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Fix for CRAN Submission (#1826)

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* fix cran check

* change required R version because of utils::globalVariables

* temporary commit, monotone not working

* fix test

* fix doc

* fix doc

* fix cran note and warning

* improve checks

* fix urls
This commit is contained in:
Tong He
2016-12-02 20:19:03 -08:00
committed by Tianqi Chen
parent 27ca50e2c2
commit 2f3958a455
15 changed files with 40 additions and 26 deletions
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4
R-package/man/predict.xgb.Booster.Rd
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@@ -46,8 +46,8 @@ number of columns corresponding to the number of trees.
Predicted values based on either xgboost model or model handle object.
}
\details{
Note that \code{ntreelimit} is not necesserily equal to the number of boosting iterations
and it is not necesserily equal to the number of trees in a model.
Note that \code{ntreelimit} is not necessarily equal to the number of boosting iterations
and it is not necessarily equal to the number of trees in a model.
E.g., in a random forest-like model, \code{ntreelimit} would limit the number of trees.
But for multiclass classification, there are multiple trees per iteration,
but \code{ntreelimit} limits the number of boosting iterations.