/**
* ML-based profanity and toxicity detection module.
*
* This module provides optional ML-based detection using TensorFlow.js.
* It requires optional peer dependencies that must be installed separately:
*
* ```bash
* npm install @tensorflow/tfjs @tensorflow-models/toxicity
* ```
*
* @example
* ```typescript
* // Standalone ML detector
* import { ToxicityDetector } from 'glin-profanity/ml';
*
* const detector = new ToxicityDetector({ threshold: 0.9 });
* await detector.loadModel();
* const result = await detector.analyze('some text');
*
* // Hybrid filter (combines rules + ML)
* import { HybridFilter } from 'glin-profanity/ml';
*
* const filter = new HybridFilter({
* languages: ['english'],
* detectLeetspeak: true,
* enableML: true,
* mlThreshold: 0.85,
* });
* await filter.initialize();
* const result = await filter.checkProfanityAsync('some text');
* ```
*
* @module glin-profanity/ml
*/
export { ToxicityDetector } from './ToxicityDetector';
export { HybridFilter } from './HybridFilter';
export type { HybridFilterConfig } from './HybridFilter';
export type {
ToxicityLabel,
ToxicityPrediction,
MLAnalysisResult,
MLDetectorConfig,
HybridAnalysisResult,
} from './types';
// Transformers.js integration
export {
createMLChecker,
createHybridChecker,
isTransformersAvailable,
preloadModel,
RECOMMENDED_MODELS,
type MLCheckerConfig,
type HybridCheckerConfig,
type MLCheckResult,
type HybridCheckResult,
} from './transformers';
