class_docstr: This class is intended for the EVAC+ model.
class_docstr_tok: ["This","class","is","intended","for","the","EVAC+","model","."]
docstr: Internal prediction function
  
  Parameters
  ----------
  x_test : np.ndarray (batch, 128, 128, 128, 1)
      Image should match the required shape of the model.
  
  Returns
  -------
  np.ndarray (batch, ...)
      Predicted brain mask
docstr_tok: ["Internal","prediction","function","Parameters","--","--","--","--","--","x_test",":","np.ndarray","(","batch",",","128",",","128",",","128",",","1",")","Image","should","match","the","required","shape","of","the","model",".","Returns","--","--","--","-","np.ndarray","(","batch",",","...",")","Predicted","brain","mask"]
code: def __predict(self, x_test):
      r"""
      Internal prediction function
  
      Parameters
      ----------
      x_test : np.ndarray (batch, 128, 128, 128, 1)
          Image should match the required shape of the model.
  
      Returns
      -------
      np.ndarray (batch, ...)
          Predicted brain mask
      """
  
      return self.model.predict(x_test)
  
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 4 for calling the EVACPlus obj's underlying member method code with example usage: obj.__predict(x_test) and returns: self