code: def new_model(self, implementation):
      return hmmlearn.hmm.MultinomialHMM(
          n_components=3,
          n_iter=self.n_iter,
          verbose=self.verbose,
          implementation=implementation,
      )
  
imports: import argparse
  import collections
  import logging
  import time
  import hmmlearn.hmm
  import numpy
  import sklearn.base
label_desc: Use image node_id 1 for calling the MultinomialBenchmark obj's underlying member method code with example usage: obj.new_model(implementation) and returns: hmmlearn