from metanet.networks.artificial_networks.feedforward_network import FeedforwardNetwork
from metanet.networks.metanet import MetaNet
from metanet.datasets.xor import get_xor
import networkx as nx
#import matplotlib.pyplot as plt
if __name__=='__main__':
inp, tgt = get_xor()
out_net = FeedforwardNetwork(2, [4], 2)
inp_net_1 = FeedforwardNetwork(2, [4], 2)
inp_net_2 = FeedforwardNetwork(2, [4], 2)
out_net.name = 'out'
inp_net_1.name = 'inp1'
inp_net_2.name = 'inp2'
tgt_1 = [[0.0, 0.0], [1.0, 0.0], [1.0, 0.0], [0.0, 0.0]]
tgt_2 = [[0.0, 0.0], [0.0, 1.0], [0.0, 1.0], [0.0, 0.0]]
for i in range(500):
print("OutNet err: {:4.4f}".format(out_net.train(inp, tgt_1, 1)[0]),
"InpNet1 err: {:4.4f}".format(inp_net_1.train(inp, tgt_1, 1)[0]),
"InpNet2 err: {:4.4f}".format(inp_net_2.train(inp, tgt_2, 1)[0]))
metanet = MetaNet()
metanet.add_input_net(inp_net_1)
metanet.add_input_net(inp_net_2)
