code: def identity(X):
      """Simply return the input array.
  
      Parameters
      ----------
      X : {array-like, sparse matrix}, shape (n_samples, n_features)
          Data, where n_samples is the number of samples
          and n_features is the number of features.
  
      Returns
      -------
      X : {array-like, sparse matrix}, shape (n_samples, n_features)
          Same as the input data.
      """
      return X
  
file_path: catboost/contrib/python/scikit-learn/py2/sklearn/neural_network/_base.py
imports: import numpy
  from ..utils.fixes import expit
label_desc: Use image node_id 1 for calling a global function with example usage: identity(X) and returns: X