self, points, target=None, **kwargs):
        """
        Called from the fit method, this method draws the UMAP scatter plot,
        from a set of decomposed points in 2 dimensions. This method also
        accepts a third dimension, target, which is used to specify the colors
        of each of the points. If the target is not specified, then the points
        are plotted as a single cloud to show similar documents.
        """
        # Resolve the labels with the classes
        labels = self.labels if self.labels is not None else self.classes_
        if len(labels) != len(self.classes_):
            raise YellowbrickValueError((
                "number of supplied labels ({}) does not "
                "match the number of classes ({})"
            ).format(len(labels), len(self.classes_)))


        # Create the color mapping for the labels.
        self.color_values_ = resolve_colors(
            n_colors=len(labels), colormap=self.colormap, colors=self.colors)
        colors = dict(zip(labels, self.color_values_))

        # Transform labels into a map of class to label
        labels = dict(zip(self.classes_, labels))

        # Expand the points into vectors of x and y for scatter plotting,
        # assigning them to their label if the label has been passed in.
        # Additionally, filter classes not specified directly by the user.
        series = defaultdict(lambda: {'x':[], 'y':[]})

        if target is not None:
            for t, point in zip(target, points):
                label = labels[t]
                series[label]['x'].append(point[0])
                series[label]['y'].append(point[1])
        else:
            label = self.classes_[0]
            for x,y in points:
                series[label]['x'].append(x)
                series[label]['y'].append(y)

        # Plot the points
        for label, points in series.items():
            self.ax.scatter(
                points['x'], points['y'], c=colors[label],
                alpha=self.alpha, label=label
            )
Called from the fit method, this method draws the UMAP scatter plot,
        from a set of decomposed points in 2 dimensions. This method also
        accepts a third dimension, target, which is used to specify the colors
        of each of the points. If the target is not specified, then the points
        are plotted as a single cloud to show similar documents.