dials: learn_rate – R documentation

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learn_rate

Learning rate

The parameter is used in boosting methods (parsnip::boost_tree()) or some types of neural network optimization methods.

learn_rate(range = c(-10, -1), trans = log10_trans())

`range`	A two-element vector holding the defaults for the smallest and largest possible values, respectively.
`trans`	A `trans` object from the `scales` package, such as `scales::log10_trans()` or `scales::reciprocal_trans()`. If not provided, the default is used which matches the units used in `range`. If no transformation, `NULL`.

The parameter is used on the log10 scale. The units for the range function are on this scale.

learn_rate() corresponds to eta in xgboost.

learn_rate()

Tools for Creating Tuning Parameter Values

v0.0.10

MIT + file LICENSE

Authors

Max Kuhn [aut], Hannah Frick [aut, cre], RStudio [cph]

Initial release