DeepLepton:Analysis SW,用于Deeplepton MVA的培训和验证-源码

上传者: 42181693 | 上传时间: 2021-03-04 09:07:30 | 文件大小: 159KB | 文件类型: ZIP
该存储库保存DeepLepton的发行版相关代码,即准备训练数据并评估训练输出。 培训是使用容器完成的,而与发行版无关的代码在。 后者基于 。 入门者应在此处查看培训示例。 DeepLepton元组生产 安装发行相关代码(CMSSW_10_2_18) cmsrel CMSSW_10_2_18 cd CMSSW_10_2_18/src git clone https://github.com/HephyAnalysisSW/DeepLepton git clone https://github.com/HephyAnalysisSW/Samples git clone https://github.com/HephyAnalysisSW/RootTools git clone https://github.com/HephyAnalysisSW/Analysis scram b -j9 安

文件下载

资源详情

[{"title":"( 67 个子文件 159KB ) DeepLepton:Analysis SW,用于Deeplepton MVA的培训和验证-源码","children":[{"title":"DeepLepton-2.0","children":[{"title":"Samples","children":[{"title":".gitignore <span style='color:#111;'> 6B </span>","children":null,"spread":false},{"title":"python","children":[{"title":"__init__.py <span style='color:#111;'> 188B </span>","children":null,"spread":false},{"title":"nanoAOD_PFCands_Summer16.py <span style='color:#111;'> 39.72KB </span>","children":null,"spread":false},{"title":"flat_training_samples.py <span style='color:#111;'> 42.23KB </span>","children":null,"spread":false},{"title":"color.py <span style='color:#111;'> 1.70KB </span>","children":null,"spread":false},{"title":"helpers.py <span style='color:#111;'> 908B </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":".gitignore <span style='color:#111;'> 6B </span>","children":null,"spread":false},{"title":"postprocessing","children":[{"title":"writeVectorBranches.py <span style='color:#111;'> 2.75KB </span>","children":null,"spread":false},{"title":"writeVectorBranches.sh <span style='color:#111;'> 249B </span>","children":null,"spread":false}],"spread":true},{"title":"Tools","children":[{"title":"scripts","children":[{"title":"tdrstyle.C <span style='color:#111;'> 4.68KB </span>","children":null,"spread":false},{"title":"submitBatch.py <span style='color:#111;'> 6.78KB </span>","children":null,"spread":false}],"spread":true},{"title":"python","children":[{"title":"Cache.py <span style='color:#111;'> 632B </span>","children":null,"spread":false},{"title":"objectSelection.py <span style='color:#111;'> 22.87KB </span>","children":null,"spread":false},{"title":"user.py <span style='color:#111;'> 1.07KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 184B </span>","children":null,"spread":false},{"title":"cutInterpreter.py <span style='color:#111;'> 15.33KB </span>","children":null,"spread":false},{"title":"helpers.py <span style='color:#111;'> 11.59KB </span>","children":null,"spread":false},{"title":"logger.py <span style='color:#111;'> 2.24KB </span>","children":null,"spread":false},{"title":"triggerSelector_deepLepton_analysis.py <span style='color:#111;'> 2.98KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"README.md <span style='color:#111;'> 3.56KB </span>","children":null,"spread":false},{"title":"preprocessing","children":[{"title":"step2_mix.py <span style='color:#111;'> 16.19KB </span>","children":null,"spread":false},{"title":"step2_mix.sh <span style='color:#111;'> 621B </span>","children":null,"spread":false},{"title":"old.step3.sh <span style='color:#111;'> 279B </span>","children":null,"spread":false},{"title":"old.step3.py <span style='color:#111;'> 10.65KB </span>","children":null,"spread":false},{"title":"vars.pyc <span style='color:#111;'> 1.76KB </span>","children":null,"spread":false},{"title":"step1_select.sh <span style='color:#111;'> 564B </span>","children":null,"spread":false},{"title":"testfile_step3.py <span style='color:#111;'> 8.17KB </span>","children":null,"spread":false},{"title":"nanTest.py <span style='color:#111;'> 8.29KB </span>","children":null,"spread":false},{"title":"print_filelist.py <span style='color:#111;'> 2.22KB </span>","children":null,"spread":false},{"title":"vars.py <span style='color:#111;'> 2.14KB </span>","children":null,"spread":false},{"title":"step1_select_2016.sh <span style='color:#111;'> 29.51KB </span>","children":null,"spread":false},{"title":"step1_select.py <span style='color:#111;'> 12.15KB </span>","children":null,"spread":false}],"spread":false},{"title":"plots","children":[{"title":"plotsTim","children":[{"title":"analysis","children":[{"title":"analysisPlots_light.py <span style='color:#111;'> 26.82KB </span>","children":null,"spread":false},{"title":"efficiency.py <span style='color:#111;'> 21.91KB </span>","children":null,"spread":false},{"title":"CompressedStops","children":[{"title":"launch_cache.sh <span style='color:#111;'> 294.79KB </span>","children":null,"spread":false},{"title":"make_sh.py <span style='color:#111;'> 1.70KB </span>","children":null,"spread":false},{"title":"make_card.py <span style='color:#111;'> 6.78KB </span>","children":null,"spread":false},{"title":"regions.py <span style='color:#111;'> 2.61KB </span>","children":null,"spread":false},{"title":"signal_events.py <span style='color:#111;'> 2.51KB </span>","children":null,"spread":false},{"title":"cacheRegion.py <span style='color:#111;'> 5.09KB </span>","children":null,"spread":false},{"title":"Region.py <span style='color:#111;'> 3.37KB </span>","children":null,"spread":false},{"title":"README.txt <span style='color:#111;'> 206B </span>","children":null,"spread":false},{"title":"stops_13TeV.py <span style='color:#111;'> 29.46KB </span>","children":null,"spread":false},{"title":"plot_SMS_limit_tim.py <span style='color:#111;'> 12.04KB </span>","children":null,"spread":false},{"title":"filter_efficiencies.py <span style='color:#111;'> 2.19KB </span>","children":null,"spread":false}],"spread":false},{"title":"analysisPlots.sh <span style='color:#111;'> 1.21KB </span>","children":null,"spread":false},{"title":"analysisPlots.py <span style='color:#111;'> 25.73KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"roc","children":[{"title":"roc_ele.sh <span style='color:#111;'> 2.22KB </span>","children":null,"spread":false},{"title":"roc_binnedEff_fixWP_ele.sh <span style='color:#111;'> 2.18KB </span>","children":null,"spread":false},{"title":"roc_binnedEff_fixWP.py <span style='color:#111;'> 15.98KB </span>","children":null,"spread":false},{"title":"roc_DAgm.py <span style='color:#111;'> 15.14KB </span>","children":null,"spread":false},{"title":"roc.sh <span style='color:#111;'> 2.31KB </span>","children":null,"spread":false},{"title":"roc.py <span style='color:#111;'> 13.18KB </span>","children":null,"spread":false},{"title":"roc_DAgm.sh <span style='color:#111;'> 7.99KB </span>","children":null,"spread":false},{"title":"roc_coloredDiscVal.py <span style='color:#111;'> 13.91KB </span>","children":null,"spread":false},{"title":"roc_coloredDiscVal.sh <span style='color:#111;'> 619B </span>","children":null,"spread":false},{"title":"roc_binnedEff_fixWP.sh <span style='color:#111;'> 3.68KB </span>","children":null,"spread":false},{"title":"roc_binnedEff_DAgm.py <span style='color:#111;'> 17.04KB </span>","children":null,"spread":false},{"title":"roc_tim.sh <span style='color:#111;'> 3.77KB </span>","children":null,"spread":false}],"spread":false},{"title":"plotsMax","children":[{"title":"plot.py <span style='color:#111;'> 12.55KB </span>","children":null,"spread":false}],"spread":true},{"title":"full","children":[{"title":"analysisPlots.sh <span style='color:#111;'> 5.89KB </span>","children":null,"spread":false},{"title":"analysisPlots.py <span style='color:#111;'> 24.94KB </span>","children":null,"spread":false}],"spread":true},{"title":"histogram","children":[{"title":"stacked_classes_DAgm.sh <span style='color:#111;'> 3.86KB </span>","children":null,"spread":false},{"title":"stacked_classes.sh <span style='color:#111;'> 4.22KB </span>","children":null,"spread":false},{"title":"stacked_classes.py <span style='color:#111;'> 28.06KB </span>","children":null,"spread":false},{"title":"stacked_classes_DAgm.py <span style='color:#111;'> 29.33KB </span>","children":null,"spread":false},{"title":"stacked_classes_single.py <span style='color:#111;'> 28.15KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明