lp__,log_p__,log_g__,theta
# Stepsize adaptation complete.
# eta = 1
0,0,0,0.236261
0,-6.82318,-0.0929121,0.300415
0,-6.89701,-0.158687,0.321982
0,-6.99391,-0.23916,0.343643
0,-7.35801,-0.51787,0.401554
0,-7.4668,-0.539473,0.123081
...</code></pre>
<p>The header indicates the unnormalized log probability with <code>lp__</code>.
This is a legacy feature that we do not use for variational inference.
The ELBO is not stored unless a diagnostic option is given.</p>

</div>
<h3><i style='font-size: 110%; color:#9