code: def _intercept_setter(self, val):
      self._internal_intercept_ = val
      if hasattr(self, "daal_model_"):
          del self.daal_model_
      if getattr(self, "_daal_fit", False):
          self._daal_fit = False
  
imports: from __future__ import print_function
  import warnings
  import numpy
  import sklearn.svm._base
  import sklearn.svm._classes
  from scipy import sparse
  from sklearn.calibration import CalibratedClassifierCV
  from sklearn.exceptions import NotFittedError
  from sklearn.model_selection import StratifiedKFold
  from sklearn.utils import check_random_state
  from sklearn.utils.multiclass import _ovr_decision_function
  from sklearn.utils.validation import _check_sample_weight, _num_samples, check_consistent_length, check_is_fitted
  from sklearn import __version__
  import daal4py
  from .._utils import PatchingConditionsChain, getFPType, make2d, sklearn_check_version
label_desc: Use image node_id 5 for calling a global function with example usage: _intercept_setter(val) without return types