#!/bin/bash
Here=`pwd`
Sandbox=`$Here/bin/playpen coseekmo`
Repeats=20
Use=10
Pred=30
Trust=95
FullAttributeLearners="cocomost cocomin newCocomin nearestNeighborMe nearestNeighborMre locomoFull lcFull m5pFull lsrFull dynamicLocomoMean dynamicLocomoMedian"
AnyAttributeLearners="nearestNeighborMe nearestNeighborMre locomo lc m5p lsr dynamicLocomoMean dynamicLocomoMedian"

Log=$Here/results/mainLog

trap "/bin/rm -rf $Sandbox" 0 1 2 3 15

cp config/* $Sandbox
cp bin/* $Sandbox
cp lib/* $Sandbox
mkdir $Sandbox/data
cp ../../../../trunk/data/* $Sandbox/data/
cp ../../../../trunk/weka/lib/weka.jar $Sandbox
cp cocomost/* $Sandbox
cp cocomin/* $Sandbox
cp locomo/* $Sandbox
cp learners/* $Sandbox
cp nearest/* $Sandbox
cp `which malign` $Sandbox
cp `which blab` $Sandbox

cd $Sandbox

g++ -Wall cocomostFSS.cpp -o cocomostFSS
g++ -Wall fastCocomin.cpp -o fastCocomin
g++ -Wall cocomin81.cpp -o cocomin81

gawk -f coc81.awk data/coc81modetypelangtype.csv
gawk -f nasa93.awk data/nasa93.csv

#Find dataset sizes
#./datasetSizes > $Here/results/datasetSizes

#Run the experiment and generate the results
#./generate $Here $Sandbox $Repeats $Use $Pred "$FullAttributeLearners" "$AnyAttributeLearners" $Log

#Prepare the log file for non-parametric analysis
#./prepareForRanking $Here $Log

#Run the non-parametric analysis using mwu
#./mwu-Run $Here $Log AR
#./mwu-Run $Here $Log MRE
#./mwu-Run $Here $Log MER

#Run the non-parametric analysis for different hypothesis using WMW
#./nonParametricAnalysisWMW-Run $Here $Log "0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 100 101 102"

#Run the non-parametric analysis using medians
#./nonParametricAnalysisMedian $Here/results/datasetSizes $Log > $Here/results/nonParametricResults

#Run the parametric analysis
#./parametricAnalysis $Here $Sandbox $Pred $Trust $Log

#Generate the MREs only
#./mre-Run $Here $Log

#Generate the REs only
#./re-Run $Here $Log