934f26003a1b794a3a03ca824817fb1252dff270,hmmlearn/hmm.py,GMMHMM,_initialize_sufficient_statistics,#GMMHMM#,580

Before Change

        stats = super(GMMHMM, self)._initialize_sufficient_statistics()
        stats["norm"] = [np.zeros(g.weights_.shape) for g in self.gmms_]
        stats["means"] = [np.zeros(np.shape(g.means_)) for g in self.gmms_]
        stats["covars"] = [np.zeros(np.shape(g.covars_)) for g in self.gmms_]
        return stats

    def _accumulate_sufficient_statistics(self, stats, X, framelogprob,
                                          posteriors, fwdlattice, bwdlattice):

After Change

        stats["post_mix_sum"] = np.zeros((self.n_components, self.n_mix))
        stats["post_sum"] = np.zeros(self.n_components)
        stats["samples"] = None
        stats["centered"] = None
        return stats

    def _accumulate_sufficient_statistics(self, stats, X, framelogprob,

Instances