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

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* 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
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3
R-package/man/cb.early.stop.Rd
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@@ -38,10 +38,7 @@ The following additional fields are assigned to the model's R object:
\itemize{
\item \code{best_score} the evaluation score at the best iteration
\item \code{best_iteration} at which boosting iteration the best score has occurred (1-based index)
\item \code{best_ntreelimit} to use with the \code{ntreelimit} parameter in \code{predict}.
It differs from \code{best_iteration} in multiclass or random forest settings.
}
The Same values are also stored as xgb-attributes:
\itemize{
\item \code{best_iteration} is stored as a 0-based iteration index (for interoperability of binary models)