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📄 02_runexperiments.sh

📁 R language dataset generate program. And data mining for data stream.
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#!/bin/bashWEKA_JAR=weka-cd.jarmkdir outputif !(test -e output/circle.arff_EDDM_rules.NNge.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/circle.arff -T datasets/circle.arff -K weka.classifiers.meta.scdrift.EDDM -W  weka.classifiers.rules.NNge > output/circle.arff_EDDM_rules.NNge.txt ; fiif !(test -e output/circle.arff_JGamaMethod_rules.NNge.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/circle.arff -T datasets/circle.arff -K weka.classifiers.meta.scdrift.JGamaMethod -W  weka.classifiers.rules.NNge > output/circle.arff_JGamaMethod_rules.NNge.txt ; fiif !(test -e output/circle.arff_EDDM_lazy.IB1.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/circle.arff -T datasets/circle.arff -K weka.classifiers.meta.scdrift.EDDM -W  weka.classifiers.lazy.IB1 > output/circle.arff_EDDM_lazy.IB1.txt ; fiif !(test -e output/circle.arff_JGamaMethod_lazy.IB1.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/circle.arff -T datasets/circle.arff -K weka.classifiers.meta.scdrift.JGamaMethod -W  weka.classifiers.lazy.IB1 > output/circle.arff_JGamaMethod_lazy.IB1.txt ; fiif !(test -e output/circle.arff_EDDM_trees.J48.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/circle.arff -T datasets/circle.arff -K weka.classifiers.meta.scdrift.EDDM -W  weka.classifiers.trees.J48 > output/circle.arff_EDDM_trees.J48.txt ; fiif !(test -e output/circle.arff_JGamaMethod_trees.J48.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/circle.arff -T datasets/circle.arff -K weka.classifiers.meta.scdrift.JGamaMethod -W  weka.classifiers.trees.J48 > output/circle.arff_JGamaMethod_trees.J48.txt ; fiif !(test -e output/sine1.arff_EDDM_rules.NNge.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/sine1.arff -T datasets/sine1.arff -K weka.classifiers.meta.scdrift.EDDM -W  weka.classifiers.rules.NNge > output/sine1.arff_EDDM_rules.NNge.txt ; fiif !(test -e output/sine1.arff_JGamaMethod_rules.NNge.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/sine1.arff -T datasets/sine1.arff -K weka.classifiers.meta.scdrift.JGamaMethod -W  weka.classifiers.rules.NNge > output/sine1.arff_JGamaMethod_rules.NNge.txt ; fiif !(test -e output/sine1.arff_EDDM_lazy.IB1.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/sine1.arff -T datasets/sine1.arff -K weka.classifiers.meta.scdrift.EDDM -W  weka.classifiers.lazy.IB1 > output/sine1.arff_EDDM_lazy.IB1.txt ; fiif !(test -e output/sine1.arff_JGamaMethod_lazy.IB1.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/sine1.arff -T datasets/sine1.arff -K weka.classifiers.meta.scdrift.JGamaMethod -W  weka.classifiers.lazy.IB1 > output/sine1.arff_JGamaMethod_lazy.IB1.txt ; fiif !(test -e output/sine1.arff_EDDM_trees.J48.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/sine1.arff -T datasets/sine1.arff -K weka.classifiers.meta.scdrift.EDDM -W  weka.classifiers.trees.J48 > output/sine1.arff_EDDM_trees.J48.txt ; fiif !(test -e output/sine1.arff_JGamaMethod_trees.J48.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/sine1.arff -T datasets/sine1.arff -K weka.classifiers.meta.scdrift.JGamaMethod -W  weka.classifiers.trees.J48 > output/sine1.arff_JGamaMethod_trees.J48.txt ; fiif !(test -e output/sine1g.arff_EDDM_rules.NNge.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/sine1g.arff -T datasets/sine1g.arff -K weka.classifiers.meta.scdrift.EDDM -W  weka.classifiers.rules.NNge > output/sine1g.arff_EDDM_rules.NNge.txt ; fiif !(test -e output/sine1g.arff_JGamaMethod_rules.NNge.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/sine1g.arff -T datasets/sine1g.arff -K weka.classifiers.meta.scdrift.JGamaMethod -W  weka.classifiers.rules.NNge > output/sine1g.arff_JGamaMethod_rules.NNge.txt ; fiif !(test -e output/sine1g.arff_EDDM_lazy.IB1.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/sine1g.arff -T datasets/sine1g.arff -K weka.classifiers.meta.scdrift.EDDM -W  weka.classifiers.lazy.IB1 > output/sine1g.arff_EDDM_lazy.IB1.txt ; fiif !(test -e output/sine1g.arff_JGamaMethod_lazy.IB1.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/sine1g.arff -T datasets/sine1g.arff -K weka.classifiers.meta.scdrift.JGamaMethod -W  weka.classifiers.lazy.IB1 > output/sine1g.arff_JGamaMethod_lazy.IB1.txt ; fiif !(test -e output/sine1g.arff_EDDM_trees.J48.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/sine1g.arff -T datasets/sine1g.arff -K weka.classifiers.meta.scdrift.EDDM -W  weka.classifiers.trees.J48 > output/sine1g.arff_EDDM_trees.J48.txt ; fiif !(test -e output/sine1g.arff_JGamaMethod_trees.J48.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/sine1g.arff -T datasets/sine1g.arff -K weka.classifiers.meta.scdrift.JGamaMethod -W  weka.classifiers.trees.J48 > output/sine1g.arff_JGamaMethod_trees.J48.txt ; fiif !(test -e output/gauss.arff_EDDM_rules.NNge.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/gauss.arff -T datasets/gauss.arff -K weka.classifiers.meta.scdrift.EDDM -W  weka.classifiers.rules.NNge > output/gauss.arff_EDDM_rules.NNge.txt ; fiif !(test -e output/gauss.arff_JGamaMethod_rules.NNge.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/gauss.arff -T datasets/gauss.arff -K weka.classifiers.meta.scdrift.JGamaMethod -W  weka.classifiers.rules.NNge > output/gauss.arff_JGamaMethod_rules.NNge.txt ; fiif !(test -e output/gauss.arff_EDDM_lazy.IB1.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/gauss.arff -T datasets/gauss.arff -K weka.classifiers.meta.scdrift.EDDM -W  weka.classifiers.lazy.IB1 > output/gauss.arff_EDDM_lazy.IB1.txt ; fiif !(test -e output/gauss.arff_JGamaMethod_lazy.IB1.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/gauss.arff -T datasets/gauss.arff -K weka.classifiers.meta.scdrift.JGamaMethod -W  weka.classifiers.lazy.IB1 > output/gauss.arff_JGamaMethod_lazy.IB1.txt ; fiif !(test -e output/gauss.arff_EDDM_trees.J48.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/gauss.arff -T datasets/gauss.arff -K weka.classifiers.meta.scdrift.EDDM -W  weka.classifiers.trees.J48 > output/gauss.arff_EDDM_trees.J48.txt ; fiif !(test -e output/gauss.arff_JGamaMethod_trees.J48.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/gauss.arff -T datasets/gauss.arff -K weka.classifiers.meta.scdrift.JGamaMethod -W  weka.classifiers.trees.J48 > output/gauss.arff_JGamaMethod_trees.J48.txt ; fiif !(test -e output/mixed.arff_EDDM_rules.NNge.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/mixed.arff -T datasets/mixed.arff -K weka.classifiers.meta.scdrift.EDDM -W  weka.classifiers.rules.NNge > output/mixed.arff_EDDM_rules.NNge.txt ; fiif !(test -e output/mixed.arff_JGamaMethod_rules.NNge.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/mixed.arff -T datasets/mixed.arff -K weka.classifiers.meta.scdrift.JGamaMethod -W  weka.classifiers.rules.NNge > output/mixed.arff_JGamaMethod_rules.NNge.txt ; fiif !(test -e output/mixed.arff_EDDM_lazy.IB1.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/mixed.arff -T datasets/mixed.arff -K weka.classifiers.meta.scdrift.EDDM -W  weka.classifiers.lazy.IB1 > output/mixed.arff_EDDM_lazy.IB1.txt ; fiif !(test -e output/mixed.arff_JGamaMethod_lazy.IB1.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/mixed.arff -T datasets/mixed.arff -K weka.classifiers.meta.scdrift.JGamaMethod -W  weka.classifiers.lazy.IB1 > output/mixed.arff_JGamaMethod_lazy.IB1.txt ; fiif !(test -e output/mixed.arff_EDDM_trees.J48.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/mixed.arff -T datasets/mixed.arff -K weka.classifiers.meta.scdrift.EDDM -W  weka.classifiers.trees.J48 > output/mixed.arff_EDDM_trees.J48.txt ; fiif !(test -e output/mixed.arff_JGamaMethod_trees.J48.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/mixed.arff -T datasets/mixed.arff -K weka.classifiers.meta.scdrift.JGamaMethod -W  weka.classifiers.trees.J48 > output/mixed.arff_JGamaMethod_trees.J48.txt ; fiif !(test -e output/elec2.arff_EDDM_rules.NNge.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/elec2.arff -T datasets/elec2.arff -K weka.classifiers.meta.scdrift.EDDM -W  weka.classifiers.rules.NNge > output/elec2.arff_EDDM_rules.NNge.txt ; fiif !(test -e output/elec2.arff_JGamaMethod_rules.NNge.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/elec2.arff -T datasets/elec2.arff -K weka.classifiers.meta.scdrift.JGamaMethod -W  weka.classifiers.rules.NNge > output/elec2.arff_JGamaMethod_rules.NNge.txt ; fiif !(test -e output/elec2.arff_EDDM_lazy.IB1.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/elec2.arff -T datasets/elec2.arff -K weka.classifiers.meta.scdrift.EDDM -W  weka.classifiers.lazy.IB1 > output/elec2.arff_EDDM_lazy.IB1.txt ; fiif !(test -e output/elec2.arff_JGamaMethod_lazy.IB1.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/elec2.arff -T datasets/elec2.arff -K weka.classifiers.meta.scdrift.JGamaMethod -W  weka.classifiers.lazy.IB1 > output/elec2.arff_JGamaMethod_lazy.IB1.txt ; fiif !(test -e output/elec2.arff_EDDM_trees.J48.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/elec2.arff -T datasets/elec2.arff -K weka.classifiers.meta.scdrift.EDDM -W  weka.classifiers.trees.J48 > output/elec2.arff_EDDM_trees.J48.txt ; fiif !(test -e output/elec2.arff_JGamaMethod_trees.J48.txt); then java -Xmx256M -cp $WEKA_JAR weka.classifiers.meta.SCDrift -t datasets/elec2.arff -T datasets/elec2.arff -K weka.classifiers.meta.scdrift.JGamaMethod -W  weka.classifiers.trees.J48 > output/elec2.arff_JGamaMethod_trees.J48.txt ; fi

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