'''
Created on 24/03/2012
@author: newlog
'''
from NNConfiguration import NNConfiguration
cnf = NNConfiguration(None, 2, [3, 1], 3, "./src/dataset/data.txt")
print "1.- Without conf file - Parameters: " , cnf.get_NN_parameters(), "\n"
cnf = NNConfiguration("./nonexistentfile", None, None, None, None)
print "2.- With conf file - Parameters: " , cnf.get_NN_parameters(), "\n"
cnf = NNConfiguration("./nonexistentfile", 2, [3, 1], 3, "./src/dataset/data.txt")
print "3.- Incorrect initialization - Parameters: " , cnf.get_NN_parameters(), "\n"
cnf = NNConfiguration(None, None, [3, 1], 3, "./src/dataset/data.txt", "./src/dataset/weights.txt")
print "4.- Test initialization - Parameters: " , cnf.get_NN_parameters(), "\n"
@author: newlog
'''
import sys
from NNConfiguration import NNConfiguration
from NeuralNetwork import NeuralNetwork
import time
def usage():
print "\n[?] You only have to pass the configuration file."
print "Coded by Newlog, see you console cowboys\n"
if __name__ == '__main__':
if len(sys.argv) != 2:
# The program has been invoked incorrectly
usage()
exit()
# The program has been invoked with a configuration file
nn_conf = NNConfiguration(sys.argv[1])
# Now we can build the neural network
nn = NeuralNetwork(nn_conf)
# Now we can activate the neural network
init = time.time()
nn.activate()
final = time.time()
print "[+] Execution time: %s seconds" % str(final - init)
print "[*] Well done, Neural Cowboy."
2st = Number of iterations of the dataset
2nd = A list containing the number of nodes in each layer
3th = The number of inputs of the neural network
4th = The path to the training set
'''
###############################################################
###############################################################
#### SUN SPOT TRAINING AND TEST START #####
###############################################################
###############################################################
'''
The Neural Network is invoked to be trained with the sunspots
'''
cnf = NNConfiguration(None, 1, [2, 1], 2,
"./src/dataset/DEBUG1/DEBUG_1_DATASET.txt")
nn = NeuralNetwork(cnf)
'''
The Neural Network is invoked to test unclassified instances with the sunspots. (Production)
'''
'''
cnf = NNConfiguration( None,
1,
[21, 1],
11,
"./src/dataset/good_sunspot_test.dat",
"./WEIGHTS_May_12_19_35.txt")
'''
'''
nn = NeuralNetwork(cnf)
'''
'''
Created on 26/06/2012
@author: newlog
'''
from NNConfiguration import NNConfiguration
cnf = NNConfiguration("./src/tests/conf/good_conf.txt", None, None, None, None)
print "1.- With conf file - Parameters: " , cnf.get_NN_parameters(), "\n"
cnf = NNConfiguration("./src/tests/conf/bad_conf_2.txt", None, None, None, None)
print "1.- With conf file - Parameters: " , cnf.get_NN_parameters(), "\n"
cnf = NNConfiguration("./src/tests/conf/bad_conf_1.txt", None, None, None, None)
print "1.- With conf file - Parameters: " , cnf.get_NN_parameters(), "\n"
