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[ascl:1908.003] ActSNClass: Active learning for supernova photometric classification

Ishida, Emille E.O.; COIN Residence Program #4 team

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.

Code site:: https://github.com/COINtoolbox/ActSNClass
Described in:: https://ui.adsabs.harvard.edu/abs/2019MNRAS.483....2I

Bibcode:: 2019ascl.soft08003I

Preferred citation method:

https://ui.adsabs.harvard.edu/abs/2019MNRAS.483....2I

Explain these fields?

ascl:1908.003
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