Fixing HMM log likelihood

I'm trying to use this library to build and run a normal boring no-frills HMM, for which I have a specific topology with specific transition probabilities that I already know. The first step of this is making HMM log likelihood not crash. Later steps will probably have to include adding something like Viterbi to get a self-consistent state path out, and documenting pyhsmm.internals.transitions.HDPHMMTransitions.__init__ so I can tell where to put in the transition probabilities.

Where can I find the reference you used to name all the constructor arguments? What are e.g. the required alpha and gamma arguments to HDPHMMTransitions?

Is there a more appropriate transition distribution class to use when I already know exactly what state transition probabilities will be nonzero?