def resample_hyperparemeters(self, n_iter):
ar = stuple((0, 0))
logging.info('Resampling doc-topic hyperparameters')
ar += self.alpha.resample(n_iter)
logging.info('Resampling stem base / pattern model hyperparameters')
ar += self.pattern_model.resample_hyperparemeters(n_iter) # G_p
ar += self.pattern_model.base.resample_hyperparemeters(n_iter) # G_p^0
ar += self.stem_base.resample_hyperparemeters(n_iter) # G_s^0
logging.info('Resampling all topic-word PYP hyperparameters')
for topic in self.topic_word:
ar += topic.resample_hyperparemeters(n_iter) # G_w
ar += topic.base.stem_model.resample_hyperparemeters(n_iter) # G_s
return ar
def resample_hyperparemeters(self, n_iter):
ar = stuple((0, 0))
logging.info('Resampling stem base / pattern model hyperparameters')
ar += self.pattern_model.resample_hyperparemeters(n_iter) # G_p
ar += self.pattern_model.base.resample_hyperparemeters(n_iter) # G_p^0
ar += self.stem_base.resample_hyperparemeters(n_iter) # G_s^0
logging.info('Resampling t-table word and stem hyperparameters')
for t_word in self.t_table:
ar += t_word.resample_hyperparemeters(n_iter) # G_w
ar += t_word.base.stem_model.resample_hyperparemeters(n_iter) # G_s
logging.info('Resampling alignment distribution scale parameter')
ar += self.a_table.resample_hyperparemeters(n_iter)
return ar
