class_docstr: Base class for serving binaries.
class_docstr_tok: ["Base","class","for","serving","binaries","."]
docstr: Create a model server client of this serving binary.
docstr_tok: ["Create","a","model","server","client","of","this","serving","binary","."]
code: def MakeClient(
      self, endpoint: str
  ) -> base_client.BaseModelServerClient:
      """Create a model server client of this serving binary."""
      raise NotImplementedError(
          "{} does not implement MakeClient.".format(
              type(self).__name__
          )
      )
  
imports: import abc
  import os
  from typing import Any, Dict, List, Optional
  from docker import types
  from tfx.components.infra_validator.model_server_clients import base_client
  from tfx.components.infra_validator.model_server_clients import tensorflow_serving_client
  from tfx.proto import infra_validator_pb2
  from tfx.utils.model_paths import tf_serving_flavor
label_desc: Use image node_id 5 for calling the ServingBinary obj's underlying member method code with example usage: obj.MakeClient(endpoint) without return types