5a2dcd1c33
* [R] Provide better guidance for persisting XGBoost model * Update saving_model.rst * Add a paragraph about xgb.serialize()
63 lines
2.0 KiB
R
63 lines
2.0 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/xgb.dump.R
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\name{xgb.dump}
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\alias{xgb.dump}
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\title{Dump an xgboost model in text format.}
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\usage{
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xgb.dump(
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model,
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fname = NULL,
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fmap = "",
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with_stats = FALSE,
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dump_format = c("text", "json"),
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...
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)
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}
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\arguments{
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\item{model}{the model object.}
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\item{fname}{the name of the text file where to save the model text dump.
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If not provided or set to \code{NULL}, the model is returned as a \code{character} vector.}
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\item{fmap}{feature map file representing feature types.
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Detailed description could be found at
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\url{https://github.com/dmlc/xgboost/wiki/Binary-Classification#dump-model}.
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See demo/ for walkthrough example in R, and
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\url{https://github.com/dmlc/xgboost/blob/master/demo/data/featmap.txt}
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for example Format.}
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\item{with_stats}{whether to dump some additional statistics about the splits.
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When this option is on, the model dump contains two additional values:
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gain is the approximate loss function gain we get in each split;
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cover is the sum of second order gradient in each node.}
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\item{dump_format}{either 'text' or 'json' format could be specified.}
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\item{...}{currently not used}
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}
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\value{
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If fname is not provided or set to \code{NULL} the function will return the model
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as a \code{character} vector. Otherwise it will return \code{TRUE}.
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}
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\description{
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Dump an xgboost model in text format.
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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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# save the model in file 'xgb.model.dump'
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dump_path = file.path(tempdir(), 'model.dump')
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xgb.dump(bst, dump_path, with_stats = TRUE)
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# print the model without saving it to a file
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print(xgb.dump(bst, with_stats = TRUE))
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# print in JSON format:
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cat(xgb.dump(bst, with_stats = TRUE, dump_format='json'))
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}
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