v0.0.1
·
216 commits
to master
since this release
First release of MachineLearningHEP
This package is used to conduct HEP analyses. Starting from flat root candidate trees it produces final results incorporating ML techniques to optimise the physics analyses. Training, testing and optimisation of the ML algorithms used is included in the package workflow:
- (pre-)processing and preparing data
- ML training, testing and optimisation
- conduct physics analyses