class_docstr: Wrapper class for scikit-learn regression models.
docstr: Resets the weights of the classifier so that it can be refit from scratch.
docstr_tok: ["Resets","the","weights","of","the","classifier","so","that","it","can","be","refit","from","scratch","."]
code: def reset(self) -> None:
      """
      Resets the weights of the classifier so that it can be refit from scratch.
  
      """
      # No need to do anything since scikitlearn models start from scratch each time fit() is called
      pass
  
imports: import logging
  import os
  import pickle
  from copy import deepcopy
  from typing import List, Optional, Tuple, Union, TYPE_CHECKING
  import numpy
  from art.estimators.scikitlearn import ScikitlearnEstimator
  from art.estimators.regression.regressor import RegressorMixin
  from art import config
label_desc: Use image node_id 7 for calling the ScikitlearnRegressor obj's underlying member method code with example usage: obj.reset() without return types