casa-mp-base

#!/usr/bin/env python

​

import random

from random import randrange

import sys

from time import time

from datetime import datetime

#import string

#from string import *

import os

from os import system

from os import unlink

from subprocess import *

​

##### Path Setting #####

​

is_win32 = (sys.platform == 'win32')

if not is_win32:

    gridpy_exe = "./grid.py -log2c -2,9,2 -log2g 1,-11,-2"

    svmtrain_exe="../svm-train"

    svmpredict_exe="../svm-predict"

else:

    gridpy_exe = r".\grid.py -log2c -2,9,2 -log2g 1,-11,-2"

    svmtrain_exe=r"..\windows\svmtrain.exe"

    svmpredict_exe=r"..\windows\svmpredict.exe"

​

##### Global Variables #####

​

train_pathfile=""

train_file=""

test_pathfile=""

test_file=""

if_predict_all=0

​

whole_fsc_dict={}

whole_imp_v=[]

​

​

def arg_process():

    global train_pathfile, test_pathfile

    global train_file, test_file

    global svmtrain_exe, svmpredict_exe

​

    if len(sys.argv) not in [2,3]:

        print('Usage: %s training_file [testing_file]' % sys.argv[0])

        raise SystemExit

​

    train_pathfile=sys.argv[1]

    assert os.path.exists(train_pathfile),"training file not found"

    train_file = os.path.split(train_pathfile)[1]

​

    if len(sys.argv) == 3:

        test_pathfile=sys.argv[2]

        assert os.path.exists(test_pathfile),"testing file not found"

        test_file = os.path.split(test_pathfile)[1]

​

​

##### Decide sizes of selected feautures #####

​

def feat_num_try_half(max_index):

    v=[]

    while max_index > 1:

        v.append(max_index)