class_docstr: Classifier that raises a ValueError on fit()
class_docstr_tok: ["Classifier","that","raises","a","ValueError","on","fit","(",")"]
code: def __init__(self, parameter=None):
      self.parameter = parameter
  
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 1 to create a new FailingClassifier object from inherited base classes: BaseEstimator with example: obj = FailingClassifier(parameter)