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In parsnip: A Common API to Modeling and Analysis Functions
The stop_iter() argument allows the model to prematurely stop training if the objective function does not improve within early_stop iterations.
The best way to use this feature is in conjunction with an internal validation set. To do this, pass the validation parameter of \code{\link[=xgb_train]{xgb_train()}} via the parsnip \code{\link[=set_engine]{set_engine()}} function. This is the proportion of the training set that should be reserved for measuring performance (and stopping early).
If the model specification has early_stop >= trees, early_stop is converted to trees - 1 and a warning is issued.
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parsnip documentation built on Aug. 18, 2023, 1:07 a.m.
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The stop_iter() argument allows the model to prematurely stop training if the objective function does not improve within early_stop iterations.
The best way to use this feature is in conjunction with an internal validation set. To do this, pass the validation parameter of \code{\link[=xgb_train]{xgb_train()}} via the parsnip \code{\link[=set_engine]{set_engine()}} function. This is the proportion of the training set that should be reserved for measuring performance (and stopping early).
If the model specification has early_stop >= trees, early_stop is converted to trees - 1 and a warning is issued.
Try the parsnip package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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