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Full (refit-per-candidate) conformal intervals for one forecast step of a multistep fit. Requires step_lead() and step_sequence() to share a single source column (true of every multistep model built with this package's own examples/vignette); see the design note above kerasnip_step_recipe_step(). Only control$method = "grid" is supported.

Usage

# S3 method for class 'kerasnip_step_view'
int_conformal_full(object, train_data, ..., control = NULL)

Arguments

object

A kerasnip_step_view.

train_data

The raw training data used to fit object's underlying model.

...

Not used.

control

A probably::control_conformal_full() object; defaults to method = "grid" if not supplied.

Value

A kerasnip_conformal_full_step/int_conformal_full object; call predict() on it to get intervals for new data (a raw continuation of train_data).