def method3(train, test, justDeltas=False): "HOW" train_DF = csv2DF(train, toBin=False) test_DF = csv2DF(test) clstr = [node(x, what='centroid') for x in where(data=train_DF)] # set_trace() return HOW(train=train, test=test, trainDF=train_DF, testDF=test_DF, clst=clstr, fsel=True).main(justDeltas=justDeltas)
def method2(train, test, justDeltas=False): "CD+FS" train_DF = csv2DF(train, toBin=False) test_DF = csv2DF(test) clstr = [node(x) for x in where(data=train_DF)] # set_trace() return CD(train=train, test=test, trainDF=train_DF, testDF=test_DF, clst=clstr, fsel=True).main(justDeltas=justDeltas)
def main(self, mode='defect', justDeltas=False):
if mode == "defect":
train_DF = csv2DF(self.train)
test_DF = csv2DF(self.train)
before = rforest(train=train_DF, test=test_DF)
clstr = [node(c) for c in where(data=train_DF)]
return patches(train=self.train,
test=self.test,
clusters=clstr,
prune=self.prune,
pred=before).newTable(justDeltas=justDeltas)
def method3(train, test, justDeltas=False):
"HOW"
train_DF = csv2DF(train, toBin=False)
test_DF = csv2DF(test)
clstr = [node(x, what='centroid') for x in where(data=train_DF)]
# set_trace()
return HOW(train=train,
test=test,
trainDF=train_DF,
testDF=test_DF,
clst=clstr,
fsel=True).main(justDeltas=justDeltas)
def method2(train, test, justDeltas=False):
"CD+FS"
train_DF = csv2DF(train, toBin=False)
test_DF = csv2DF(test)
clstr = [node(x) for x in where(data=train_DF)]
# set_trace()
return CD(train=train,
test=test,
trainDF=train_DF,
testDF=test_DF,
clst=clstr,
fsel=True).main(justDeltas=justDeltas)