#!/bin/bash

# dense data, linear kernel; train + test

#foo=tic-tac-toe/tic-tac-toe
foo=pima-indians-diabetes/pima-indians-diabetes
train_data=${foo}.data
test_data=${foo}.data
d=`cat $train_data | head -1 | wc -w`
d=`expr $d - 1`
C=0.05
tolerance=0.001
epsilon=0.001
svm_file_name=svm.model
output_file_name=svm.output
random_seed=$RANDOM
../c/smo-debug -f  $train_data -o $output_file_name -m  $svm_file_name \
         -d  $d -c  $C -t  $tolerance -e $epsilon -r  $random_seed \
         -l
../c/smo-debug -f $test_data -o $output_file_name -m $svm_file_name \
         -a