Update description

demos/variational_inference_visualized.py

@@ -19,13 +19,13 @@
 ###############################################################################
 # Variational Inference (VI)
 #
-# This script demonstrates how MGVI and GeoVI work for an inference problem
-# with only two real quantities of interest. This enables us to plot the
-# posterior probability density as two-dimensional plot. The approximate
-# posterior samples are contrasted with the maximum-a-posterior (MAP) solution
-# together with samples drawn with the Laplace method. This method uses the
-# local curvature at the MAP solution as inverse covariance of a Gaussian
-# probability density.
+# This script demonstrates how MGVI, GeoVI, MeanfieldVI and FullCovarianceVI
+# work for an inference problem with only two real quantities of interest. This
+# enables us to plot the posterior probability density as two-dimensional plot.
+# The approximate posterior samples are contrasted with the maximum-a-posterior
+# (MAP) solution together with samples drawn with the Laplace method. This
+# method uses the local curvature at the MAP solution as inverse covariance of
+# a Gaussian probability density.
 ###############################################################################
 
 import numpy as np