SPlit: Split a Dataset for Training and Testing
Procedure to optimally split a dataset for training and testing.
'SPlit' is based on the method of support points, which is independent of modeling methods.
Please see Joseph and Vakayil (2021) <doi:10.1080/00401706.2021.1921037> for details.
This work is supported by U.S. National Science Foundation grant DMREF-1921873.
| Version: |
1.2 |
| Imports: |
Rcpp (≥ 1.0.4) |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Published: |
2022-03-22 |
| Author: |
Akhil Vakayil [aut, cre],
Roshan Joseph [aut, ths],
Simon Mak [aut] |
| Maintainer: |
Akhil Vakayil <akhilv at gatech.edu> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| CRAN checks: |
SPlit results |
Documentation:
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