Summary method for pigauto_fit objects — summary.pigauto

Prints a formatted evaluation table including per-trait metrics, gate calibration, and conformal coverage. Requires the original pigauto_data object to compute test-set performance.

Usage

# S3 method for class 'pigauto_fit'
summary(object, ..., data = NULL)

Arguments

object: pigauto_fit object.
...: ignored.
data: pigauto_data object used for fitting (optional; when NULL the summary skips per-trait test metrics).

Value

Invisibly returns the evaluation data.frame (or NULL if data is not supplied).

Examples

# \donttest{
data(avonet300, tree300)
tree <- ape::keep.tip(tree300, tree300$tip.label[seq_len(30L)])
traits <- avonet300[match(tree$tip.label, avonet300$Species_Key),
                     c("Mass", "Wing.Length"), drop = FALSE]
rownames(traits) <- tree$tip.label
pd <- preprocess_traits(traits, tree)
splits <- make_missing_splits(pd$X_scaled, trait_map = pd$trait_map)
fit <- fit_pigauto(pd, tree, splits = splits, epochs = 5L,
                   verbose = FALSE)
#> Error: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
summary(fit, data = pd)
#> Error: object 'fit' not found
# }