Balsa: A Fast C++ Random Forest Classifier with Command-line and Python Interface

Zenodo (CERN European Organization for Nuclear Research)

Abstract

Balsa v1.0.0 First tagged release of Balsa, archived on Zenodo to accompany the associated paper. Summary Balsa is a high-performance, open-source C++ implementation of the Random Forest classifier, designed with runtime efficiency and memory optimization as core design priorities. The implementation follows the modern C++17 standard and a complete API documentation is provided with the package. Changes in this release Addressed reviewer comments from the manuscript review process License BSD-3-Clause

Authors 5

1. Tobias Borsdorff Aachen SRON Space Research Organization Netherlands

   Space Research Organisation Netherlands

   Affiliation as printed

   SRON Space Research Organization Netherlands

2. Denis de Leeuw Duarte
   Affiliation as printed

   Jigsaw B.V., The Netherlands

3. Joris van Zwieten
   Affiliation as printed

   Jigsaw B.V., The Netherlands

4. S. Mandal Aachen SRON Space Research Organization Netherlands

   Space Research Organisation Netherlands

   Affiliation as printed

   SRON Space Research Organization Netherlands

5. Jochen Landgraf Aachen SRON Space Research Organization Netherlands

   Space Research Organisation Netherlands

   Affiliation as printed

   SRON Space Research Organization Netherlands