class_docstr: Classifier that raises a ValueError on fit()
class_docstr_tok: ["Classifier","that","raises","a","ValueError","on","fit","(",")"]
code: def fit(self, X, y=None):
      if self.parameter == FailingClassifier.FAILING_PARAMETER:
          raise ValueError("Failing classifier failed as required")
      return self
  
imports: import os
  from ast import literal_eval
  import numpy
  from distributed import Lock, Variable, get_worker
  from sklearn.base import BaseEstimator, ClassifierMixin
  from sklearn.utils.validation import _num_samples, check_array
label_desc: Use image node_id 2 for calling the FailingClassifier obj's underlying member method code with example usage: obj.fit(X, y) and returns: self