def setUp(self):
data = load_boston()<EOL>self.model = self.get_model(data.data.shape[<NUM_LIT:1>], <NUM_LIT:1>)<EOL>preprocessor = [<EOL>np.array,  <EOL>torch.from_numpy,  <EOL>lambda tensor: tensor.type(torch.FloatTensor),  <EOL>torch.autograd.Variable,  <EOL>]<EOL>super(BostonPytorchNNTest, self)._setup(<EOL>self.model, self.train, data, preprocessor=preprocessor, predict=self.model, to_numpy=False, postprocessor=lambda variable: variable.data.numpy())<EOL>
Unittest set up.