neuroprob/inference.py
def MCMC(prob_model):
    """
    Samples exact posterior samples from the probabilistic model, which has been fit with VI before.
    
    :param VI_optimized prob_model: the probabilistic model to sample from
    """
    return

    Samples exact posterior samples from the probabilistic model, which has been fit with VI before.
    
    :param VI_optimized prob_model: the probabilistic model to sample from
    
Samples exact posterior samples from the probabilistic model, which has been fit with VI before.
Samples exact posterior samples from the probabilistic model which has been fit with VI before .
def MCMC(prob_model):
    return
def MCMC ( prob_model ) : return
Samples exact posterior samples from the probabilistic model, which has been fit with VI before.
Samples exact posterior samples from the probabilistic model which has been fit with VI before .
"""
    Samples exact posterior samples from the probabilistic model, which has been fit with VI before.
    
    :param VI_optimized prob_model: the probabilistic model to sample from
    """
prob_model
the probabilistic model to sample from
the probabilistic model to sample from