@astermind/astermind-premium/dist/elm/robust-kernel-elm.d.ts

Astermind Premium - Premium ML Toolkit

export interface RobustKernelELMOptions {
    categories: string[];
    kernelType?: 'rbf' | 'polynomial' | 'linear' | 'sigmoid';
    robustLoss?: 'huber' | 'hinge' | 'epsilon-insensitive';
    outlierThreshold?: number;
    gamma?: number;
    degree?: number;
    coef0?: number;
    activation?: 'relu' | 'tanh' | 'sigmoid' | 'linear';
    maxLen?: number;
    useTokenizer?: boolean;
}
export interface RobustKernelELMResult {
    label: string;
    prob: number;
    isOutlier?: boolean;
    robustness?: number;
}
/**
 * Robust Kernel ELM with outlier resistance
 * Features:
 * - Outlier-resistant kernels
 * - Robust loss functions
 * - Noise-tolerant learning
 * - Outlier detection
 */
export declare class RobustKernelELM {
    private kelm;
    private categories;
    private options;
    private outlierIndices;
    private trained;
    constructor(options: RobustKernelELMOptions);
    /**
     * Train with robust loss
     */
    train(X: number[][], y: number[] | string[]): void;
    /**
     * Detect outliers using statistical methods
     */
    private _detectOutliers;
    /**
     * Apply robust loss function
     */
    private _robustLoss;
    /**
     * Predict with outlier detection
     */
    predict(X: number[] | number[][], topK?: number): RobustKernelELMResult[];
    /**
     * Check if a point is an outlier
     */
    private _isOutlier;
}
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