class_docstr: generate randomised bias field transformation for data augmentation
class_docstr_tok: ["generate","randomised","bias","field","transformation","for","data","augmentation"]
code: def init_order(self, order=3):
      self.order = int(order)
  
file_path: NiftyNet/niftynet/layer/rand_bias_field.py
imports: from __future__ import absolute_import, print_function
  import numpy
  from niftynet.layer.base_layer import RandomisedLayer
label_desc: Use image node_id 3 for calling the RandomBiasFieldLayer obj's underlying member method code with example usage: obj.init_order(order) without return types