def main():
parser = argparse.ArgumentParser()
parser.add_argument('--random',nargs='*',type=int)
parser.add_argument('--data',nargs=1)
parser.add_argument('--fun',nargs=1)
args = parser.parse_args()
fun = None
if args.fun and args.fun[0] == "step":
fun = step_f
elif args.fun and args.fun[0] == "log":
fun = log_f
net = NetworkFactory().get_network()
if args.random:
net = NetworkFactory().build_random(net,args.random,fun)
elif args.data:
net= NetworkFactory().build_from_file(net,args.data[0],fun)
while True:
var = raw_input("\n----\nEnter input vector:")
input = [float(a) for a in var.split()]
net.compute(input)
print "\nNetwork after computation:"
print net
print "Network result is:"
print net.result()
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--random',nargs='*',type=int)
parser.add_argument('--data',nargs=1)
parser.add_argument('--learn_file',nargs=1)
parser.add_argument('--steps',nargs=1,type=int)
parser.add_argument('--fun',nargs=1)
args = parser.parse_args()
fun = None
if args.fun and args.fun[0] == "step":
fun = step_f
elif args.fun and args.fun[0] == "log":
fun = log_f
net = NetworkFactory().get_kohonen_network()
# init weights from file or randomly
if args.random:
net = NetworkFactory().build_random(net,args.random,fun,init_zeros=False)
elif args.data:
net= NetworkFactory().build_from_file(net,args.data[0],fun)
# init specific kohonen properties
net.findNeighbors = net.findNeighbors2D
net.radius = 1
net.teta = 0.06
net.max_teta = net.teta
net.conscious_min = 0.75
# init conscious
for node in net.layers[1]:
node.conscious = 1.0
net.conscious = True
# teach network
with open(args.learn_file[0]) as f:
learning_set = [[float(a) for a in line.split()] for line in f]
for step in xrange(args.steps[0]):
net.learn(step,args.steps[0],learning_set)
while True:
for node in net.layers[1]:
print [0 if a < 0.01 else 1 for a in node.weights ]
var = raw_input("\n----\nEnter input vector:")
input = [float(a) for a in var.split()]
net.compute(input)
print "\nNetwork after computation:"
print net
print "Network result is:"
print net.result()
print "Matched node:"
print net.result().index(max(net.result()))
