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#!/usr/bin/env python
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from optparse import OptionParser
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import sys
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import pickle
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import ROOT
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ROOT.gROOT.SetBatch(True)
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from array import array
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#warnings.filterwarnings( action='ignore', category=RuntimeWarning, message='creating converter.*' )
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#usage: ./train run gui
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#CONFIGURE
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argv = sys.argv
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parser = OptionParser()
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parser.add_option("-v", "--verbose", action="store_true", dest="verbose", default=False,
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help="Verbose mode.")
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parser.add_option("-T", "--training", dest="training", default="",
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help="Training")
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parser.add_option("-C", "--config", dest="config", default=[], action="append",
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help="configuration file")
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(opts, args) = parser.parse_args(argv)
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if opts.config =="":
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opts.config = "config"
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#Import after configure to get help message
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from myutils import BetterConfigParser, mvainfo, ParseInfo, TreeCache
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#load config
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config = BetterConfigParser()
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config.read(opts.config)
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anaTag = config.get("Analysis","tag")
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run=opts.training
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gui=opts.verbose
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#GLOABAL rescale from Train/Test Spliiting:
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global_rescale=2.
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#get locations:
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MVAdir=config.get('Directories','vhbbpath')+'/data/'
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samplesinfo=config.get('Directories','samplesinfo')
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#systematics
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systematics=config.get('systematics','systematics')
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systematics=systematics.split(' ')
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weightF=config.get('Weights','weightF')
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VHbbNameSpace=config.get('VHbbNameSpace','library')
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ROOT.gSystem.Load(VHbbNameSpace)
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#CONFIG
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#factory
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factoryname=config.get('factory','factoryname')
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factorysettings=config.get('factory','factorysettings')
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#MVA
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MVAtype=config.get(run,'MVAtype')
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MVAname=run
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MVAsettings=config.get(run,'MVAsettings')
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fnameOutput = MVAdir+factoryname+'_'+MVAname+'.root'
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#locations
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path=config.get('Directories','SYSout')
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TCutname=config.get(run, 'treeCut')
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TCut=config.get('Cuts',TCutname)
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#print TCut
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#signals
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signals=config.get(run,'signals')
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signals=signals.split(' ')
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#backgrounds
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backgrounds=config.get(run,'backgrounds')
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backgrounds=backgrounds.split(' ')
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treeVarSet=config.get(run,'treeVarSet')
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#variables
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#TreeVar Array
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MVA_Vars={}
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MVA_Vars['Nominal']=config.get(treeVarSet,'Nominal')
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MVA_Vars['Nominal']=MVA_Vars['Nominal'].split(' ')
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#Infofile
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info = ParseInfo(samplesinfo,path)
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#Workdir
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workdir=ROOT.gDirectory.GetPath()
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TrainCut='%s & EventForTraining==1'%TCut
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EvalCut='%s & EventForTraining==0'%TCut
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cuts = [TrainCut,EvalCut]
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samples = []
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samples = info.get_samples(signals+backgrounds)
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tc = TreeCache(cuts,samples,path)
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output = ROOT.TFile.Open(fnameOutput, "RECREATE")
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print '\n\t>>> READING EVENTS <<<\n'
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signal_samples = info.get_samples(signals)
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background_samples = info.get_samples(backgrounds)
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#TRAIN trees
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Tbackgrounds = []
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TbScales = []
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Tsignals = []
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TsScales = []
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#EVAL trees
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Ebackgrounds = []
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EbScales = []
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Esignals = []
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EsScales = []
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#load trees
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for job in signal_samples:
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print '\tREADING IN %s AS SIG'%job.name
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Tsignal = tc.get_tree(job,TrainCut)
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ROOT.gDirectory.Cd(workdir)
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TsScale = tc.get_scale(job,config)*global_rescale
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Tsignals.append(Tsignal)
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TsScales.append(TsScale)
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Esignal = tc.get_tree(job,EvalCut)
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Esignals.append(Esignal)
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EsScales.append(TsScale)
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print '\t\t\tTraining %s events'%Tsignal.GetEntries()
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print '\t\t\tEval %s events'%Esignal.GetEntries()
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for job in background_samples:
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print '\tREADING IN %s AS BKG'%job.name
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Tbackground = tc.get_tree(job,TrainCut)
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ROOT.gDirectory.Cd(workdir)
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TbScale = tc.get_scale(job,config)*global_rescale
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Tbackgrounds.append(Tbackground)
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TbScales.append(TbScale)
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Ebackground = tc.get_tree(job,EvalCut)
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ROOT.gDirectory.Cd(workdir)
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Ebackgrounds.append(Ebackground)
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EbScales.append(TbScale)
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print '\t\t\tTraining %s events'%Tbackground.GetEntries()
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print '\t\t\tEval %s events'%Ebackground.GetEntries()
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factory = ROOT.TMVA.Factory(factoryname, output, factorysettings)
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#set input trees
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for i in range(len(Tsignals)):
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factory.AddSignalTree(Tsignals[i], TsScales[i], ROOT.TMVA.Types.kTraining)
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factory.AddSignalTree(Esignals[i], EsScales[i], ROOT.TMVA.Types.kTesting)
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for i in range(len(Tbackgrounds)):
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if (Tbackgrounds[i].GetEntries()>0):
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factory.AddBackgroundTree(Tbackgrounds[i], TbScales[i], ROOT.TMVA.Types.kTraining)
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if (Ebackgrounds[i].GetEntries()>0):
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factory.AddBackgroundTree(Ebackgrounds[i], EbScales[i], ROOT.TMVA.Types.kTesting)
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for var in MVA_Vars['Nominal']:
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factory.AddVariable(var,'D') # add the variables
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#Execute TMVA
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factory.SetSignalWeightExpression(weightF)
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factory.SetBackgroundWeightExpression(weightF)
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factory.Verbose()
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factory.BookMethod(MVAtype,MVAname,MVAsettings)
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factory.TrainAllMethods()
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factory.TestAllMethods()
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factory.EvaluateAllMethods()
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output.Write()
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#WRITE INFOFILE
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infofile = open(MVAdir+factoryname+'_'+MVAname+'.info','w')
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info=mvainfo(MVAname)
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info.factoryname=factoryname
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info.factorysettings=factorysettings
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info.MVAtype=MVAtype
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info.MVAsettings=MVAsettings
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info.weightfilepath=MVAdir
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info.path=path
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info.varset=treeVarSet
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info.vars=MVA_Vars['Nominal']
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pickle.dump(info,infofile)
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infofile.close()
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# open the TMVA Gui
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if gui == True:
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ROOT.gROOT.ProcessLine( ".L myutils/TMVAGui.C")
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ROOT.gROOT.ProcessLine( "TMVAGui(\"%s\")" % fnameOutput )
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ROOT.gApplication.Run()
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