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2 changes: 1 addition & 1 deletion R/ensemble/README.md
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# H2O Ensemble (beta)

The `h2oEnsemble` R package provides functionality to create ensembles from the base learning algorithms that are accessible via the `h2o` R package. This type of ensemble learning is called "super learning", "stacked regression" or "stacking." The Super Learner algorithm learns the optimal combination of the base learner fits. In a 2007 article titled, "[Super Learner](http://dx.doi.org/10.2202/1544-6115.1309)," it was shown that the super learner ensemble represents an asymptotically optimal system for learning.
The `h2oEnsemble` R package provides functionality to create ensembles from the base learning algorithms that are accessible via the `h2o` R package. This type of ensemble learning is called "super learning", "stacked regression" or "stacking." The Super Learner algorithm learns the optimal combination of the base learner fits. In a 2007 article titled, "[Super Learner](https://doi.org/10.2202/1544-6115.1309)," it was shown that the super learner ensemble represents an asymptotically optimal system for learning.


## Install
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4 changes: 2 additions & 2 deletions R/ensemble/h2oEnsemble-package/man/h2o.ensemble.Rd
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Expand Up @@ -85,11 +85,11 @@ A list of runtimes for various steps of the algorithm. The list contains \code{
}
\references{
van der Laan, M. J., Polley, E. C. and Hubbard, A. E. (2007) Super Learner, Statistical Applications of Genetics and Molecular Biology, 6, article 25. \cr
\url{http://dx.doi.org/10.2202/1544-6115.1309}\cr
\url{https://doi.org/10.2202/1544-6115.1309}\cr
\url{http://biostats.bepress.com/ucbbiostat/paper222}\cr
\cr
Breiman, L. (1996) Stacked Regressions, Machine Learning, 24:49–64.\cr
\url{http://dx.doi.org/10.1007/BF00117832}\cr
\url{https://doi.org/10.1007/BF00117832}\cr
\url{http://statistics.berkeley.edu/sites/default/files/tech-reports/367.pdf}
}
\author{
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4 changes: 2 additions & 2 deletions R/ensemble/h2oEnsemble-package/man/h2oEnsemble-package.Rd
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Expand Up @@ -24,11 +24,11 @@ Maintainer: Erin LeDell <ledell@berkeley.edu>
}
\references{
van der Laan, M. J., Polley, E. C. and Hubbard, A. E. (2007) Super Learner, Statistical Applications of Genetics and Molecular Biology, 6, article 25. \cr
\url{http://dx.doi.org/10.2202/1544-6115.1309}\cr
\url{https://doi.org/10.2202/1544-6115.1309}\cr
\url{http://biostats.bepress.com/ucbbiostat/paper222}\cr
\cr
Breiman, L. (1996) Stacked Regressions, Machine Learning, 24:49–64.\cr
\url{http://dx.doi.org/10.1007/BF00117832}\cr
\url{https://doi.org/10.1007/BF00117832}\cr
\url{http://statistics.berkeley.edu/sites/default/files/tech-reports/367.pdf}
}

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