code: def __generate_tfx_meta_log(self):
      header = f"""###### {self.name}, version {self.version}\n---\n"""
      desc = ""
      if self.description is not None:
          desc = f"""#####*{self.description}*\n"""
      params = f"""##### Hyperparameters\n"""
  
      row_header = """parameter|value\n-|-\n"""
      rows = [row_header]
      for k, v in self.tags.items():
          row = f"""{k}|{v}\n"""
          rows.append(row)
  
      all_rows = [header, desc, params]
      all_rows.extend(rows)
      mkdown_log = "".join(all_rows)
      return mkdown_log
  
imports: import contextlib
  import json
  import os
  import shutil
  from datetime import datetime
  import numpy
  import pandas
  from imageio import imwrite
  from tensorboard.compat.proto.event_pb2 import Event
  from tensorboard.compat.proto.event_pb2 import SessionLog
  from torch.utils.tensorboard import SummaryWriter, FileWriter
label_desc: Use image node_id 15 for calling the Experiment obj's underlying member method code with example usage: obj.__generate_tfx_meta_log() and returns: mkdown_log