"""
The module plotting results for SSGPLVM
"""
import pylab
from ...models import SSGPLVM
from .img_plots import plot_2D_images
[docs]class SSGPLVM_plot(object):
def __init__(self,model, imgsize):
assert isinstance(model,SSGPLVM)
self.model = model
self.imgsize= imgsize
assert model.Y.shape[1] == imgsize[0]*imgsize[1]
[docs] def plot_inducing(self):
fig1 = pylab.figure()
mean = self.model.posterior.mean
arr = mean.reshape(*(mean.shape[0],self.imgsize[1],self.imgsize[0]))
plot_2D_images(fig1, arr)
fig1.gca().set_title('The mean of inducing points')
fig2 = pylab.figure()
covar = self.model.posterior.covariance
plot_2D_images(fig2, covar)
fig2.gca().set_title('The variance of inducing points')