Skip to content

Latest commit

 

History

History
9 lines (6 loc) · 346 Bytes

README.md

File metadata and controls

9 lines (6 loc) · 346 Bytes

MLCorner

Collection of scripts and tricks to make Machine Learning for UHH2-based analyses a bit easier.

Workflow

  • input: hadded root files after baseline selection (with analysis tree)
  • convert the input to numpy arrays using the script MLCorner/InputsPreparation/UHH2toNumpy/steer.py
  • use this output as input for the DNN training