list_learners: Learner inventory table with capabilities.

In funcml: Functional Machine Learning Framework

Learner inventory table with capabilities.

Description

list_learners() returns a compact learner registry in the style of a catalog table. By default it focuses on the most user-visible columns: learner id, generic fit/predict/tune entry points, and availability in the current session.

Usage

list_learners(
  has_fit = NULL,
  has_predict = NULL,
  has_tune = NULL,
  available = NULL,
  columns = NULL,
  regression = NULL,
  classification = NULL,
  prob = NULL,
  multiclass = NULL,
  importance = NULL,
  tune = NULL
)

Arguments

has_fit	Optional logical filter for fit support.
has_predict	Optional logical filter for predict support.
has_tune	Optional logical filter for tuning support.
available	Optional logical filter for engine availability in the current session.
columns	Optional character vector of columns to return.
regression	Optional logical filter for regression support.
classification	Optional logical filter for classification support.
prob	Optional logical filter for probability support.
multiclass	Optional logical filter for multiclass support.
importance	Optional logical filter for feature-importance support.
tune	Deprecated alias for has_tune.

Details

Additional capability metadata remains available through ⁠columns =⁠.

Value

Data frame with learner metadata and capability columns.

Examples

list_learners()
list_learners(has_tune = TRUE)
list_tunable_learners()
list_learners(classification = TRUE, prob = TRUE,
              columns = c("learner", "has_tune", "supports_prob", "engine_package"))

funcml documentation built on Aug. 22, 2026, 5:08 p.m.