class_docstr: Abstract base class for different Scalarizers.
  
  The Scalarizer class is a callable that transforms multiple objectives into
  a single scalar reward.
class_docstr_tok: ["Abstract","base","class","for","different","Scalarizers",".","The","Scalarizer","class","is","a","callable","that","transforms","multiple","objectives","into","a","single","scalar","reward","."]
docstr: Setter method for scalarization parameters.
docstr_tok: ["Setter","method","for","scalarization","parameters","."]
code: def set_parameters(self, **kwargs):
      """Setter method for scalarization parameters."""
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import abc
  import copy
  from typing import Callable, Dict, NamedTuple, Optional, Sequence, Union
  import numpy
  import six
  import tensorflow.compat.v2
label_desc: Use image node_id 6 for calling the Scalarizer obj's underlying member method code with example usage: obj.set_parameters() without return types