| xgb.attr | R Documentation |
These methods allow to manipulate the key-value attribute strings of an XGBoost model.
xgb.attr(object, name)
xgb.attr(object, name) <- value
xgb.attributes(object)
xgb.attributes(object) <- value
object |
Object of class |
name |
A non-empty character string specifying which attribute is to be accessed. |
value |
For |
The primary purpose of XGBoost model attributes is to store some meta data about the model.
Note that they are a separate concept from the object attributes in R.
Specifically, they refer to key-value strings that can be attached to an XGBoost model,
stored together with the model's binary representation, and accessed later
(from R or any other interface).
In contrast, any R attribute assigned to an R object of xgb.Booster class
would not be saved by xgb.save() because an XGBoost model is an external memory object
and its serialization is handled externally.
Also, setting an attribute that has the same name as one of XGBoost's parameters wouldn't
change the value of that parameter for a model.
Use xgb.model.parameters<-() to set or change model parameters.
The xgb.attributes<- setter either updates the existing or adds one or several attributes,
but it doesn't delete the other existing attributes.
Important: since this modifies the booster's C object, semantics for assignment here
will differ from R's, as any object reference to the same booster will be modified
too, while assignment of R attributes through attributes(model)$<attr> <- <value>
will follow the usual copy-on-write R semantics (see xgb.copy.Booster() for an
example of these behaviors).
xgb.attr() returns either a string value of an attribute
or NULL if an attribute wasn't stored in a model.
xgb.attributes() returns a list of all attributes stored in a model
or NULL if a model has no stored attributes.
data(agaricus.train, package = "xgboost")
train <- agaricus.train
bst <- xgb.train(
data = xgb.DMatrix(train$data, label = train$label, nthread = 1),
nrounds = 2,
params = xgb.params(
max_depth = 2,
nthread = 2,
objective = "binary:logistic"
)
)
xgb.attr(bst, "my_attribute") <- "my attribute value"
print(xgb.attr(bst, "my_attribute"))
xgb.attributes(bst) <- list(a = 123, b = "abc")
fname <- file.path(tempdir(), "xgb.ubj")
xgb.save(bst, fname)
bst1 <- xgb.load(fname)
print(xgb.attr(bst1, "my_attribute"))
print(xgb.attributes(bst1))
# deletion:
xgb.attr(bst1, "my_attribute") <- NULL
print(xgb.attributes(bst1))
xgb.attributes(bst1) <- list(a = NULL, b = NULL)
print(xgb.attributes(bst1))
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