fixed typos in R package docs (#4345)
* fixed typos in R package docs * updated verbosity parameter in xgb.train docs
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@@ -11,11 +11,11 @@ cb.cv.predict(save_models = FALSE)
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}
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\value{
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Predictions are returned inside of the \code{pred} element, which is either a vector or a matrix,
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depending on the number of prediction outputs per data row. The order of predictions corresponds
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to the order of rows in the original dataset. Note that when a custom \code{folds} list is
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provided in \code{xgb.cv}, the predictions would only be returned properly when this list is a
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non-overlapping list of k sets of indices, as in a standard k-fold CV. The predictions would not be
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meaningful when user-profided folds have overlapping indices as in, e.g., random sampling splits.
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depending on the number of prediction outputs per data row. The order of predictions corresponds
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to the order of rows in the original dataset. Note that when a custom \code{folds} list is
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provided in \code{xgb.cv}, the predictions would only be returned properly when this list is a
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non-overlapping list of k sets of indices, as in a standard k-fold CV. The predictions would not be
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meaningful when user-provided folds have overlapping indices as in, e.g., random sampling splits.
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When some of the indices in the training dataset are not included into user-provided \code{folds},
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their prediction value would be \code{NA}.
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}
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