class_docstr: This class contains the methods for tissue classification using the Markov
  Random Fields modeling approach
class_docstr_tok: ["This","class","contains","the","methods","for","tissue","classification","using","the","Markov","Random","Fields","modeling","approach"]
code: def __init__(self, save_history=False, verbose=True):
      self.save_history = save_history
      self.segmentations = []
      self.pves = []
      self.energies = []
      self.energies_sum = []
      self.verbose = verbose
  
imports: import numpy
  from dipy.sims.voxel import add_noise
  from dipy.segment.mrf import ConstantObservationModel, IteratedConditionalModes
label_desc: Use image node_id 1 to create a new TissueClassifierHMRF object  with example: obj = TissueClassifierHMRF(save_history, verbose)