if __name__ == '__main__':
import sys
import time
if sys.version_info < (2, 7) or sys.version_info >= (3, 0):
print ("Requires Python 2.7.x")
exit()
del sys
headerfile = './data/kddcup.names'
datafile = './data/KDDTrain+_20Percent.txt'
datasize = None
start = time.time()
headers, _ = preprocessing.get_header_data()
headers.remove('protocol_type')
headers.remove('attack')
headers.remove('difficulty')
# plot preparation
df_training_20, df_training_full, gmms_20, gmms_full = preprocessing.get_preprocessed_training_data(datasize)
draw_gmm(df_training_20, gmms_20, headers, "training20")
# draw_gmm(df_training_full, gmms_full, headers, "trainingfull")
#
# # plot preparation
# df_test_plus, df_test_21, gmms_test_plus, gmms_test_21 = preprocessing.get_preprocessed_test_data(datasize)
# draw_gmm(df_test_plus, gmms_test_plus, headers, "testplus")
# draw_gmm(df_test_21, gmms_test_21, headers, "test21")
elapsed = (time.time() - start)
if __name__ == '__main__':
import sys
import time
if sys.version_info < (2, 7) or sys.version_info >= (3, 0):
print("Requires Python 2.7.x")
exit()
del sys
headerfile = './data/kddcup.names'
datafile = './data/KDDTrain+_20Percent.txt'
datasize = None
start = time.time()
headers, _ = preprocessing.get_header_data()
headers.remove('protocol_type')
headers.remove('attack')
headers.remove('difficulty')
# plot preparation
df_training_20, df_training_full, gmms_20, gmms_full = preprocessing.get_preprocessed_training_data(
datasize)
draw_gmm(df_training_20, gmms_20, headers, "training20")
# draw_gmm(df_training_full, gmms_full, headers, "trainingfull")
#
# # plot preparation
# df_test_plus, df_test_21, gmms_test_plus, gmms_test_21 = preprocessing.get_preprocessed_test_data(datasize)
# draw_gmm(df_test_plus, gmms_test_plus, headers, "testplus")
# draw_gmm(df_test_21, gmms_test_21, headers, "test21")
import preprocessing as preprocessing
import data.model as model
if __name__ == '__main__':
headers, attacks = preprocessing.get_header_data()
headers.remove('protocol_type')
headers.remove('attack')
headers.remove('difficulty')
df_training_20, df_training_full, gmms_20, gmms_full = preprocessing.get_preprocessed_training_data()
df_test_20, df_test_full, gmms_test_20, gmms_test_full = preprocessing.get_preprocessed_test_data()
# it shows every headers
df = df_training_20
df_cut = df[0:1]
for i, r in df_cut.iterrows() :
message = ""
for header in headers:
print header + str(r[header])
message = message + str(r[header]) + "/"
print str(i) + ": " + message
# while True:
# command = "1:"
# n = raw_input(command)
# if int(n) == 1:
# elif int(n) == 2:
# else :
# pass
import preprocessing as preprocessing
import data.model as model
if __name__ == '__main__':
headers, attacks = preprocessing.get_header_data()
headers.remove('protocol_type')
headers.remove('attack')
headers.remove('difficulty')
df_training_20, df_training_full, gmms_20, gmms_full = preprocessing.get_preprocessed_training_data(
)
df_test_20, df_test_full, gmms_test_20, gmms_test_full = preprocessing.get_preprocessed_test_data(
)
# it shows every headers
df = df_training_20
df_cut = df[0:1]
for i, r in df_cut.iterrows():
message = ""
for header in headers:
print header + str(r[header])
message = message + str(r[header]) + "/"
print str(i) + ": " + message
# while True:
# command = "1:"
# n = raw_input(command)
# if int(n) == 1:
# elif int(n) == 2:
# else :
# pass
