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@astermind/astermind-pro

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

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export interface DeepELMProOptions { layers: number[]; activation?: 'relu' | 'tanh' | 'sigmoid' | 'linear'; useDropout?: boolean; dropoutRate?: number; useBatchNorm?: boolean; regularization?: { type: 'l1' | 'l2' | 'elastic'; lambda?: number; alpha?: number; }; layerWiseTraining?: boolean; pretraining?: boolean; categories: string[]; maxLen?: number; } export interface DeepELMProResult { label: string; prob: number; } /** * Improved Deep ELM with advanced training strategies * Features: * - Layer-wise training with autoencoder pretraining * - Dropout and batch normalization * - L1/L2/Elastic net regularization * - Better initialization strategies */ export declare class DeepELMPro { private layers; private options; private trained; private featureExtractors; constructor(options: DeepELMProOptions); /** * Train the deep ELM with improved strategies */ train(X: number[][], y: number[]): Promise<void>; /** * Predict with deep ELM */ predict(X: number[] | number[][], topK?: number): DeepELMProResult[]; /** * Pretrain layers as autoencoders */ private _pretrain; /** * Train layers sequentially */ private _trainLayerWise; /** * Train all layers jointly */ private _trainJoint; private _extractFeatures; private _extractFeaturesFromELM; private _batchNormalize; } //# sourceMappingURL=deep-elm-pro.d.ts.map