sklearn_utils/preprocessing/dict_input.py
def transform(self, X):
        '''
        :param X: features.
        '''
        inverser_tranformer = self.dict_vectorizer_
        if self.feature_selection:
            inverser_tranformer = self.clone_dict_vectorizer_

        return inverser_tranformer.inverse_transform(
            self.transformer.transform(
                self.dict_vectorizer_.transform(X)))
def transform(self, X):
        '''
        :param X: features.
        '''
        inverser_tranformer = self.dict_vectorizer_
        if self.feature_selection:
            inverser_tranformer = self.clone_dict_vectorizer_

        return inverser_tranformer.inverse_transform(
            self.transformer.transform(
                self.dict_vectorizer_.transform(X)))
def transform ( self , X ) : inverser_tranformer = self . dict_vectorizer_ if self . feature_selection : inverser_tranformer = self . clone_dict_vectorizer_ return inverser_tranformer . inverse_transform ( self . transformer . transform ( self . dict_vectorizer_ . transform ( X ) ) )
:param X: features.
: param X : features .