# Marginal Likelihood in PYMC

I am using the PYMC toolbox in python in order to carry out a model selection problem using MCMC. What I would like to have for each model is the marginal log-likelihood (i.e. model evidence).

The question: After I've run my sampler on the model, like

mc = MCMC(myModel)


does the following command return the marginal log-likelihood?

myModel.logp