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

3
R-package/man/xgb.train.Rd
View File

@@ -187,9 +187,6 @@ An object of class \code{xgb.Booster} with the following elements:
explicitly passed.
\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_score} the best evaluation metric value during early stopping.
(only available with early stopping).
\item \code{feature_names} names of the training dataset features