def transition_features(self):
data_frame = eli5.format_as_dataframes(
eli5.explain_weights_sklearn_crfsuite(self.crf))
return list(
zip(data_frame['transition_features']['from'],
data_frame['transition_features']['coef'],
data_frame['transition_features']['to']))
def weight_targets(self):
data_frame = eli5.format_as_dataframes(
eli5.explain_weights_sklearn_crfsuite(self.crf, top=2**10000))
return list(
zip(data_frame['targets']['target'],
data_frame['targets']['feature'],
data_frame['targets']['weight']))
def transition_features_to_csv(self):
data_frame = eli5.format_as_dataframes(
eli5.explain_weights_sklearn_crfsuite(self.crf))
data_frame['transition_features'].to_csv(os.path.abspath(
'server/nlp/data/data_transition_features.csv'))
return 'ok'
def state_features_to_csv(self):
data_frame = eli5.format_as_dataframes(
eli5.explain_weights_sklearn_crfsuite(self.crf, top=2**10000))
data_frame['targets'].to_csv(os.path.abspath(
'server/nlp/data/data_state_features.csv'))
return 'ok'