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Release for general use! v1.4.1

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@a-kapoor a-kapoor released this 27 Jul 18:27
· 1 commit to master since this release
cc8e65c
Currently supports  
Binary-classification (currently using XGBoost and DNN) Examples: DY vs ttbar, DY prompt vs DY fake, good electrons vs bad electrons
Multi-sample classification (currently using XGBoost and DNN) Examples: DY vs (ttbar and QCD)
Multi-class classification (currently using XGBoost and DNN) Examples: DY vs ttbar vs QCD, good photons vs bad photons vs very bad photons