Variables | |
| c | |
| string | cmd = '{0} -s "{1}" "{2}" > "{3}"'.format(svmscale_exe, range_file, train_pathname, scaled_file) |
| f = Popen(cmd, shell = True, stdout = PIPE).stdout | |
| file_name = os.path.split(train_pathname)[1] | |
| g | |
| string | gnuplot_exe = "/usr/bin/gnuplot" |
| string | grid_py = "./grid.py" |
| tuple | is_win32 = (sys.platform == 'win32') |
| string | last_line = line |
| string | line = '' |
| string | model_file = file_name + ".model" |
| string | predict_test_file = file_name + ".predict" |
| string | range_file = file_name + ".range" |
| rate | |
| string | scaled_file = file_name + ".scale" |
| string | scaled_test_file = file_name + ".scale" |
| shell | |
| stdout | |
| string | svmpredict_exe = "../svm-predict" |
| string | svmscale_exe = "../svm-scale" |
| string | svmtrain_exe = "../svm-train" |
| test_pathname = sys.argv[2] | |
| train_pathname = sys.argv[1] | |
| True | |
| string easy.cmd = '{0} -s "{1}" "{2}" > "{3}"'.format(svmscale_exe, range_file, train_pathname, scaled_file) |
| easy.file_name = os.path.split(train_pathname)[1] |