Machine Learning Developments in ROOT
Abstract
ROOT is a software framework for large-scale data analysis that provides basic and advanced statistical methods used by high-energy physics experiments. It includes machine learning tools from the ROOT-integrated Toolkit for Multivariate Analysis (TMVA). We present several recent developments in TMVA, including a new modular design, new algorithms for pre-processing, cross-validation, hyperparameter-tuning, deep-learning and interfaces to other machine-learning software packages. TMVA is additionally integrated with Jupyter, making it accessible with a browser.
- Publication:
-
Journal of Physics Conference Series
- Pub Date:
- October 2017
- DOI:
- 10.1088/1742-6596/898/7/072046
- Bibcode:
- 2017JPhCS.898g2046B