Choose cross-validation strategy for the base learner

Choose cross-validation strategy for the base learner

Usage

switch_generate_cv_rset(
  learner = c("spatial", "temporal", "spatiotemporal"),
  ...
)

Arguments

learner

character(1). Learner type. Should be one of:

• "spatial": spatial cross-validation.

• "temporal": temporal cross-validation.

• "spatiotemporal": spatiotemporal cross-validation.

...

Additional arguments to be passed.

Value

rsample::manual_rset() output object.

Note

This function's returned value is used as an input for fit_base_brulee, fit_base_lightgbm, and fit_base_elnet. Learner values can be used as a branching point for the cross-validation strategy.