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Add predictions for new samples to a list of POWERUP models using prepared POWERUP data returned by prepare_powerup_data(). Models skipped during training are retained unchanged.

Usage

add_powerup_predictions(models, new_data, models_to_use = NULL)

Arguments

models

A named list of POWERUP model objects generated by fit_powerup_models().

new_data

Prepared POWERUP data returned by prepare_powerup_data().

models_to_use

Optional vector with subset of names of models to use.

Value

A named list of POWERUP model objects with prediction outputs added under each model's new_data element. Models skipped during training are retained unchanged.

Examples

if (FALSE) { # \dontrun{
models_with_predictions <- add_powerup_predictions(models, prepared)
} # }