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npm/packages/agentic-synth/examples/self-learning/continual-learning.d.ts

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