ActSNClass: Active learning for supernova photometric classification
Abstract
ActSNClass uses a parametric feature extraction method, Random Forest classifier and two learning strategies (uncertainty sampling and random sampling) to performs active learning for supernova photometric classification.
- Publication:
-
Astrophysics Source Code Library
- Pub Date:
- August 2019
- Bibcode:
- 2019ascl.soft08003I
- Keywords:
-
- Software