def testEstimateRankingCorrelation():
print('====> Testing estimateRankingCorrelation')
MP = True
nbrActions = 1000
tp = Random3ObjectivesPerformanceTableau(numberOfActions=nbrActions,
seed=100)
bg1 = PreRankedOutrankingDigraph(
tp,
CopyPerfTab=True,
quantiles=4,
quantilesOrderingStrategy='optimal',
componentRankingRule='NetFlows',
LowerClosed=True,
minimalComponentSize=1,
Threading=MP,
nbrOfCPUs=8,
#tempDir='.',
nbrOfThreads=8,
Comments=True,
Debug=False,
save2File='testbgMP')
seed = 1
sampleSize = 100
import random
random.seed(seed)
actionKeys = [x for x in bg1.actions]
sample = random.sample(actionKeys, sampleSize)
print(sample)
print(bg1.boostedRanking)
preRankedSample = []
for x in bg1.boostedRanking:
if x in sample:
preRankedSample.append(x)
print(preRankedSample)
ptp = PartialPerformanceTableau(tp, sample)
from outrankingDigraphs import BipolarOutrankingDigraph
pg = BipolarOutrankingDigraph(ptp, Normalized=True)
print(pg.computeRankingCorrelation(preRankedSample))
print(bg1.estimateRankingCorrelation(sampleSize, seed))
