docstr: The orientation distribution function of the SFM
  
  Parameters
  ----------
  sphere : Sphere
      The points in which the ODF is evaluated
  
  Returns
  -------
  odf :  ndarray of shape (x, y, z, sphere.vertices.shape[0])
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code: def odf(self, sphere):
      """
      The orientation distribution function of the SFM
  
      Parameters
      ----------
      sphere : Sphere
          The points in which the ODF is evaluated
  
      Returns
      -------
      odf :  ndarray of shape (x, y, z, sphere.vertices.shape[0])
  
      """
      odf_matrix = self.model.cache_get("odf_matrix", key=sphere)
      if odf_matrix is None:
          odf_matrix = sfm_design_matrix(
              sphere, self.model.sphere, self.model.response, mode="odf"
          )
          self.model.cache_set(
              "odf_matrix", key=sphere, value=odf_matrix
          )
  
      return np.dot(
          odf_matrix, self.beta.reshape(-1, self.beta.shape[-1]).T
      ).T.reshape(self.beta.shape[:-1] + (odf_matrix.shape[0],))
  
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 2 for calling the SparseFascicleFit obj's underlying member method code with example usage: obj.odf(sphere) and returns: np