class_docstr: A hyperparameter in an experiment.
  
  This class describes a hyperparameter in the abstract. It ranges
  over a domain of values, but is not bound to any particular value.
class_docstr_tok: ["A","hyperparameter","in","an","experiment",".","This","class","describes","a","hyperparameter","in","the","abstract",".","It","ranges","over","a","domain","of","values",",","but","is","not","bound","to","any","particular","value","."]
code: def __str__(self):
      return "<HParam %r: %s>" % (self._name, self._domain)
  
imports: import abc
  import hashlib
  import json
  import random
  import time
  import numpy
  from tensorboard.compat import tf2
  from tensorboard.compat.proto import summary_pb2
  from tensorboard.plugins.hparams import api_pb2
  from tensorboard.plugins.hparams import metadata
  from tensorboard.plugins.hparams import plugin_data_pb2
label_desc: Use image node_id 2 for calling the HParam obj's underlying member method code with example usage: obj.__str__() and returns: unknown