@astermind/astermind-pro/dist/infoflow/TransferEntropyPWS.d.ts

Astermind Pro - Premium ML Toolkit with Advanced RAG, Reranking, Summarization, and Information Flow Analysis

export type TEBaseOpts = {
    window?: number;
    condLags?: number;
    xLags?: number;
    normalize?: boolean;
};
export type PWSOpts = TEBaseOpts & {
    tailQuantile?: number;
    tailBoost?: number;
    decay?: number;
    usePWS?: boolean;
    jitterSigma?: number;
    pwsIters?: number;
    bandwidth?: number;
    ridge?: number;
    bits?: boolean;
};
export declare class TransferEntropyPWS {
    private opts;
    private xBuf;
    private yBuf;
    private yDiffBuf;
    private wBuf;
    constructor(opts?: PWSOpts);
    /** Push one synchronized sample (vectors OK). */
    push(x: number[] | number, y: number[] | number): void;
    /** Basic Phase-2 call: choose PWS or vanilla IS+KDE based on opts.usePWS */
    estimate(): number;
    /** Vanilla importance-weighted TE via KDE (no path jitter). */
    estimateIS(): number;
    /** Path-Weight Sampling: jitter past contexts, average conditional entropies. */
    estimatePWS(): number;
}
/** Manage many labeled links, PWS-enabled. Same API as Phase-1. */
export declare class InfoFlowGraphPWS {
    private defaultOpts;
    private monitors;
    constructor(defaultOpts?: PWSOpts);
    get(name: string): TransferEntropyPWS;
    snapshot(): Record<string, number>;
}
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