GitHub - tibristo/mva: mva analysis

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 93 Commits
Classification		Classification
CorrsAndSysts		CorrsAndSysts
transform_new		transform_new
2012_cross_sections.txt		2012_cross_sections.txt
2012_hcp_cross_sections.txt		2012_hcp_cross_sections.txt
CorrsAndSysts_OneLep_8TeV.root		CorrsAndSysts_OneLep_8TeV.root
CorrsAndSysts_ext.so		CorrsAndSysts_ext.so
DecisionTreeClassifier.py		DecisionTreeClassifier.py
ExtraTreesClassifier.py		ExtraTreesClassifier.py
HistoTransform_ext.so		HistoTransform_ext.so
Labels.txt		Labels.txt
Preselection.py.py		Preselection.py.py
README.txt		README.txt
RandomTreeClassifier.py		RandomTreeClassifier.py
Sample.py		Sample.py
SampleInfo.csv		SampleInfo.csv
SampleInfo.txt		SampleInfo.txt
SampleInfo2011.txt		SampleInfo2011.txt
SampleInfoSig.csv		SampleInfoSig.csv
SampleInfoSig.txt		SampleInfoSig.txt
SampleInfo_p1328.txt		SampleInfo_p1328.txt
SampleInfobkg.csv		SampleInfobkg.csv
SampleInfobkg.txt		SampleInfobkg.txt
SampleInfost.csv		SampleInfost.csv
SampleInfotop.csv		SampleInfotop.csv
SampleInfotop.txt		SampleInfotop.txt
SampleInfottbar.csv		SampleInfottbar.csv
adaBoost.py		adaBoost.py
adaImportances.txt		adaImportances.txt
adaImportancesSignalvsBkg.txt		adaImportancesSignalvsBkg.txt
ada_threading.py		ada_threading.py
commonntuples.txt		commonntuples.txt
createHists.py		createHists.py
cutsTypes.py		cutsTypes.py
getXSec.py		getXSec.py
inputSettings.csv		inputSettings.csv
plotting.py		plotting.py
readMethods.py		readMethods.py
runFits.py		runFits.py
settings.xml		settings.xml
settings_slimming.xml		settings_slimming.xml
slimFiles.py		slimFiles.py
sortAndCut.py		sortAndCut.py
subMSSMAOD.sh		subMSSMAOD.sh
subjob.sh		subjob.sh
svmAnalysis.py		svmAnalysis.py
testHT.py		testHT.py
testMultiThread.py		testMultiThread.py
testscikit.backup.py		testscikit.backup.py
testscikit.py		testscikit.py
trainBDTs.py		trainBDTs.py
trans.py		trans.py
vars2.txt		vars2.txt

Repository files navigation

Simple silly readme!

To run the TMVA one, go into Classification, run: root HbbTMVAClass.C.

To run the scikit one, python testscikit.py.  Close any images to get the program to carry on running.