class_docstr: Adds the count of zeros and count of non-zeros per sample as features.
docstr: Dummy function to fit in with the sklearn API.
docstr_tok: ["Dummy","function","to","fit","in","with","the","sklearn","API","."]
code: def fit(self, X, y=None):
      """Dummy function to fit in with the sklearn API."""
      return self
  
imports: import numpy
  from sklearn.base import BaseEstimator, TransformerMixin
  from sklearn.utils import check_array
label_desc: Use image node_id 1 for calling the ZeroCount obj's underlying member method code with example usage: obj.fit(X, y) and returns: self