ml_RTrees_create

mlfunctionOpenCV 5.0.0

import { ml_RTrees_create } from '@banou/opencv-wasm'

Use after await initOpenCV(). See the initialization and named imports guide.

Explore visually: Random forests →

Combine decisions from trees that split feature space into regions.

VISUAL WALKTHROUGHMachine learning

REFERENCE INPUTSeveral decision trees

Each tree uses feature tests to route a sample to a prediction.

→

RESULTAggregate the predictions

Two illustrative trees vote mint and one votes orange. Classification aggregates votes; regression aggregates numeric responses.

Illustrative example. The stages explain the method; they are not a live OpenCV execution.

Creates the empty model. Use StatModel::train to train the model, StatModel::train to create and train the model, Algorithm::load to load the pre-trained model.

ml_RTrees_create(): ml_RTrees | null;

Returns

The ml_RTrees | null result.

Upstream declaration ↗

These signatures describe this package. Upstream documentation can mention optional backends that are absent from this build. Check runtime compatibility before choosing a backend or file format.