#! /bin/bash
# Example of running cocomin: simply give it the train and test file names.
# It expects to have data preprocessed like this.
# This is simply an example so I'm using the same file twice, but please try with others.

# IMPORTANT - fastCocomin NEEDS TO BE UPDATED TO USE SCALE FACTORS

# Create tmp directory if necessary
if [ ! -d /tmp/$USER ]
then
mkdir "/tmp/$USER"
fi

cd ..

g++ -Wall fastCocominExperimentDebug.cpp -o fastCocominExperimentDebug

MyRoot="../../../trunk/"

Train="/tmp/$USER/coc81_all.csv.numeric"
Test="/tmp/$USER/coc81_all.csv.numeric"

# Preprocess the data
#echo "Preprocessing nasa93.csv"
gawk -f $MyRoot"baker_lc/convertcsv.awk" Method="COC81" Style="precise" $MyRoot"data/coc81.csv" > $Train
#echo "Preprocessed data stored at "$Train

Base=$(basename $Train)
./rankAttributes $Train
./fastCocominExperimentDebug $Train $Base