Called from the fit method, this method creates the canvas and
        draws the plot on it.
        Parameters
        ----------
        kwargs: generic keyword arguments.

def draw(self, points, target=None, **kwargs):
        """
        Called from the fit method, this method creates the canvas and
        draws the plot on it.
        Parameters
        ----------
        kwargs: generic keyword arguments.
        """

        # 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.
        color_values = resolve_colors(
            n_colors=len(labels), colormap=self.colormap, colors=self.color)
        colors = dict(zip(labels, color_values))

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

        # Define boundaries with a vertical line
        if self.annotate_docs:
            for xcoords in self.boundaries_:
                self.ax.axvline(x=xcoords, color='lightgray', linestyle='dashed')

        series = defaultdict(lambda: {'x':[], 'y':[]})

        if target is not None:
            for point, t in zip(points, target):
                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)

        for label, points in series.items():
            self.ax.scatter(points['x'], points['y'], marker='|',
                            c=colors[label], zorder=100, label=label)

        self.ax.set_yticks(list(range(len(self.indexed_words_))))
        self.ax.set_yticklabels(self.indexed_words_)