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()
def makeplot_(fnum, prefix, data, labels='centroids', centroids=centroids):
return clustertool.plot_centroids(data, centroids, labels=labels,
fnum=fnum, prefix=prefix + '\n', **kwd)
