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