d803bfe2b1
git-subtree-dir: vendor/ruvector git-subtree-split: b64c21726f2bb37286d9ee36a7869fef60cc6900
57 lines
1.8 KiB
TypeScript
57 lines
1.8 KiB
TypeScript
/**
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* Continual Learning Dataset Generation
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*
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* This example demonstrates:
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* - Incremental training data generation
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* - Domain adaptation scenarios
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* - Catastrophic forgetting prevention data
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* - Transfer learning datasets
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*/
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import type { GenerationResult } from '../../src/types.js';
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/**
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* Generate incremental training batches for continual learning
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*/
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export declare function generateIncrementalData(): Promise<GenerationResult<unknown>[]>;
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/**
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* Generate source and target domain data for domain adaptation
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*/
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export declare function generateDomainAdaptationData(): Promise<{
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source: GenerationResult<unknown>;
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target: GenerationResult<unknown>;
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labeledTarget: GenerationResult<unknown>;
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}>;
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/**
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* Generate replay buffer and interleaved training data
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*/
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export declare function generateAntiCatastrophicData(): Promise<{
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task1: GenerationResult<unknown>;
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task2: GenerationResult<unknown>;
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replay: GenerationResult<unknown>;
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interleaved: GenerationResult<unknown>;
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}>;
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/**
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* Generate pre-training and fine-tuning datasets
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*/
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export declare function generateTransferLearningData(): Promise<{
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pretraining: GenerationResult<unknown>;
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finetuning: GenerationResult<unknown>;
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fewShot: GenerationResult<unknown>;
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}>;
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/**
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* Generate data organized by difficulty for curriculum learning
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*/
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export declare function generateCurriculumData(): Promise<{
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stage: number;
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difficulty: string;
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data: GenerationResult<unknown>;
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}[]>;
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/**
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* Generate streaming data for online learning
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*/
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export declare function generateOnlineLearningStream(): Promise<GenerationResult<unknown>>;
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/**
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* Demonstrate complete continual learning pipeline
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*/
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export declare function completeContinualLearningPipeline(): Promise<void>;
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export declare function runAllContinualLearningExamples(): Promise<void>;
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//# sourceMappingURL=continual-learning.d.ts.map
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