Ensemble.AdaBoostClassifier

interface AdaBoostClassifierProps {
    nEstimators?: number;
    learningRate?: number;
    randomState?: number;
}
constructor(props: AdaBoostClassifierProps = {})

Parameters

Algorithm

AdaBoostClassifier trains decision stumps sequentially and reweights samples so that misclassified points receive more focus in subsequent rounds.

Methods

• fit(trainX: number[][], trainY: number[]): void
• predict(testX: number[][]): number[]
• predictProba(testX: number[][]): number[][]
• getFeatureImportances(): number[]

Example

const clf = new AdaBoostClassifier();
clf.fit(trainX, trainY);
const result = clf.predict(testX);