Plot the Posterior PDFsΒΆ
You can examine the posterior probability density functions to get a
quantitative look at the results of the model fitting process using
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 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.