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

Astermind Premium - Premium ML Toolkit

export interface AdaptiveOnlineELMOptions {
    categories: string[];
    initialHiddenUnits?: number;
    minHiddenUnits?: number;
    maxHiddenUnits?: number;
    growthThreshold?: number;
    shrinkThreshold?: number;
    growthFactor?: number;
    shrinkFactor?: number;
    activation?: 'relu' | 'tanh' | 'sigmoid' | 'linear';
    maxLen?: number;
    useTokenizer?: boolean;
}
export interface AdaptiveOnlineELMResult {
    label: string;
    prob: number;
}
/**
 * Adaptive Online ELM that dynamically adjusts hidden units
 * Features:
 * - Grows hidden units when error is high
 * - Shrinks hidden units when performance is stable
 * - Maintains efficiency while adapting to data complexity
 */
export declare class AdaptiveOnlineELM {
    private elm;
    private categories;
    private options;
    private currentHiddenUnits;
    private trained;
    private errorHistory;
    private performanceHistory;
    constructor(options: AdaptiveOnlineELMOptions);
    /**
     * Initialize or reinitialize ELM with current hidden units
     */
    private _initializeELM;
    /**
     * Train with batch data
     */
    fit(X: number[][], y: number[] | number[][]): void;
    /**
     * Incremental update with adaptive adjustment
     */
    update(x: number[], y: number | number[]): void;
    /**
     * Predict with adaptive model
     */
    predict(x: number[] | number[][], topK?: number): AdaptiveOnlineELMResult[];
    /**
     * Adapt hidden units based on error
     */
    private _adaptHiddenUnits;
    /**
     * Evaluate error on data
     */
    private _evaluateError;
    /**
     * Evaluate recent error (for incremental updates)
     */
    private _evaluateRecentError;
    private _toOneHot;
    private _softmax;
    private _argmax;
    /**
     * Get current number of hidden units
     */
    getHiddenUnits(): number;
    /**
     * Get error history
     */
    getErrorHistory(): number[];
}
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