docstr: This is available only if delegate has predict_proba.
  
  Parameters
  ---------
  X : ndarray
      Parameter X
docstr_tok: ["This","is","available","only","if","delegate","has","predict_proba",".","Parameters","--","--","--","--","-","X",":","ndarray","Parameter","X"]
code: def predict_proba(self, X):
      """This is available only if delegate has predict_proba.
  
      Parameters
      ---------
      X : ndarray
          Parameter X
      """
      return X
  
imports: import atexit
  import os
  import unittest
  import warnings
  import numpy
  import pytest
  from scipy import sparse
  from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
  from sklearn.tree import DecisionTreeClassifier
  from sklearn.utils import _IS_WASM
  from sklearn.utils._testing import TempMemmap, _convert_container, _delete_folder, assert_allclose, assert_allclose_dense_sparse, assert_no_warnings, assert_raise_message, assert_raises, assert_raises_regex, assert_run_python_script_without_output, check_docstring_parameters, create_memmap_backed_data, ignore_warnings, raises, set_random_state
  from sklearn.utils.deprecation import deprecated
  from sklearn.utils.fixes import CSC_CONTAINERS, CSR_CONTAINERS, parse_version, sp_version
  from sklearn.utils.metaestimators import available_if
label_desc: Use image node_id 4 for calling the MockMetaEstimator obj's underlying member method code with example usage: obj.predict_proba(X) and returns: X