📄 02_runexperiments.sh
字号:
#!/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
⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -