Get the Likelihood Generative Distribution of Observation from a Mixture Model

Thanks for the help! I’m getting an error back though when I pass point to the f_complogp function. So I ran a trace with the model (which I though was implicit in your for-loop). This make a MultiTrace object I can loop over an pass each dict in the trace to f_complogp. However, I’m getting this error :

    795 
    796             if len(args) + len(kwargs) > len(self.input_storage):
    797                 raise TypeError("Too many parameter passed to theano function")
    798 
    799             # Set positional arguments
    TypeError: Too many parameter passed to theano function

This stems directly from trying to pass these dicts to the f_complogp function. Any idea what this is about?