ml_SVM_create

mlfunctionOpenCV 5.0.0

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

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

Explore visually: Support vector machines →

Learn a decision boundary that balances class separation against margin violations.

VISUAL WALKTHROUGHMachine learning

REFERENCE INPUTLabelled feature vectors

A linear decision boundary separates these two illustrative classes.

→

RESULTClassify a new feature vector

The side of the boundary determines the predicted class in this linear example. Kernel models can produce nonlinear boundaries.

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

Creates empty model. Use StatModel::train to train the model. Since %SVM has several parameters, you may want to find the best parameters for your problem, it can be done with SVM::trainAuto.

ml_SVM_create(): ml_SVM | null;

Returns

The ml_SVM | 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.