text: """
  .. todo::
  
      WRITEME
  """
  from pylearn2.datasets import utlc
  import numpy as N
  
  
  class Avicenna(object):
  
      """
      .. todo::
  
          WRITEME
  
      Parameters
      ----------
      which_set : WRITEME
      standardize : WRITEME
      """
  
      def __init__(self, which_set, standardize):
          train, valid, test = utlc.load_ndarray_dataset('avicenna')
  
          if which_set == 'train':
              self.X = train
          elif which_set == 'valid':
              self.X = valid
          elif which_set == 'test':
              self.X = test
          else:
              assert False
  
          if standardize:
              union = N.concatenate([train, valid, test], axis=0)
              self.X -= union.mean(axis=0)
              std = union.std(axis=0)
              std[std < 1e-3] = 1e-3
              self.X /= std
  
      def get_design_matrix(self):
          """
          .. todo::
  
              WRITEME
          """
          return self.X
  