* [R] better argument check in xgb.DMatrix; fixes #1480 * [R] showsd was a dummy; fixes #2044 * [R] better categorical encoding explanation in vignette; fixes #1989 * [R] new roxygen version docs update
44 lines
1.7 KiB
R
44 lines
1.7 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/callbacks.R
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\name{cb.cv.predict}
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\alias{cb.cv.predict}
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\title{Callback closure for returning cross-validation based predictions.}
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\usage{
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cb.cv.predict(save_models = FALSE)
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}
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\arguments{
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\item{save_models}{a flag for whether to save the folds' models.}
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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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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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\description{
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Callback closure for returning cross-validation based predictions.
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}
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\details{
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This callback function saves predictions for all of the test folds,
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and also allows to save the folds' models.
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It is a "finalizer" callback and it uses early stopping information whenever it is available,
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thus it must be run after the early stopping callback if the early stopping is used.
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Callback function expects the following values to be set in its calling frame:
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\code{bst_folds},
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\code{basket},
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\code{data},
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\code{end_iteration},
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\code{params},
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\code{num_parallel_tree},
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\code{num_class}.
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}
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\seealso{
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\code{\link{callbacks}}
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}
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