Python RegressionParametricJobLauncher.addCuts Examples

Programming Language: Python

Namespace/Package Name: RegressionParametricJobLauncher

Class/Type: RegressionParametricJobLauncher

Method/Function: addCuts

Examples at hotexamples.com: 2

Python RegressionParametricJobLauncher.addCuts - 2 examples found. These are the top rated real world Python examples of RegressionParametricJobLauncher.RegressionParametricJobLauncher.addCuts extracted from open source projects. You can rate examples to help us improve the quality of examples.

Frequently Used Methods

Show Hide

RegressionParametricJobLauncher(1)

addCuts(1)

addRegression(1)

addVariablesEB(1)

addVariablesEE(1)

Example #1

Show file

File: GBRLikelihood_StudyClustering_Electrons_MoreVariables_Pt5-300_bx50_weighted_746_PROD.py Project: michelif/RegressionTraining

    "PFMustache_RegPs1": ["scPreshowerEnergy/scRawEnergy"],
    "GedGsfElectron_RegPs2": [
        "scPreshowerEnergyPlane1/scRawEnergy",
        "scPreshowerEnergyPlane2/scRawEnergy"
    ],
    "PFMustache_RegPs2": [
        "scPreshowerEnergyPlane1/scRawEnergy",
        "scPreshowerEnergyPlane2/scRawEnergy"
    ],
}

clusterings = [
    ("PFMustache_RegPs1", "mustacheSCTree/SuperClusterTree"),
    ("GedGsfElectron_RegPs1", "gedGsfElectronTree/RegressionTree"),
    ("PFMustache_RegPs2", "mustacheSCTree/SuperClusterTree"),
    ("GedGsfElectron_RegPs2", "gedGsfElectronTree/RegressionTree"),
]

for tagClustering, treeClustering in clusterings:
    # define regressions
    batch.addRegression(tagClustering)
    batch.setInputTree(tagClustering, treeClustering)
    #batch.addVariablesEB(tagClustering, specificVariables[tagClustering], float)
    batch.addVariablesEE(tagClustering, specificVariablesEE[tagClustering])
    batch.addCuts(tagClustering, specificCuts[tagClustering])
    batch.doCombination(tagClustering, doCombine[tagClustering])

#batch.simulate = True

batch.info = info

Example #2

Show file

File: GBRLikelihood_StudyClustering_Electrons_MoreVariables_Pt5-300_bx50_weighted_746_PROD.py Project: jbsauvan/RegressionTraining

specificVariablesEE = {
    "GedGsfElectron_RegPs1":["scPreshowerEnergy/scRawEnergy"],
    "PFMustache_RegPs1":["scPreshowerEnergy/scRawEnergy"],
    "GedGsfElectron_RegPs2":["scPreshowerEnergyPlane1/scRawEnergy","scPreshowerEnergyPlane2/scRawEnergy"],
    "PFMustache_RegPs2":["scPreshowerEnergyPlane1/scRawEnergy","scPreshowerEnergyPlane2/scRawEnergy"],
}



clusterings = [
    ("PFMustache_RegPs1","mustacheSCTree/SuperClusterTree"),
    ("GedGsfElectron_RegPs1","gedGsfElectronTree/RegressionTree"),
    ("PFMustache_RegPs2","mustacheSCTree/SuperClusterTree"),
    ("GedGsfElectron_RegPs2","gedGsfElectronTree/RegressionTree"),
]

for tagClustering,treeClustering in clusterings:
    # define regressions
    batch.addRegression(tagClustering)
    batch.setInputTree(tagClustering, treeClustering)
    #batch.addVariablesEB(tagClustering, specificVariables[tagClustering], float)
    batch.addVariablesEE(tagClustering, specificVariablesEE[tagClustering])
    batch.addCuts(tagClustering, specificCuts[tagClustering])
    batch.doCombination(tagClustering, doCombine[tagClustering])

#batch.simulate = True

batch.info = info