def makeplot_(fnum, prefix, data, labels='centroids', centroids=centroids): return clustertool.plot_centroids(data, centroids, labels=labels, fnum=fnum, prefix=prefix + '\n', **kwd)
def view_vocab(fpath): # QUANTIZED AND FLOATING POINT STATS centroids = ut.load_cPkl(fpath) print('viewing vocat fpath=%r' % (fpath,)) smk_debug.vector_stats(centroids, 'centroids') #centroids_float = centroids.astype(np.float64) / 255.0 centroids_float = centroids.astype(np.float64) / 512.0 smk_debug.vector_stats(centroids_float, 'centroids_float') fig = clustertool.plot_centroids(centroids, centroids, labels='centroids', fnum=1, prefix='centroid vecs\n', **kwd) fig.show()
def view_vocab(fpath): # QUANTIZED AND FLOATING POINT STATS centroids = ut.load_cPkl(fpath) print('viewing vocat fpath=%r' % (fpath, )) smk_debug.vector_stats(centroids, 'centroids') #centroids_float = centroids.astype(np.float64) / 255.0 centroids_float = centroids.astype(np.float64) / 512.0 smk_debug.vector_stats(centroids_float, 'centroids_float') fig = clustertool.plot_centroids(centroids, centroids, labels='centroids', fnum=1, prefix='centroid vecs\n', **kwd) fig.show()