{"push_id":891147668,"size":1,"distinct_size":1,"ref":"refs/heads/master","head":"e141357ee8b87c280e28de2b3bd7946552b67067","before":"3357a3bbef5007357ef0e8a0efd5dfb400a094ee","commits":[{"sha":"e141357ee8b87c280e28de2b3bd7946552b67067","author":{"email":"b17fffe078a946ade5312fc30ca37b38ec525d64@gmail.com","name":"Caleb Kemere"},"message":"In calculating the Poisson log likelihood, we need 3 terms, the first is the outer product of\nthe observations and the log of the rates, the second is minus the rates, and the third is the\nlog factorial of the observations. The (-rate) term is supposed to be broadcast across the\nobservation axis, but it was being calculated as np.sum(rate), which was a scalar. Oops.","distinct":true,"url":"https://api.github.com/repos/ckemere/hmmlearn/commits/e141357ee8b87c280e28de2b3bd7946552b67067"}]}