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

Astermind Premium - Premium ML Toolkit

import type { Graph } from './graph-elm.js';
export interface GraphKernelELMOptions {
    categories: string[];
    kernelType?: 'weisfeiler-lehman' | 'shortest-path' | 'random-walk';
    wlIterations?: number;
    kernel?: 'rbf' | 'polynomial' | 'linear' | 'sigmoid';
    gamma?: number;
    degree?: number;
    coef0?: number;
    activation?: 'relu' | 'tanh' | 'sigmoid' | 'linear';
}
export interface GraphKernelELMResult {
    label: string;
    prob: number;
}
/**
 * Graph Kernel ELM
 * Features:
 * - Graph kernels (Weisfeiler-Lehman, shortest-path, random-walk)
 * - Graph structure encoding
 * - Node classification/regression
 */
export declare class GraphKernelELM {
    private kelm;
    private categories;
    private options;
    private trained;
    constructor(options: GraphKernelELMOptions);
    /**
     * Train on graphs
     */
    train(graphs: Graph[], y: number[] | string[]): void;
    /**
     * Compute graph kernel features
     */
    private _computeGraphKernelFeatures;
    /**
     * Weisfeiler-Lehman kernel
     */
    private _weisfeilerLehmanKernel;
    /**
     * Shortest-path kernel
     */
    private _shortestPathKernel;
    /**
     * Random-walk kernel
     */
    private _randomWalkKernel;
    /**
     * Compute shortest paths (Floyd-Warshall simplified)
     */
    private _computeShortestPaths;
    /**
     * Predict on graphs
     */
    predict(graphs: Graph | Graph[], topK?: number): GraphKernelELMResult[];
}
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