docstr: Configure constant clipping settings.
  
  :param min_value: the minimum value to clip by
  :param max_value: the maxmimum value to clip by
docstr_tok: ["Configure","constant","clipping","settings",".",":","param","min_value",":","the","minimum","value","to","clip","by",":","param","max_value",":","the","maxmimum","value","to","clip","by"]
code: def set_constant_gradient_clipping(self, min_value, max_value):
      """
      Configure constant clipping settings.
  
      :param min_value: the minimum value to clip by
      :param max_value: the maxmimum value to clip by
      """
      self.estimator.set_constant_gradient_clipping(
          min_value, max_value
      )
  
imports: import json
  import logging
  import os
  import sys
  import tempfile
  from bigdl.dllib.nn.criterion import Criterion
  from bigdl.dllib.nn.layer import Layer
  from bigdl.dllib.optim.optimizer import MaxEpoch, EveryEpoch
  from bigdl.dllib.utils.common import to_list, JavaValue
  from bigdl.dllib.utils.file_utils import callZooFunc
  from bigdl.dllib.feature.common import FeatureSet
  from bigdl.dllib.keras.engine.topology import to_bigdl_metric, Loss, OptimMethod
  from bigdl.dllib.net.utils import find_placeholders, to_bigdl_optim_method, find_tensors
  from bigdl.dllib.estimator.estimator import Estimator
  from bigdl.dllib.utils import nest
  from bigdl.dllib.utils.triggers import EveryEpoch
  from bigdl.dllib.utils.triggers import ZooTrigger
  from bigdl.orca.tfpark.tf_dataset import TFNdarrayDataset, check_data_compatible
  from bigdl.orca.tfpark.tf_dataset import _standarize_feature_label_dataset
  from bigdl.dllib.utils.log4Error import *
label_desc: Use image node_id 13 for calling the TFOptimizer obj's underlying member method code with example usage: obj.set_constant_gradient_clipping(min_value, max_value) without return types