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bst: Gradient Boosting
Functional gradient descent algorithm for a variety of convex and non-convex loss functions, for both classical and robust regression and classification problems. See Wang (2011) <doi:10.2202/1557-4679.1304>, Wang (2012) <doi:10.3414/ME11-02-0020>, Wang (2018) <doi:10.1080/10618600.2018.1424635>, Wang (2018) <doi:10.1214/18-EJS1404>.
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Cancer Classification Using Mass Spectrometry-based Proteomics Data
Classification of Breast Cancer Clinical Stage with Gene Expression Data (without Results)
Classification of Cancer Types Using Gene Expression Data (without Results)
Classification of UCI Machine Learning Datasets (without Results)
Browse package contents
Package details |
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| Author | Zhu Wang [aut, cre] (<https://orcid.org/0000-0002-0773-0052>), Torsten Hothorn [ctb] |
| Maintainer | Zhu Wang <zwang145@uthsc.edu> |
| License | GPL (>= 2) |
| Version | 0.3-24 |
| Package repository | View on CRAN |
| Installation |
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