Hendrik/xgboost
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

[R] Use new predict function. (#6819)

Browse Source 
* Call new C prediction API.
* Add `strict_shape`.
* Add `iterationrange`.
* Update document.
This commit is contained in:
Jiaming Yuan
2021-06-11 13:03:29 +08:00
committed by GitHub
parent 25514e104a
commit b56614e9b8
18 changed files with 293 additions and 160 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
R-package/man/xgb.cv.Rd
View File

@@ -135,9 +135,7 @@ An object of class \code{xgb.cv.synchronous} with the following elements:
parameter or randomly generated.
\item \code{best_iteration} iteration number with the best evaluation metric value
(only available with early stopping).
\item \code{best_ntreelimit} the \code{ntreelimit} value corresponding to the best iteration,
which could further be used in \code{predict} method
(only available with early stopping).
\item \code{best_ntreelimit} and the \code{ntreelimit} Deprecated attributes, use \code{best_iteration} instead.
\item \code{pred} CV prediction values available when \code{prediction} is set.
It is either vector or matrix (see \code{\link{cb.cv.predict}}).
\item \code{models} a list of the CV folds' models. It is only available with the explicit