code: def model_builder(model_dir):
      sklearn_model = SVC(
          C=1.0, class_weight="balanced", probability=True
      )
      return dc.models.SklearnModel(sklearn_model, model_dir)
  
file_path: deepchem/examples/tox21/tox21_KernelSVM.py
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import unicode_literals
  import numpy
  import deepchem
  import tempfile
  from sklearn.svm import SVC
label_desc: Use image node_id 1 for calling a global function with example usage: model_builder(model_dir) and returns: dc