@astermind/astermind-elm/dist/tasks/FeatureCombinerELM.d.ts

JavaScript Extreme Learning Machine (ELM) library for browser and Node.js.

import { ELMConfig } from '../core/ELMConfig';
export declare class FeatureCombinerELM {
    private elm;
    private config;
    private categories;
    constructor(config: ELMConfig & {
        inputSize?: number;
    });
    /** Concatenate encoder vector + metadata vector */
    static combineFeatures(encodedVec: number[], meta: number[]): number[];
    /** Convenience for batch combination */
    static combineBatch(encoded: number[][], metas: number[][]): number[][];
    /** Train from encoder vectors + metadata + labels (classification) */
    train(encoded: number[][], metas: number[][], labels: string[]): void;
    /** Predict top-K labels from a single (vec, meta) pair */
    predict(encodedVec: number[], meta: number[], topK?: number): import("../core/ELM").PredictResult[];
    /** Predict the single best label + prob */
    predictLabel(encodedVec: number[], meta: number[]): import("../core/ELM").PredictResult;
    /** Get hidden embedding for (vec, meta) pair (useful for chaining) */
    getEmbedding(encodedVec: number[], meta: number[]): number[];
    loadModelFromJSON(json: string): void;
    saveModelAsJSONFile(filename?: string): void;
}