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