Eval tuning

gistfile1.py

#!/usr/bin/python

import math
import numpy
import subprocess
from scipy.optimize import fmin_cg

bestv = 9999999

def sferror(x):
  global bestv
  with open('params', 'w') as f:
    for value in x:
      f.write('%d\n' % (int(value + 0.5)))
  p = subprocess.Popen('./stockfish', stdout=subprocess.PIPE)
  output = p.communicate()[0]
  v = float(output)
  print v
  if v < bestv:
    bestv = v
    with open('params.best', 'w') as f:
      for value in x:
        f.write('%d\n' % (int(value + 0.5)))

  return v

def main():
  with open('params') as f:
    params = [float(x) for x in f.readlines()]

  fmin_cg(sferror, params, epsilon=20)

main()