code: def __getstate__(self):
      state = self.__dict__.copy()
      state["predict_label_ptr"] = None
      state["_train_succeed"] = None
      if state["model"] is not None:
          state["_saved_as_str"] = self.save_to_string()
          state["model"] = None
      return state
  
imports: from sklearn.base import BaseEstimator
  from sklearn.base import RegressorMixin, ClassifierMixin
  import numpy
  import scipy.sparse
  from sklearn.utils import check_X_y, column_or_1d, check_array
  from sklearn.utils.validation import _num_samples
  from ctypes import *
  from os import path, curdir
  from sys import platform
label_desc: Use image node_id 19 for calling the SvmModel obj's underlying member method code with example usage: obj.__getstate__() and returns: state