code: def log_one_run(self, start, end, model, tag):
      super().log_one_run(start, end, model, tag)
      LOG.info(f"emissions={model.emissionprob_}")
  
imports: import argparse
  import collections
  import logging
  import time
  import hmmlearn.hmm
  import numpy
  import sklearn.base
label_desc: Use image node_id 3 for calling the MultinomialBenchmark obj's underlying member method code with example usage: obj.log_one_run(start, end, model, tag) without return types