[R] R raw serialization. (#5123)
* Add bindings for serialization. * Change `xgb.save.raw' into full serialization instead of simple model. * Add `xgb.load.raw' for unserialization. * Run devtools.
This commit is contained in:
@@ -4,8 +4,10 @@
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\name{agaricus.test}
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\alias{agaricus.test}
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\title{Test part from Mushroom Data Set}
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\format{A list containing a label vector, and a dgCMatrix object with 1611
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rows and 126 variables}
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\format{
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A list containing a label vector, and a dgCMatrix object with 1611
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rows and 126 variables
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}
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\usage{
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data(agaricus.test)
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}
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@@ -4,8 +4,10 @@
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\name{agaricus.train}
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\alias{agaricus.train}
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\title{Training part from Mushroom Data Set}
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\format{A list containing a label vector, and a dgCMatrix object with 6513
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rows and 127 variables}
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\format{
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A list containing a label vector, and a dgCMatrix object with 6513
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rows and 127 variables
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}
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\usage{
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data(agaricus.train)
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}
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@@ -55,7 +55,7 @@ than for \code{xgb.Booster}, since only just a handle (pointer) would need to be
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That would only matter if attributes need to be set many times.
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Note, however, that when feeding a handle of an \code{xgb.Booster} object to the attribute setters,
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the raw model cache of an \code{xgb.Booster} object would not be automatically updated,
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and it would be user's responsibility to call \code{xgb.save.raw} to update it.
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and it would be user's responsibility to call \code{xgb.serialize} to update it.
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The \code{xgb.attributes<-} setter either updates the existing or adds one or several attributes,
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but it doesn't delete the other existing attributes.
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@@ -135,7 +135,7 @@ An object of class \code{xgb.cv.synchronous} with the following elements:
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(only available with early stopping).
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\item \code{pred} CV prediction values available when \code{prediction} is set.
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It is either vector or matrix (see \code{\link{cb.cv.predict}}).
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\item \code{models} a liost of the CV folds' models. It is only available with the explicit
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\item \code{models} a list of the CV folds' models. It is only available with the explicit
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setting of the \code{cb.cv.predict(save_models = TRUE)} callback.
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}
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}
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14
R-package/man/xgb.load.raw.Rd
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14
R-package/man/xgb.load.raw.Rd
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@@ -0,0 +1,14 @@
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/xgb.load.raw.R
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\name{xgb.load.raw}
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\alias{xgb.load.raw}
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\title{Load serialised xgboost model from R's raw vector}
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\usage{
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xgb.load.raw(buffer)
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}
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\arguments{
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\item{buffer}{the buffer returned by xgb.save.raw}
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}
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\description{
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User can generate raw memory buffer by calling xgb.save.raw
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}
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@@ -3,7 +3,7 @@
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\name{xgb.save.raw}
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\alias{xgb.save.raw}
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\title{Save xgboost model to R's raw vector,
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user can call xgb.load to load the model back from raw vector}
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user can call xgb.load.raw to load the model back from raw vector}
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\usage{
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xgb.save.raw(model)
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}
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@@ -18,10 +18,10 @@ data(agaricus.train, package='xgboost')
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data(agaricus.test, package='xgboost')
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train <- agaricus.train
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test <- agaricus.test
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bst <- xgboost(data = train$data, label = train$label, max_depth = 2,
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bst <- xgboost(data = train$data, label = train$label, max_depth = 2,
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eta = 1, nthread = 2, nrounds = 2,objective = "binary:logistic")
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raw <- xgb.save.raw(bst)
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bst <- xgb.load(raw)
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bst <- xgb.load.raw(raw)
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pred <- predict(bst, test$data)
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}
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29
R-package/man/xgb.serialize.Rd
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29
R-package/man/xgb.serialize.Rd
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/xgb.serialize.R
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\name{xgb.serialize}
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\alias{xgb.serialize}
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\title{Serialize the booster instance into R's raw vector. The serialization method differs
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from \code{\link{xgb.save.raw}} as the latter one saves only the model but not
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parameters. This serialization format is not stable across different xgboost versions.}
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\usage{
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xgb.serialize(booster)
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}
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\arguments{
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\item{booster}{the booster instance}
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}
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\description{
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Serialize the booster instance into R's raw vector. The serialization method differs
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from \code{\link{xgb.save.raw}} as the latter one saves only the model but not
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parameters. This serialization format is not stable across different xgboost versions.
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}
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\examples{
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data(agaricus.train, package='xgboost')
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data(agaricus.test, package='xgboost')
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train <- agaricus.train
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test <- agaricus.test
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bst <- xgboost(data = train$data, label = train$label, max_depth = 2,
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eta = 1, nthread = 2, nrounds = 2,objective = "binary:logistic")
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raw <- xgb.serialize(bst)
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bst <- xgb.unserialize(raw)
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}
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14
R-package/man/xgb.unserialize.Rd
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14
R-package/man/xgb.unserialize.Rd
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@@ -0,0 +1,14 @@
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/xgb.unserialize.R
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\name{xgb.unserialize}
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\alias{xgb.unserialize}
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\title{Load the instance back from \code{\link{xgb.serialize}}}
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\usage{
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xgb.unserialize(buffer)
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}
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\arguments{
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\item{buffer}{the buffer containing booster instance saved by \code{\link{xgb.serialize}}}
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}
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\description{
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Load the instance back from \code{\link{xgb.serialize}}
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}
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