[英]Where does mlr3 save the final model?
Where does mlr3
save the final model, after training a learner --- learner$train(data)
? mlr3 在训练学习者之后将最终的mlr3
保存在哪里 --- learner$train(data)
? By "final model", I mean something like a list produced by the following code:通过“最终模型”,我的意思是类似于由以下代码生成的列表:
model <- xgboost::xgb.train(data = data_train,
max.depth = 8, nthread = 2, nrounds = 15,
verbose = 0)
Is there a way to extract this list/object?有没有办法提取这个列表/对象?
task <- TaskRegr$new("data", data, "y")
learner <- lrn("regr.xgboost")
preprocess <- po("scale", param_vals = list(center = TRUE, scale = TRUE))
pp <- preprocess %>>% learner
gg<- GraphLearner$new(pp)
gg$train(task)
In xgboost the 'model' is stored as:在 xgboost 中,“模型”存储为:
model <- xgboost::xgb.train(data = data_train,
max.depth = 8, nthread = 2, nrounds = 15,
verbose = 0)
In MLR3, when trained using:在 MLR3 中,训练时使用:
task <- TaskRegr$new("data", data, "y")
learner <- lrn("regr.xgboost")
preprocess <- po("scale", param_vals = list(center = TRUE, scale = TRUE))
pp <- preprocess %>>% learner
gg<- GraphLearner$new(pp)
gg$train(task)
The equivalent to 'model' is stored as相当于“模型”存储为
gg$model$regr.xgboost$model
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