object

# `random_forest_regression`

Random Forest regression using regression trees as base learners trained on bootstrap samples and per-split random feature subsets.

Availability:
`logtalk_load(random_forest_regression(loader))`
Author: Paulo Moura
Version: 1:0:0
Date: 2026-05-05
Compilation flags:
`static, context_switching_calls`
Imports:
`public` regressor_common
Uses:
fast_random(Algorithm)
format
list
population
regression_tree
type
Remarks:
(none)
Inherited public predicates:
check_option/1 check_options/1 check_regressor/1 default_option/1 default_options/1 diagnostic/2 diagnostics/2 export_to_clauses/4 export_to_file/4 learn/2 learn/3 option/2 option/3 predict/3 print_regressor/1 regressor_options/2 valid_option/1 valid_options/1 valid_regressor/1

## Public predicates

(no local declarations; see entity ancestors if any)

## Protected predicates

(no local declarations; see entity ancestors if any)

## Private predicates

(no local declarations; see entity ancestors if any)

## Operators

(none)

See also

linear_regression, knn_regression, regression_tree, gradient_boosting_regression