code: def initialize_hmm_parameters(num_states, num_outputs):
      init_pi = normalize(npr.rand(num_states))
      init_A = normalize(npr.rand(num_states, num_states))
      init_B = normalize(npr.rand(num_states, num_outputs))
      return init_pi, init_A, init_B
  
file_path: autograd/examples/hmm_em.py
imports: from __future__ import division, print_function
  import autograd.numpy
  import autograd.numpy.random
  from autograd.scipy.special import logsumexp
  from autograd import value_and_grad
  from functools import partial
  from os.path import join, dirname
  import string
label_desc: Use image node_id 4 for calling a global function with example usage: initialize_hmm_parameters(num_states, num_outputs) and returns: init_pi,  init_A,  init_B