Closed brooksambrose closed 9 years ago
Yes, I have a pull request open to add a SL.nnls
wrapper to the SuperLearner package, but it has not been merged yet. For now, you can copy-paste the SL.nnls
wrapper from here. This will be included in the next version of the SuperLearner package.
Once you have the SL.nnls
and predict.SL.nnls
functions sourced, you just specify the NNLS metalearner as a string, like usual: metalearner = "SL.nnls"
.
Is non negative least squares available as a metalearner in subsemble?