LRHMM.py 文件源码

def _gmmModel(self,model_path):
        '''
        load gmmModel
        :return:
        '''
        for state in list(set(self.transcription)):
            pkl_file = open(os.path.join(model_path,state+'.pkl'), 'rb')
            self.gmmModel[state] = pickle.load(pkl_file)
            pkl_file.close()

        # with open ('/Users/gong/desktop/original.txt','wb') as f:
        #     for key in self.gmmModel:
        #         f.write(np.array_str(self.gmmModel[key].covars_))