code: def test_transfrom_method(self):
      dataset = datasets.load_diabetes()
  
      grnnet = algorithms.GRNN(std=0.5, verbose=False)
      grnnet.train(dataset.data, dataset.target)
  
      y_predicted = grnnet.predict(dataset.data)
      y_transformed = grnnet.transform(dataset.data)
  
      np.testing.assert_array_almost_equal(y_predicted, y_transformed)
  
file_path: neupy/tests/compatibilities/test_sklearn_compatibility.py
imports: import numpy
  from sklearn import datasets, preprocessing, model_selection
  from sklearn.model_selection import train_test_split
  from sklearn.pipeline import Pipeline
  from neupy import algorithms, layers
  from neupy.utils import asfloat
  from neupy.algorithms.gd import objectives
  from base import BaseTestCase
label_desc: Use image node_id 3 for calling the SklearnCompatibilityTestCase obj's underlying member method code with example usage: obj.test_transfrom_method() without return types