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fixed typos in R package docs (#4345)

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* fixed typos in R package docs

* updated verbosity parameter in xgb.train docs
This commit is contained in:
James Lamb
2019-04-21 02:54:11 -05:00
committed by Jiaming Yuan
parent 65db8d0626
commit 5e97de6a41
30 changed files with 414 additions and 413 deletions
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R-package/man/predict.xgb.Booster.Rd
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@@ -91,7 +91,7 @@ in \url{http://blog.datadive.net/interpreting-random-forests/}.
With \code{predinteraction = TRUE}, SHAP values of contributions of interaction of each pair of features
are computed. Note that this operation might be rather expensive in terms of compute and memory.
Since it quadratically depends on the number of features, it is recommended to perfom selection
Since it quadratically depends on the number of features, it is recommended to perform selection
of the most important features first. See below about the format of the returned results.
}
\examples{