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[R] Fix for cran submission of xgboost 0.6 (#1875)

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fix cran check
This commit is contained in:
Tong He
2016-12-15 12:04:54 -08:00
committed by GitHub
parent d943720883
commit 674024c53a
6 changed files with 7 additions and 7 deletions
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R-package/man/xgb.train.Rd
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@@ -174,7 +174,7 @@ The folloiwing is the list of built-in metrics for which Xgboost provides optimi
\itemize{
\item \code{rmse} root mean square error. \url{http://en.wikipedia.org/wiki/Root_mean_square_error}
\item \code{logloss} negative log-likelihood. \url{http://en.wikipedia.org/wiki/Log-likelihood}
\item \code{mlogloss} multiclass logloss. \url{https://www.kaggle.com/wiki/MultiClassLogLoss}
\item \code{mlogloss} multiclass logloss. \url{https://www.kaggle.com/wiki/MultiClassLogLoss/}
\item \code{error} Binary classification error rate. It is calculated as \code{(# wrong cases) / (# all cases)}.
By default, it uses the 0.5 threshold for predicted values to define negative and positive instances.
Different threshold (e.g., 0.) could be specified as "error@0."