Linear.LogisticRegression

interface LogisticRegressionProps {
    learningRate?: number;
    maxIter?: number;
}
constructor(props: LogisticRegressionProps = {})

Performs binary logistic regression optimized with gradient descent. The learningRate controls the step size during optimization and maxIter specifies the number of iterations.

Methods

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

fit

• trainX - Training features with shape [nSamples, nFeatures].
• trainY - Binary labels for each training sample.

predict

• testX - Feature matrix to classify.

Example

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