@astermind/astermind-synth/dist/generators/ELMGenerator.d.ts

OmegaSynth - Label-Conditioned Synthetic Data Generator for AsterMind ELM/KELM Pipelines

/**
 * ELMGenerator - Label-conditioned string generator using ELM
 * Trains an ELM to generate encoded strings based on labels + noise
 */
import { LabeledSample } from '../types';
export interface ELMGeneratorConfig {
    maxLength: number;
    hiddenUnits?: number;
    activation?: 'tanh' | 'relu' | 'leakyrelu' | 'sigmoid' | 'linear' | 'gelu';
    ridgeLambda?: number;
    noiseSize?: number;
    seed?: number;
    useOneHot?: boolean;
    useClassification?: boolean;
    usePatternCorrection?: boolean;
}
export declare class ELMGenerator {
    private encoder;
    private elm;
    private labels;
    private config;
    private noiseSize;
    private patternCorrector;
    private sequenceContext;
    private useClassification;
    constructor(config: ELMGeneratorConfig);
    /**
     * Train the ELM generator on labeled samples
     */
    train(samples: LabeledSample[]): void;
    /**
     * Generate a string for a given label
     * @param label Label to generate for
     * @param noiseSeed Optional seed for noise generation (for deterministic output)
     */
    generate(label: string, noiseSeed?: number): string;
    /**
     * Generate multiple strings for a label with confidence-based selection
     */
    generateBatch(label: string, count: number): string[];
    /**
     * Refine generated string using sequence context
     */
    private refineWithSequenceContext;
    /**
     * Get all trained labels
     */
    getLabels(): string[];
    /**
     * Check if model is trained
     */
    isTrained(): boolean;
}