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[R] various R code maintenance (#1964)

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* [R] xgb.save must work when handle in nil but raw exists

* [R] print.xgb.Booster should still print other info when handle is nil

* [R] rename internal function xgb.Booster to xgb.Booster.handle to make its intent clear

* [R] rename xgb.Booster.check to xgb.Booster.complete and make it visible; more docs

* [R] storing evaluation_log should depend only on watchlist, not on verbose

* [R] reduce the excessive chattiness of unit tests

* [R] only disable some tests in windows when it's not 64-bit

* [R] clean-up xgb.DMatrix

* [R] test xgb.DMatrix loading from libsvm text file

* [R] store feature_names in xgb.Booster, use them from utility functions

* [R] remove non-functional co-occurence computation from xgb.importance

* [R] verbose=0 is enough without a callback

* [R] added forgotten xgb.Booster.complete.Rd; cran check fixes

* [R] update installation instructions
This commit is contained in:
Vadim Khotilovich
2017-01-21 13:22:46 -06:00
committed by Tianqi Chen
parent a073a2c3d4
commit 2b5b96d760
27 changed files with 561 additions and 327 deletions
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19
R-package/man/xgb.save.Rd
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@@ -7,12 +7,22 @@
xgb.save(model, fname)
}
\arguments{
\item{model}{the model object.}
\item{model}{model object of \code{xgb.Booster} class.}
\item{fname}{the name of the file to write.}
\item{fname}{name of the file to write.}
}
\description{
Save xgboost model from xgboost or xgb.train
Save xgboost model to a file in binary format.
}
\details{
This methods allows to save a model in an xgboost-internal binary format which is universal
among the various xgboost interfaces. In R, the saved model file could be read-in later
using either the \code{\link{xgb.load}} function or the \code{xgb_model} parameter
of \code{\link{xgb.train}}.
Note: a model can also be saved as an R-object (e.g., by using \code{\link[base]{readRDS}}
or \code{\link[base]{save}}). However, it would then only be compatible with R, and
corresponding R-methods would need to be used to load it.
}
\examples{
data(agaricus.train, package='xgboost')
@@ -25,4 +35,7 @@ xgb.save(bst, 'xgb.model')
bst <- xgb.load('xgb.model')
pred <- predict(bst, test$data)
}
\seealso{
\code{\link{xgb.load}}, \code{\link{xgb.Booster.complete}}.
}