@astermind/astermind-premium/dist/elm/variational-elm.d.ts

Astermind Premium - Premium ML Toolkit

export interface VariationalELMOptions {
    categories: string[];
    hiddenUnits?: number;
    priorVariance?: number;
    posteriorSamples?: number;
    activation?: 'relu' | 'tanh' | 'sigmoid' | 'linear';
    maxLen?: number;
    useTokenizer?: boolean;
}
export interface VariationalELMResult {
    label: string;
    prob: number;
    confidence: number;
    uncertainty: number;
    confidenceInterval?: [number, number];
}
/**
 * Variational ELM with uncertainty estimation
 * Features:
 * - Probabilistic predictions with uncertainty
 * - Bayesian inference
 * - Confidence intervals
 * - Robust predictions with uncertainty quantification
 */
export declare class VariationalELM {
    private elm;
    private categories;
    private options;
    private weightSamples;
    private trained;
    constructor(options: VariationalELMOptions);
    /**
     * Train variational ELM
     */
    train(X: number[][], y: number[] | string[]): void;
    /**
     * Predict with uncertainty estimation
     */
    predict(X: number[] | number[][], topK?: number, includeUncertainty?: boolean): VariationalELMResult[];
    /**
     * Estimate uncertainty using weight sampling
     */
    private _estimateUncertainty;
    /**
     * Predict with specific weight matrix (simplified)
     */
    private _predictWithWeights;
    /**
     * Sample weight matrices for uncertainty estimation
     */
    private _sampleWeights;
    private _gaussianRandom;
}
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