How can i change the activation function of the nodes in hidden layer using neurolab?

Question

Hello dear users of neuorlab, I want to change the activation function nodes of the hidden layer to ReLU and keep Linear function in output nodes

import numpy as np
import neurolab as nl

# Create train samples
input = np.random.uniform(-1, 1, (5, 2))
target = (input[:, 0] + input[:, 1]).reshape(5, 1)
net = nl.net.newff([[-1, 1]]*2, [4, 1]) 

# What I try to do

import numpy as np
import neurolab as nl

# Create train samples
input = np.random.uniform(-1, 1, (5, 2))
target = (input[:, 0] + input[:, 1]).reshape(5, 1)
net = nl.net.newff([[-1, 1]]*2, [4, 1],[nl.trans.PoseLin(), nl.trans.PureLin()])