dont print emission symbols with low prob
Ensure beds are contiguous for supervised train with exception
fix up supervised train test to little toy example
fix better supervised training test.
make track multinomial in tracks3
change benchmark to allow different track xml for training and eval
add log prob to totext
deal with epsilon in more parameterized way in emission model via fudge parameter.  let this be zero if desired as well to accept zero probs using specialized log function
further epsilon cleaning
override scikit learn logprobs when supervised training to use fudge factor consistently and allow 0 probs if desired