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An implementation of hyperparameter optimization for Gradient Boosted Trees on binary classification and regression problems. The current version provides two optimization methods: Bayesian optimization and random search. Instead of giving the single best model, the final output is an ensemble of Gradient Boosted Trees constructed via the method of ensemble selection.
Package details |
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Author | Waley W. J. Liang |
Maintainer | Waley W. J. Liang <wliang10@gmail.com> |
License | GPL (>= 2) | file LICENSE |
Version | 1.2.0 |
Package repository | View on CRAN |
Installation |
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