class_docstr: Handle end-to-end training and deployment of custom RLEstimator code.
class_docstr_tok: ["Handle","end-to-end","training","and","deployment","of","custom","RLEstimator","code","."]
docstr: Placeholder docstring.
docstr_tok: ["Placeholder","docstring","."]
code: def _validate_toolkit_support(
      cls, toolkit, toolkit_version, framework
  ):
      """Placeholder docstring."""
      if not cls._is_combination_supported(
          toolkit, toolkit_version, framework
      ):
          raise AttributeError(
              "Provided `{}-{}` and `{}` combination is not supported.".format(
                  toolkit, toolkit_version, framework
              )
          )
  
imports: from __future__ import absolute_import
  import enum
  import logging
  import re
  from typing import Union, Optional, List, Dict
  from sagemaker import image_uris, fw_utils
  from sagemaker.estimator import Framework, EstimatorBase
  from sagemaker.model import FrameworkModel, SAGEMAKER_OUTPUT_LOCATION
  from sagemaker.mxnet.model import MXNetModel
  from sagemaker.tensorflow.model import TensorFlowModel
  from sagemaker.vpc_utils import VPC_CONFIG_DEFAULT
  from sagemaker.workflow.entities import PipelineVariable
label_desc: Use image node_id 11 for calling the RLEstimator obj's underlying member method code with example usage: obj._validate_toolkit_support(cls, toolkit, toolkit_version, framework) without return types