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A fix for CRAN submission of version 0.7-0 (#3061)

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* modify test_helper.R

* fix noLD

* update desc

* fix solaris test

* fix desc

* improve fix

* fix url
This commit is contained in:
Tong He
2018-01-27 17:06:28 -08:00
committed by GitHub
parent c88bae112e
commit 98be9aef9a
6 changed files with 34 additions and 25 deletions
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R-package/man/xgb.train.Rd
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@@ -179,7 +179,7 @@ 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{http://wiki.fast.ai/index.php/Log_Loss}
\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."