code: def monitor(cls, model_name, api_key=None, capture_io=True):
      if api_key is not None:
          cls.set_apikey(api_key)
  
      return hd.monitor(
          model_name,
          api_key_getter=cls.get_apikey,
          capture_io=capture_io,
      )
  
file_path: TensorLayer/tensorlayer/logging/contrib/hyperdash.py
imports: from __future__ import absolute_import
  import hyperdash
  import tensorlayer
label_desc: Use image node_id 4 for calling the HyperDashHandler obj's underlying member method code with example usage: obj.monitor(cls, model_name, api_key, capture_io) and returns: hd