2 params = cms.untracked.PSet(
3 MLThreshold = cms.untracked.double(MLThreshold),
4 PUcorr_slope = cms.untracked.double(PUcorr_slope),
5 PUcorr_intercept = cms.untracked.double(PUcorr_intercept),
6 avgOcc = cms.untracked.vdouble(avgOcc)
8 sources = cms.untracked.PSet(
9 DigiAllByLumi = ecalOccupancyTask.MEs.DigiAllByLumi,
10 AELoss = ecalOccupancyTask.MEs.AELoss,
11 PU = ecalOccupancyTask.MEs.PU,
12 NumEvents = ecalOccupancyTask.MEs.NEvents
14 MEs = cms.untracked.PSet(
15 MLQualitySummary = cms.untracked.PSet(
16 path = cms.untracked.string(
'%(subdet)s/%(prefix)sSummaryClient/%(prefix)sOT%(suffix)s ML quality summary'),
17 kind = cms.untracked.string(
'TH2F'),
18 otype = cms.untracked.string(
'Ecal3P'),
19 btype = cms.untracked.string(
'SuperCrystal'),
20 description = cms.untracked.string(
'Quality summary from the ML inference.')
22 EventsperMLImage = cms.untracked.PSet(
23 path = cms.untracked.string(
'Ecal/Trends/Number of Events used per ML image'),
24 kind = cms.untracked.string(
'TProfile'),
25 otype = cms.untracked.string(
'Ecal2P'),
26 btype = cms.untracked.string(
'Trend'),
27 description = cms.untracked.string(
'Trend of the number of events in an image fed into the ML model')