#FORMAT python

# import all the conx API
from pyrobot.brain.conx import *

# create the network
n = Network()

# add layers in the order they will be connected
n.addLayer('input',2)      # The input layer has two nodes
n.addLayer('output',1)     # The output layer has one node
n.connect('input','output')  # The input layer is connected to the output layer

# provide training patterns (inputs and outputs)
n.setInputs([[0.0,0.0],[0.0,1.0],[1.0,0.0],[1.0,1.0]])
n.setOutputs([[0.0],[0.0],[0.0],[1.0]])

# set learning parameters
n.setEpsilon(0.5)
n.setTolerance(0.2)
n.setReportRate(1)

# learn
n.train()