class_docstr: generate randomised bias field transformation for data augmentation
class_docstr_tok: ["generate","randomised","bias","field","transformation","for","data","augmentation"]
code: def randomise(self, spatial_rank=3):
      self._generate_bias_field_coeffs(spatial_rank)
  
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 4 for calling the RandomBiasFieldLayer obj's underlying member method code with example usage: obj.randomise(spatial_rank) without return types