3 Multiplex a cut on a PATTauDiscriminator using another PATTauDiscriminator as the 6 Used by the anti-electron MVA, which needs to choose what cut to apply on the 7 MVA output depending on what the category is. 11 import FWCore.ParameterSet.Config
as cms
13 patTauDiscriminantCutMultiplexer = cms.EDProducer(
14 "PATTauDiscriminantCutMultiplexer",
15 PATTauProducer = cms.InputTag(
"fixme"),
16 toMultiplex = cms.InputTag(
"fixme"),
17 Prediscriminants = cms.PSet(
18 BooleanOperator = cms.string(
"and"),
20 Producer = cms.InputTag(
"fixme"),
24 loadMVAfromDB = cms.bool(
True),
25 inputFileName = cms.FileInPath(
"RecoTauTag/RecoTau/data/emptyMVAinputFile"),
26 mvaOutput_normalization = cms.string(
""),
32 category = cms.uint32(0),
33 cut = cms.double(0.5),
36 category = cms.uint32(1),
37 cut = cms.double(0.2),
40 workingPoints = cms.vstring(),
41 verbosity = cms.int32(0)