code: def __init__(self, ignore_stopwords=True, *args, **kwargs):
      self.ignore_stopwords = ignore_stopwords
      super(TokenizeText, self).__init__(*args, **kwargs)
  
file_path: neupy/examples/mlp/imdb_review_classification/src/preprocessing.py
imports: from nltk.corpus import stopwords
  from nltk.tokenize import RegexpTokenizer
  from sklearn.base import TransformerMixin
  from sklearn.preprocessing import FunctionTransformer
label_desc: Use image node_id 1 to create a new TokenizeText object from inherited base classes: CustomTransformerMixin with example: obj = TokenizeText(ignore_stopwords)