class_docstr: A base-class for the representation of isotropic signals.
  
  The default behavior, suitable for single b-value data is to calculate the
  mean in each voxel as an estimate of the signal that does not depend on
  direction.
docstr: Initialize an IsotropicModel.
  
  Parameters
  ----------
  gtab : a GradientTable class instance
docstr_tok: ["Initialize","an","IsotropicModel",".","Parameters","--","--","--","--","--","gtab",":","a","GradientTable","class","instance"]
code: def __init__(self, gtab):
      """Initialize an IsotropicModel.
  
      Parameters
      ----------
      gtab : a GradientTable class instance
  
      """
      ReconstModel.__init__(self, gtab)
  
imports: import warnings
  import numpy
  import gc
  from collections import OrderedDict
  from dipy.utils.optpkg import optional_package
  from dipy.utils.multiproc import determine_num_processes
  import dipy.core.gradients
  import dipy.core.optimize
  import dipy.sims.voxel
  import dipy.data
  from dipy.reconst.base import ReconstModel, ReconstFit
  from dipy.reconst.cache import Cache
  from dipy.core.onetime import auto_attr
label_desc: Use image node_id 1 to create a new IsotropicModel object from inherited base classes: ReconstModel with example: obj = IsotropicModel(gtab)