Part of the research-scale validation, advanced-model, interoperability, storage, adapter, or reproducibility programme. Experimental model functions remain subject to declared evidence gates.
Usage
compare_functional_scalar_models(x, scalar_features = c("pupil_peak", "pupil_auc",
"pupil_mean"), criterion = c("AIC", "log_loss"), folds = 5L, seed = 1L)
Arguments
- x
Functional pupil fit or prepared data.
- scalar_features
Scalar feature names.
- criterion
AIC or cross-validated log loss.
- folds
Grouped folds for cross-validation.
- seed
Random seed.
Value
The documented eyeprocess object, data frame, plot, report path, or adapter result.
