Package: sboost 0.1.2

sboost: Machine Learning with AdaBoost on Decision Stumps

Creates classifier for binary outcomes using Adaptive Boosting (AdaBoost) algorithm on decision stumps with a fast C++ implementation. For a description of AdaBoost, see Freund and Schapire (1997) <doi:10.1006/jcss.1997.1504>. This type of classifier is nonlinear, but easy to interpret and visualize. Feature vectors may be a combination of continuous (numeric) and categorical (string, factor) elements. Methods for classifier assessment, predictions, and cross-validation also included.

Authors:Jadon Wagstaff [aut, cre]

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sboost/json (API)
NEWS

Peer review:

Bug tracker:https://github.com/jadonwagstaff/sboost/issues

On CRAN:

3 exports 2 stars 0.83 score 17 dependencies 6 scripts 161 downloads

Last updated 2 years agofrom:aee4038080. Checks:OK: 9. Indexed: yes.

Exports:assesssboostvalidate

Dependencies:clidplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigR6Rcpprlangtibbletidyselectutf8vctrswithr