Help with CLOP configuration
Posted: Tue May 23, 2017 1:53 am
I am trying to run Remi Coulom's CLOP to optimize my evaluation constants.
However, I can't get it to work. This is my experiment log output:
And this is my experiment.clop file:
What should I put on the processor line to get this to work? I'm running it on Linux.
Thanks in advance!
However, I can't get it to work. This is my experiment log output:
Code: Select all
2017-05-22 17:48:46 ===== Starting: DragonExperiment =====
2017-05-22 17:48:46 Reading DragonExperiment-old.dat...
2017-05-22 17:48:46 Backup done.
2017-05-22 17:48:46 Samples = 1; Results = 0; Mismatches = 0.
2017-05-22 17:48:46 Run
2017-05-22 17:48:46 id = 0 (cpu1); Seed = 0; Starting from setInProgress
2017-05-22 17:48:46 id = 0 (cpu1); Seed = 0; Error: execvp: Permission denied
2017-05-22 17:48:46 id = 0 stopped. RunningProcessors = 0
2017-05-22 17:48:46 StopCode: Select all
# Name (used for .log and .dat files)
Name DragonExperiment
# Script for running a game. See DummyScript.py for details.
Script ./cutechess-clop.py
# Parameter(s) to be optimized
# <parameter_type> <name> <min> <max>
# <parameter_type> may be:
# LinearParameter
# IntegerParameter
# GammaParameter
# IntegerGammaParameter
# For GammaParameter, quadratic regression is performed on log(x)
# Warning: 123 and not 123.0 should be used for IntegerParameter
IntegerParameter BishopPairBonus 0 100
IntegerParameter DiagonalMobilityBonus 0 50
IntegerParameter OrthogonalMobilityBonus 0 50
IntegerParameter DoubledPawnPenalty 0 100
IntegerParameter PassedPawnBonus 0 100
IntegerParameter IsolatedPawnPenalty 0 100
# This could be the list of machine names in a distributed experiment.
# In order to run 4 games in parallel, 2 on machine1, 2 on machine2:
Processor cpu1
#Processor machine2
#Processor machine2
# Call the script "Replications" times in a row with identical parameter values
# Replications may be used to alternate colors, for instance.
# Seed % Replications would indicate color.
Replications 2
# Parameters of statistical model of outcome
# For binary outcome (Win/Loss, no draws), use "DrawElo 0"
# For chess, use "DrawElo 100"
DrawElo 100
# Regression parameters
# H 3 is recommended (it is the default value)
# Correlations may be "all" (default) or "none"
# Even if variables are not correlated "all" should work well. The problem is
# that the regression might become very costly if the number of variables is
# high. So use "Correlations none" only if you are certain parameters are
# independent or you have so many variables that "all" is too costly.
H 3
Correlations all
Thanks in advance!