@astermind/astermind-premium/dist/elm/forgetting-online-elm.d.ts

Astermind Premium - Premium ML Toolkit

export interface ForgettingOnlineELMOptions {
    categories: string[];
    hiddenUnits?: number;
    decayRate?: number;
    windowSize?: number;
    timeBasedDecay?: boolean;
    activation?: 'relu' | 'tanh' | 'sigmoid' | 'linear';
}
export interface ForgettingOnlineELMResult {
    label: string;
    prob: number;
}
/**
 * Forgetting Online ELM with time-decay for concept drift
 * Features:
 * - Exponential decay of old samples
 * - Time-based or sample-based forgetting
 * - Sliding window for memory efficiency
 * - Handles concept drift automatically
 */
export declare class ForgettingOnlineELM {
    private elm;
    private categories;
    private options;
    private samples;
    private trained;
    private currentTime;
    constructor(options: ForgettingOnlineELMOptions);
    /**
     * Initial training with batch data
     */
    fit(X: number[][], y: number[] | number[][]): void;
    /**
     * Incremental update with forgetting mechanism
     */
    update(x: number[], y: number | number[]): void;
    /**
     * Predict with forgetting model
     */
    predict(x: number[] | number[][], topK?: number): ForgettingOnlineELMResult[];
    /**
     * Apply decay to all samples
     */
    private _applyDecay;
    /**
     * Retrain model with weighted samples
     */
    private _retrain;
    private _toOneHot;
    private _softmax;
    /**
     * Get sample statistics
     */
    getSampleStats(): {
        total: number;
        active: number;
        avgWeight: number;
    };
}
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