def run(self,prbCrFile,prbCpFile,wd,trf,tpf,rJf,pJf,totalTestInstances,cMatrix):
prCr=cPickle.load(open(prbCrFile,'rb'))
prCp=cPickle.load(open(prbCpFile,'rb'))
prCrRanked=self.RankByProbability(prCr,"DEC")
prCpRanked=self.RankByProbability(prCp,"DEC")
Tau_r=self.get_tauR(trf)
docids2Annotatep2=[]
for docID,probVal in prCrRanked.items():
if not Tau_r==0:
docids2Annotatep2.append(docID)
Tau_r=Tau_r-1
cPickle.dump(docids2Annotatep2,open(wd+'/docs4map2RRBaseline.list.'+str(totalTestInstances)+'.p', 'wb'))
p2=phase2()
p2.cmv=cMatrix
p2.runphase2(prbCrFile,prbCpFile,rJf,wd,totalTestInstances,self.get_tauR(trf),BaselineType='RR')
Tau_p=self.get_tauP(tpf)
docids2Annotatep3=[]
for doID,pVal in prCpRanked.items():
if not Tau_p==0:
docids2Annotatep3.append(doID)
Tau_p=Tau_p-1
cPickle.dump(docids2Annotatep3,open(wd+'/docs4map3RRBaseline.list.'+str(totalTestInstances)+'.p', 'wb'))
p3=phase3()
p3.cmv=cMatrix
p3.runphase3(prbCpFile,pJf,wd,totalTestInstances,self.get_tauP(tpf),BaselineType='RR')
c_a=self.ComputeManualAnnotationCost(self.get_tauR(trf),self.get_tauP(tpf))
print "Annotation Cost= ",c_a
c_m=self.ComputeMisclassificationCost(wd,rJf,pJf,totalTestInstances,cMatrix)
print "Misclassification Cost= ",c_m
print "RESULTVALUE ",c_m
print "Ending Relevance Ranking Baseline Model "
def main(argv):
try:
p2 = phase2()
wd = argv[
0] # Joint Cost Model's Working Directory (Resp and Priv Category )
workDirResponsive = argv[1] # Responsive Category Working Directory '
workDirPrivilege = argv[2] # Privilege Category Working Directory '
numTestInstances = argv[3]
rJFile = argv[4]
cMatrix = cm()
cMatrix.setCostMatrix(float(argv[5]), float(argv[6]), float(argv[7]),
float(argv[8]), float(argv[9]), float(argv[10]))
cMatrix.setAlpha(float(argv[11]))
cmv = cMatrix.getCostMatrix()
lamR = cMatrix.getLam_r()
p2.computeExpectation(
wd, numTestInstances, cmv, lamR,
workDirResponsive + '/pickleFiles/ds-op-label.tuple.dictionary.' +
str(numTestInstances) + '.p',
workDirPrivilege + '/pickleFiles/ds-op-label.tuple.dictionary.' +
str(numTestInstances) + '.p')
tau_rValue = p2.runphase2(
workDirResponsive + '/pickleFiles/ds-op-label.tuple.dictionary.' +
str(numTestInstances) + '.p',
workDirPrivilege + '/pickleFiles/ds-op-label.tuple.dictionary.' +
str(numTestInstances) + '.p', rJFile, wd, numTestInstances, 0)
except:
raise
def p2caller(pl, pw, lp, lw, wp, wl, alpha, lambda_R):
try:
costMatrix = cm()
costMatrix.setCostMatrix(float(pl), float(pw), float(lp), float(lw),
float(wp), float(wl))
costMatrix.setAlpha(float(alpha.strip()))
cmvalue = costMatrix.getCostMatrix()
lamR = lambda_R
p2 = phase2()
twd = '/app/data'
p2.computeExpectation(
twd, 20000, cmvalue, lamR,
twd + '/GPOL-ds-op-label.tuple.dictionary.20000.p',
twd + '/ECAT-ds-op-label.tuple.dictionary.20000.p')
Tau_rValue = p2.runphase2(
twd + '/GPOL-ds-op-label.tuple.dictionary.20000.p',
twd + '/ECAT-ds-op-label.tuple.dictionary.20000.p',
twd + '/rcv1_GPOL.txt', twd, 20000, 0)
return Tau_rValue
except:
raise