#! /bin/bash

# ./effort $Filename $Path $Learner $TestFile $TrainFile $TargetEMs $LogFile

# Arguments
Filename=$1
Path=$2
Learner=$3
TestFile=$4
TrainFile=$5
TargetEMs=$6
LogFile=$7

gawk -f simpleLC.awk Pass=1 TargetEMs=$TargetEMs $TrainFile Pass=2 TargetEMs=$TargetEMs $TestFile > $LogFile
Stats=$(./calc $LogFile)

#TrainingCount=$(gawk 'END{print NR;}' $TrainFile)

if [ $Learner == "attrLC" ] ; then
	#Calculate Standard Deviation of Attribute
	AttrDev=$(gawk -f columnStDev.awk Columns=$TargetEMs $Filename)

	#Calculate Entropy of Attribute (using discrete formula because the effort multipliers are discrete)
	AttrEntropy=$(gawk -f columnEntropy.awk Columns=$TargetEMs $Filename)

	AvgCorr=$(echo $Stats | gawk 'BEGIN{FS=","} NR==1{print $4}')

	echo $TargetEMs","$AvgCorr","$AttrDev","$AttrEntropy
fi
if [ $Learner == "simpleLC" ] ; then
	echo $Stats","$TargetEMs
fi