get_learning_curve: Learning curve of a fitted model

In rtemis: Schema-Driven Machine Learning and Visualization

Learning curve of a fitted model

Description

The loss recorded at every step of training, as data: one row per step, with the training and validation loss where the algorithm records them.

Returns NULL for an algorithm that records no learning curve, so it is safe to call on any model.

Usage

get_learning_curve(x, ...)

Arguments

x	Supervised object.
...	Additional arguments passed to methods.

Value

data.frame with columns iteration, loss_training and loss_validation, carrying attributes unit and selected; or NULL.

Author(s)

EDG

See Also

plot_learning, which draws it

Examples

dat <- set_outcome(iris[, 1:4], "Sepal.Length")
mod <- train(
  dat[1:100, ],
  dat_validation = dat[101:150, ],
  hyperparameters = setup_LINAD(max_leaves = 12L)
)
get_learning_curve(mod)

rtemis documentation built on Oct. 20, 2026, 1:06 a.m.