You can examine the posterior probability density functions to get a quantitative look at the results of the model fitting process using :func:`visualize.posteriorPDF`:
import visualize visualize.posteriorPDF()
This will produce a series of histograms showing the posterior probability distribution functions for every parameter in the model.
This routine also prints the average and 1-sigma rms uncertainty on each parameter of the model.
You can also see how the posterior PDF of every parameter in the model changes as a function of iteration using :func:`visualize.evolvePDF`:
visualize.evolvePDF()
This function essentially produces a posteriorPDF every stepsize
iterations. The default is stepsize = 50000
. You can then view the
evolution in the PDF using a viewer application like Preview.