evaluate.py 文件源码

def _plot_proto_symbol_space(coordinates, target_names, name, args):
    # Reduce to 2D so that we can plot it.
    coordinates_2d = TSNE().fit_transform(coordinates)

    n_samples = coordinates_2d.shape[0]
    x = coordinates_2d[:, 0]
    y = coordinates_2d[:, 1]
    colors = cm.rainbow(np.linspace(0, 1, n_samples))

    fig = plt.figure(1)
    plt.clf()
    ax = fig.add_subplot(111)
    dots = []
    for idx in xrange(n_samples):
        dots.append(ax.plot(x[idx], y[idx], "o", c=colors[idx], markersize=15)[0])
        ax.annotate(target_names[idx],  xy=(x[idx], y[idx]))
    lgd = ax.legend(dots, target_names, ncol=4, numpoints=1, loc='upper center', bbox_to_anchor=(0.5,-0.1))
    ax.grid('on')

    if args.output_dir is not None:
        path = os.path.join(args.output_dir, name + '.pdf')
        print('Saved plot to file "%s"' % path)
        fig.savefig(path, bbox_extra_artists=(lgd,), bbox_inches='tight')
    else:
        plt.show()