updated docstring for pm.MatrixNormal to ensure compatibility with current version

Author: Rojan Shrestha

pymc/distributions/multivariate.py

@@ -1827,16 +1827,16 @@ class MatrixNormal(Continuous):
         with pm.Model() as model:
             # Setup right cholesky matrix
             sd_dist = pm.HalfCauchy.dist(beta=2.5, shape=3)
-            colchol_packed = pm.LKJCholeskyCov('colcholpacked', n=3, eta=2,
-                                               sd_dist=sd_dist)
+            colchol_packed = pm.LKJCholeskyCov('colcholpacked', n=3, eta=2,compute_corr=False,
+                                            sd_dist=sd_dist)
             colchol = pm.expand_packed_triangular(3, colchol_packed)
 
             # Setup left covariance matrix
             scale = pm.LogNormal('scale', mu=np.log(true_scale), sigma=0.5)
             rowcov = pt.diag([scale**(2*i) for i in range(m)])
 
             vals = pm.MatrixNormal('vals', mu=mu, colchol=colchol, rowcov=rowcov,
-                                   observed=data)
+                                observed=data)
     """
 
     rv_op = matrixnormal