code: def __mlcm_vectors_filter__(mlcm):
      """
      Normalize multilabel object vectors.
  
      :param mlcm: multilabel confusion matrix
      :type mlcm: pycm.MultiLabelCM object
      :param classes: ordered labels of classes
      :type classes: list
      :return: None
      """
      mlcm.actual_vector_multihot = [
          __set_to_multihot__(x, mlcm.classes)
          for x in mlcm.actual_vector
      ]
      mlcm.predict_vector_multihot = [
          __set_to_multihot__(x, mlcm.classes)
          for x in mlcm.predict_vector
      ]
  
file_path: pycm/pycm/pycm_multilabel_cm.py
imports: from __future__ import division
  from .pycm_error import pycmVectorError, pycmMultiLabelError
  from .pycm_param import *
  from .pycm_obj import ConfusionMatrix
  import numpy
label_desc: Use image node_id 3 for calling a global function with example usage: __mlcm_vectors_filter__(mlcm) without return types