#!/bin/bash

# sparse binary data, Gaussian kernel; train + test

foo=tic-tac-toe/tic-tac-toe
train_data=${foo}.data2
test_data=${foo}.data2
d=27
C=0.05
tolerance=0.001
epsilon=0.001
svm_file_name=../tmp/svm.model
output_file_name=../tmp/svm.output
two_sigma_squared=2
random_seed=$RANDOM
../c/smo -f  $train_data -o $output_file_name -m  $svm_file_name \
         -d  $d -c  $C -t  $tolerance -e $epsilon -r  $random_seed \
         -b -s -p $two_sigma_squared
../c/smo -f $test_data -o $output_file_name -m $svm_file_name \
         -a