class_docstr: This class is intended for the EVAC+ model.
class_docstr_tok: ["This","class","is","intended","for","the","EVAC+","model","."]
docstr: Load the model pre-training weights to use for the fitting.
  While the user can load different weights, the function
  is mainly intended for the class function 'predict'.
docstr_tok: ["Load","the","model","pre-training","weights","to","use","for","the","fitting",".","While","the","user","can","load","different","weights",",","the","function","is","mainly","intended","for","the","class","function","'predict","'","."]
code: def fetch_default_weights(self):
      r"""
      Load the model pre-training weights to use for the fitting.
      While the user can load different weights, the function
      is mainly intended for the class function 'predict'.
      """
      fetch_model_weights_path = get_fnames("evac_default_weights")
      print("fetched " + fetch_model_weights_path)
      self.load_model_weights(fetch_model_weights_path)
  
imports: import logging
  import numpy
  from dipy.data import get_fnames
  from dipy.testing.decorators import doctest_skip_parser
  from dipy.utils.optpkg import optional_package
  from dipy.align.reslice import reslice
  from dipy.nn.utils import normalize, set_logger_level, transform_img
  from dipy.nn.utils import recover_img, correct_minor_errors
label_desc: Use image node_id 2 for calling the EVACPlus obj's underlying member method code with example usage: obj.fetch_default_weights() without return types