R: Learning rate

learn_rate {dials}

R Documentation

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. If a transformation is specified, these values should be in the transformed units.
`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()

[Package dials version 1.2.0 Index]