class_docstr: TFLite metrics helper for prod (borg) environment.
  
  Attributes:
    model_hash: A string containing the hash of the model binary.
    model_path: A string containing the path of the model for debugging
      purposes.
code: def set_converter_param(self, name, value):
      _gauge_conversion_params.get_cell(name).set(value)
  
imports: from typing import Optional, Text
  import uuid
  from tensorflow.lite.python.metrics import converter_error_data_pb2
  from tensorflow.lite.python.metrics import metrics_interface
  from tensorflow.lite.python.metrics.wrapper import metrics_wrapper
  from tensorflow.python.eager import monitoring
label_desc: Use image node_id 6 for calling the TFLiteMetrics obj's underlying member method code with example usage: obj.set_converter_param(name, value) without return types