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gridregression.py
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gridregression.py
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#!/usr/bin/env python
# This gridregression.py is modified from grid.py in LIBSVM 3.17 version
__all__ = ['find_parameters']
import os, sys, traceback, getpass, time, re
from threading import Thread
from subprocess import *
if sys.version_info[0] < 3:
from Queue import Queue
else:
from queue import Queue
telnet_workers = []
ssh_workers = []
nr_local_worker = 4
class GridOption:
def __init__(self, dataset_pathname, options):
dirname = os.path.dirname(__file__)
if sys.platform != 'win32':
self.svmtrain_pathname = '/usr/bin/svm-train'
self.gnuplot_pathname = '/usr/bin/gnuplot'
else:
# example for windows
self.svmtrain_pathname = os.path.join(dirname, r'..\windows\svm-train.exe')
# svmtrain_pathname = r'c:\Program Files\libsvm\windows\svm-train.exe'
self.gnuplot_pathname = r'c:\tmp\gnuplot\binary\pgnuplot.exe'
self.fold = 5
self.c_begin, self.c_end, self.c_step = -1, 6, 1
self.g_begin, self.g_end, self.g_step = 0, -8, -1
self.p_begin, self.p_end, self.p_step = -8, -1, 1
self.grid_with_c, self.grid_with_g, self.grid_with_p = True, True, True
self.dataset_pathname = dataset_pathname
self.dataset_title = os.path.split(dataset_pathname)[1]
self.out_pathname = '{0}.out'.format(self.dataset_title)
self.png_pathname = '{0}.png'.format(self.dataset_title)
self.pass_through_string = ' '
self.resume_pathname = None
self.parse_options(options)
def parse_options(self, options):
if type(options) == str:
options = options.split()
i = 0
pass_through_options = []
while i < len(options):
if options[i] == '-log2c':
i = i + 1
if options[i] == 'null':
self.grid_with_c = False
else:
self.c_begin, self.c_end, self.c_step = map(float,options[i].split(','))
elif options[i] == '-log2g':
i = i + 1
if options[i] == 'null':
self.grid_with_g = False
else:
self.g_begin, self.g_end, self.g_step = map(float,options[i].split(','))
elif options[i] == '-log2p' :
i = i + 1
if options[i] == 'null':
self.grid_with_p = False
else:
self.p_begin, self.p_end, self.p_step = map(float,options[i].split(','))
elif options[i] == '-v':
i = i + 1
self.fold = options[i]
elif options[i] in ('-c','-g','-p'):
raise ValueError('Use -log2c , -log2g and -log2p.')
elif options[i] == '-svmtrain':
i = i + 1
self.svmtrain_pathname = options[i]
elif options[i] == '-gnuplot':
i = i + 1
if options[i] == 'null':
self.gnuplot_pathname = None
else:
self.gnuplot_pathname = options[i]
elif options[i] == '-out':
i = i + 1
if options[i] == 'null':
self.out_pathname = None
else:
self.out_pathname = options[i]
elif options[i] == '-png':
i = i + 1
self.png_pathname = options[i]
elif options[i] == '-resume':
if i == (len(options)-1) or options[i+1].startswith('-'):
self.resume_pathname = self.dataset_title + '.out'
else:
i = i + 1
self.resume_pathname = options[i]
else:
pass_through_options.append(options[i])
i = i + 1
self.pass_through_string = ' '.join(pass_through_options)
if not os.path.exists(self.svmtrain_pathname):
raise IOError('svm-train executable not found')
if not os.path.exists(self.dataset_pathname):
raise IOError('dataset not found')
if self.resume_pathname and not os.path.exists(self.resume_pathname):
raise IOError('file for resumption not found')
if not self.grid_with_c and not self.grid_with_g and not self.grid_with_p:
raise ValueError('-log2c , -log2g and -log2p should not be null simultaneously')
self.gnuplot_pathname = None
if self.gnuplot_pathname and not os.path.exists(self.gnuplot_pathname):
sys.stderr.write('gnuplot executable not found\n')
self.gnuplot_pathname = None
def redraw(db,best_param,gnuplot,options,tofile=False):
if len(db) == 0: return
begin_level = round(max(x[2] for x in db)) - 3
step_size = 0.5
best_log2c,best_log2g,best_mse = best_param
# if newly obtained c, g, or cv values are the same,
# then stop redrawing the contour.
# if all(x[0] == db[0][0] for x in db): return
# if all(x[1] == db[0][1] for x in db): return
# if all(x[2] == db[0][2] for x in db): return
if tofile:
gnuplot.write(b"set term png transparent small linewidth 2 medium enhanced\n")
gnuplot.write("set output \"{0}\"\n".format(options.png_pathname.replace('\\','\\\\')).encode())
#gnuplot.write(b"set term postscript color solid\n")
#gnuplot.write("set output \"{0}.ps\"\n".format(options.dataset_title).encode().encode())
elif sys.platform == 'win32':
gnuplot.write(b"set term windows\n")
else:
gnuplot.write( b"set term x11\n")
gnuplot.write(b"set xlabel \"log2(C)\"\n")
gnuplot.write(b"set ylabel \"log2(gamma)\"\n")
gnuplot.write("set xrange [{0}:{1}]\n".format(options.c_begin,options.c_end).encode())
gnuplot.write("set yrange [{0}:{1}]\n".format(options.g_begin,options.g_end).encode())
gnuplot.write(b"set contour\n")
gnuplot.write("set cntrparam levels incremental {0},{1},100\n".format(begin_level,step_size).encode())
gnuplot.write(b"unset surface\n")
gnuplot.write(b"unset ztics\n")
gnuplot.write(b"set view 0,0\n")
gnuplot.write("set title \"{0}\"\n".format(options.dataset_title).encode())
gnuplot.write(b"unset label\n")
gnuplot.write("set label \"Best log2(C) = {0} log2(gamma) = {1} mse = {2}\" \
at screen 0.5,0.85 center\n". \
format(best_log2c, best_log2g, best_mse).encode())
gnuplot.write("set label \"C = {0} gamma = {1}\""
" at screen 0.5,0.8 center\n".format(2**best_log2c, 2**best_log2g).encode())
gnuplot.write(b"set key at screen 0.9,0.9\n")
gnuplot.write(b"splot \"-\" with lines\n")
db.sort(key = lambda x:(x[0], -x[1]))
prevc = db[0][0]
for line in db:
if prevc != line[0]:
gnuplot.write(b"\n")
prevc = line[0]
gnuplot.write("{0[0]} {0[1]} {0[2]}\n".format(line).encode())
gnuplot.write(b"e\n")
gnuplot.write(b"\n") # force gnuplot back to prompt when term set failure
gnuplot.flush()
def calculate_jobs(options):
def range_f(begin,end,step):
# like range, but works on non-integer too
seq = []
while True:
if step > 0 and begin > end: break
if step < 0 and begin < end: break
seq.append(begin)
begin = begin + step
return seq
def permute_sequence(seq):
n = len(seq)
if n <= 1: return seq
mid = int(n/2)
left = permute_sequence(seq[:mid])
right = permute_sequence(seq[mid+1:])
ret = [seq[mid]]
while left or right:
if left: ret.append(left.pop(0))
if right: ret.append(right.pop(0))
return ret
c_seq = permute_sequence(range_f(options.c_begin,options.c_end,options.c_step))
g_seq = permute_sequence(range_f(options.g_begin,options.g_end,options.g_step))
p_seq = permute_sequence(range_f(options.p_begin,options.p_end,options.p_step))
if not options.grid_with_c:
c_seq = [None]
if not options.grid_with_g:
g_seq = [None]
if not options.grid_with_p:
p_seq = [None]
nr_c = len(c_seq)
nr_g = len(g_seq)
nr_p = len(p_seq)
jobs = []
for i in range(0,nr_c):
for j in range(0,nr_g):
for s in range(0,nr_p):
line=[]
line.append((c_seq[i],g_seq[j],p_seq[s]))
jobs.append(line)
resumed_jobs = {}
if options.resume_pathname is None:
return jobs, resumed_jobs
for line in open(options.resume_pathname, 'r'):
line = line.strip()
rst = re.findall(r'mse=([0-9.]+)',line)
if not rst:
continue
mse = float(rst[0])
c, g, p = None, None, None
rst = re.findall(r'log2c=([0-9.-]+)',line)
if rst:
c = float(rst[0])
rst = re.findall(r'log2g=([0-9.-]+)',line)
if rst:
g = float(rst[0])
rst = re.findall(r'log2p=([0-9,-]+)',line)
if rst:
p = float(rst[0])
resumed_jobs[(c,g,p)] = mse
return jobs, resumed_jobs
class WorkerStopToken: # used to notify the worker to stop or if a worker is dead
pass
class Worker(Thread):
def __init__(self,name,job_queue,result_queue,options):
Thread.__init__(self)
self.name = name
self.job_queue = job_queue
self.result_queue = result_queue
self.options = options
def run(self):
while True:
(cexp,gexp,pexp) = self.job_queue.get()
if cexp is WorkerStopToken:
self.job_queue.put((cexp,gexp,pexp))
# print('worker {0} stop.'.format(self.name))
break
try:
c, g, p = None, None, None
if cexp != None:
c = 2.0**cexp
if gexp != None:
g = 2.0**gexp
if pexp != None:
p = 2.0**pexp
mse = self.run_one(c,g,p)
if mse is None: raise RuntimeError('get no mse')
except:
# we failed, let others do that and we just quit
traceback.print_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2])
self.job_queue.put((cexp,gexp,pexp))
sys.stderr.write('worker {0} quit.\n'.format(self.name))
break
else:
self.result_queue.put((self.name,cexp,gexp,pexp,mse))
def get_cmd(self,c,g,p):
options=self.options
cmdline = options.svmtrain_pathname
cmdline += ' -s 3 '
if options.grid_with_c:
cmdline += ' -c {0} '.format(c)
if options.grid_with_g:
cmdline += ' -g {0} '.format(g)
if options.grid_with_p:
cmdline += ' -p {0}' .format(p)
cmdline += ' -v {0} {1} {2} '.format\
(options.fold,options.pass_through_string,options.dataset_pathname)
return cmdline
class LocalWorker(Worker):
def run_one(self,c,g,p):
cmdline = self.get_cmd(c,g,p)
# print(cmdline)
result = Popen(cmdline,shell=True,stdout=PIPE,stderr=PIPE,stdin=PIPE).stdout
for line in result.readlines():
if str(line).find('Cross') != -1:
return float(line.split()[-1])
class SSHWorker(Worker):
def __init__(self,name,job_queue,result_queue,host,options):
Worker.__init__(self,name,job_queue,result_queue,options)
self.host = host
self.cwd = os.getcwd()
def run_one(self,c,g,p):
cmdline = 'ssh -x -t -t {0} "cd {1}; {2}"'.format\
(self.host,self.cwd,self.get_cmd(c,g,p))
result = Popen(cmdline,shell=True,stdout=PIPE,stderr=PIPE,stdin=PIPE).stdout
for line in result.readlines():
if str(line).find('Cross') != -1:
return float(line.split()[-1])
class TelnetWorker(Worker):
def __init__(self,name,job_queue,result_queue,host,username,password,options):
Worker.__init__(self,name,job_queue,result_queue,options)
self.host = host
self.username = username
self.password = password
def run(self):
import telnetlib
self.tn = tn = telnetlib.Telnet(self.host)
tn.read_until('login: ')
tn.write(self.username + '\n')
tn.read_until('Password: ')
tn.write(self.password + '\n')
# XXX: how to know whether login is successful?
tn.read_until(self.username)
#
print('login ok', self.host)
tn.write('cd '+os.getcwd()+'\n')
Worker.run(self)
tn.write('exit\n')
def run_one(self,c,g,p):
cmdline = self.get_cmd(c,g,p)
result = self.tn.write(cmdline+'\n')
(idx,matchm,output) = self.tn.expect(['Cross.*\n'])
for line in output.split('\n'):
if str(line).find('Cross') != -1:
return float(line.split()[-1])
def find_parameters(dataset_pathname, options=''):
def update_param(c,g,p,mse,best_c,best_g,best_p,best_mse,worker,resumed):
if ( mse < best_mse ):
best_mse,best_c,best_g,best_p = mse,c,g,p
stdout_str = '[{0}] {1} {2} (best '.format\
(worker,' '.join(str(x) for x in [c,g,p] if x is not None),mse)
output_str = ''
if c != None:
stdout_str += 'c={0}, '.format(2.0**best_c)
output_str += 'log2c={0} '.format(c)
if g != None:
stdout_str += 'g={0}, '.format(2.0**best_g)
output_str += 'log2g={0} '.format(g)
if p != None:
stdout_str += 'p={0}, '.format(2.0**best_p)
output_str += 'log2p={0} '.format(p)
stdout_str += 'mse={0})'.format(best_mse)
print(stdout_str)
if options.out_pathname and not resumed:
output_str += 'mse={0}\n'.format(mse)
result_file.write(output_str)
result_file.flush()
return best_c,best_g,best_p,best_mse
options = GridOption(dataset_pathname, options);
if options.gnuplot_pathname:
gnuplot = Popen(options.gnuplot_pathname,stdin = PIPE,stdout=PIPE,stderr=PIPE).stdin
else:
gnuplot = None
# put jobs in queue
jobs,resumed_jobs = calculate_jobs(options)
job_queue = Queue(0)
result_queue = Queue(0)
for (c,g,p) in resumed_jobs:
result_queue.put(('resumed',c,g,p,resumed_jobs[(c,g,p)]))
for line in jobs:
for (c,g,p) in line:
if (c,g,p) not in resumed_jobs:
job_queue.put((c,g,p))
# hack the queue to become a stack --
# this is important when some thread
# failed and re-put a job. It we still
# use FIFO, the job will be put
# into the end of the queue, and the graph
# will only be updated in the end
job_queue._put = job_queue.queue.appendleft
# fire telnet workers
if telnet_workers:
nr_telnet_worker = len(telnet_workers)
username = getpass.getuser()
password = getpass.getpass()
for host in telnet_workers:
worker = TelnetWorker(host,job_queue,result_queue,
host,username,password,options)
worker.start()
# fire ssh workers
if ssh_workers:
for host in ssh_workers:
worker = SSHWorker(host,job_queue,result_queue,host,options)
worker.start()
# fire local workers
for i in range(nr_local_worker):
worker = LocalWorker('local',job_queue,result_queue,options)
worker.start()
# gather results
done_jobs = {}
if options.out_pathname:
if options.resume_pathname:
result_file = open(options.out_pathname, 'a')
else:
result_file = open(options.out_pathname, 'w')
db = []
best_mse = float('+inf')
best_c,best_g,best_p = None,None,None
for (c,g,p) in resumed_jobs:
mse = resumed_jobs[(c,g,p)]
best_c,best_g,best_p,best_mse = update_param(c,g,p,mse,best_c,best_g,best_p,best_mse,'resumed',True)
for line in jobs:
for (c,g,p) in line:
while (c,g,p) not in done_jobs:
(worker,c1,g1,p1,mse1) = result_queue.get()
done_jobs[(c1,g1,p1)] = mse1
if (c1,g1,p1) not in resumed_jobs:
best_c,best_g,best_p,best_mse = update_param(c1,g1,p1,mse1,best_c,best_g,best_p,best_mse,worker,False)
db.append((c,g,p,done_jobs[(c,g,p)]))
if gnuplot and options.grid_with_c and options.grid_with_g:
redraw(db,[best_c, best_g, best_mse],gnuplot,options)
redraw(db,[best_c, best_g, best_mse],gnuplot,options,True)
if options.out_pathname:
result_file.close()
job_queue.put((WorkerStopToken,None,None))
best_param, best_cgp = {}, []
if best_c != None:
best_param['c'] = 2.0**best_c
best_cgp += [2.0**best_c]
if best_g != None:
best_param['g'] = 2.0**best_g
best_cgp += [2.0**best_g]
if best_p != None:
best_param['p'] = 2.0**best_p
best_cgp += [2.0**best_p]
print('{0} {1}'.format(' '.join(map(str,best_cgp)), best_mse))
return best_mse, best_param
if __name__ == '__main__':
def exit_with_help():
print("""\
Usage: gridregression.py [grid_options] [svm_options] dataset
grid_options :
-log2c {begin,end,step | "null"} : set the range of c (default -1,6,1)
begin,end,step -- c_range = 2^{begin,...,begin+k*step,...,end}
"null" -- do not grid with c
-log2g {begin,end,step | "null"} : set the range of g (default 0,-8,-1)
begin,end,step -- g_range = 2^{begin,...,begin+k*step,...,end}
"null" -- do not grid with g
-log2p {begin,end,step | "null"} : set the range of p (default -8, -1, 1)
begin,end,step -- p_range = 2^{begin,...,begin+k*step,...,end}
"null" -- do not grid with p
-v n : n-fold cross validation (default 5)
-svmtrain pathname : set svm executable path and name
-out {pathname | "null"} : (default dataset.out)
pathname -- set output file path and name
"null" -- do not output file
-resume [pathname] : resume the grid task using an existing output file (default pathname is dataset.out)
This is experimental. Try this option only if some parameters have been checked for the SAME data.
svm_options : additional options for svm-train""")
sys.exit(1)
if len(sys.argv) < 2:
exit_with_help()
dataset_pathname = sys.argv[-1]
options = sys.argv[1:-1]
try:
find_parameters(dataset_pathname, options)
except (IOError,ValueError) as e:
sys.stderr.write(str(e) + '\n')
sys.stderr.write('Try "gridregression.py" for more information.\n')
sys.exit(1)