Save xgboost model to a file in binary format.
model object of
name of the file to write.
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
xgb.load function or the
Note: a model can also be saved as an R-object (e.g., by using
save). However, it would then only be compatible with R, and
corresponding R-methods would need to be used to load it. Moreover, persisting the model with
save) will cause compatibility problems in
future versions of XGBoost. Consult
a-compatibility-note-for-saveRDS-save to learn
how to persist models in a future-proof way, i.e. to make the model accessible in future
releases of XGBoost.
data(agaricus.train, package='xgboost') data(agaricus.test, package='xgboost') train <- agaricus.train test <- agaricus.test bst <- xgboost(data = train$data, label = train$label, max_depth = 2, eta = 1, nthread = 2, nrounds = 2,objective = "binary:logistic") xgb.save(bst, 'xgb.model') bst <- xgb.load('xgb.model') if (file.exists('xgb.model')) file.remove('xgb.model') pred <- predict(bst, test$data)
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