from self_organising_map import SelfOrganisingMap
from voronoi import Voronoi
from tools import SpacialGenerator, Logger
import sys, getopt
# the 'main' routine
if __name__ == "__main__":
try:
opts, args = getopt.getopt(sys.argv[1:], "x:y:n:l:m:s:e:d", [
"dim_x=", "dim_y=", "neurons=", "learning=", "min_euclidean=",
"spacial=", "epochs="
])
except getopt.GetoptError:
sys.exit(2)
Logger.output("options: {0}".format(opts))
Logger.output("arguments: {0}".format(args))
neurons = 10
x = 800
y = 600
learning_rate = 0.1
min_euclidean = 0.01
epochs = 1000
spacial = SpacialGenerator.line
for opt, arg in opts:
if opt in ("-x", "--dim_x"):
x = int(arg)
if opt in ("-y", "--dim_y"):
y = int(arg)
def __init__(self, neurons = 40, threshold = -1):
Logger.output("creating network")
self.neurons = [Neuron(i, neurons, threshold) for i in range(neurons)]
Logger.output("created network with {0} neurons".format(len(self.neurons)))
from self_organising_map import SelfOrganisingMap
from voronoi import Voronoi
from tools import SpacialGenerator, Logger
import sys, getopt
# the 'main' routine
if __name__ == "__main__":
try:
opts, args = getopt.getopt(sys.argv[1:],
"x:y:n:l:m:s:e:d",
["dim_x=", "dim_y=", "neurons=", "learning=", "min_euclidean=", "spacial=", "epochs="])
except getopt.GetoptError:
sys.exit(2)
Logger.output("options: {0}".format(opts))
Logger.output("arguments: {0}".format(args))
neurons = 10
x = 800
y = 600
learning_rate = 0.1
min_euclidean = 0.01
epochs = 1000
spacial = SpacialGenerator.line
for opt, arg in opts:
if opt in ("-x", "--dim_x"):
x = int(arg)
if opt in ("-y", "--dim_y"):
y = int(arg)
if opt in ("-n", "--neurons"):
if inn == None: inn = urls
if neurons == None: neurons = 40
hophop = HopfieldNet(neurons, threshold)
hophop.learn(inn)
hophop.test(inn)
if retrieve != None: hophop.retrieve(retrieve)
if __name__ == "__main__":
""" the main routine """
try:
opts, args = getopt.getopt(sys.argv[1:], "i:n:r:t:dm", ["input=", "manual", "neurons=", "retrieve=", "threshold="])
except getopt.GetoptError:
sys.exit(2)
Logger.output("options: {0}".format(opts))
Logger.output("arguments: {0}".format(args))
neurons = None
inn = None
retrieve = None
threshold = -1
for opt, arg in opts:
if opt in ("--manual"):
inn = args
if opt in ("-n", "--neurons"):
neurons = int(arg)
if opt == '-d':
Logger.debug = True
if opt in ("-r", "--retrieve"):
