augmentTrainingSamples function exported ✓ 100.0%
Last updated: 2026-02-24T21:07:57.551Z
Metrics
LOC: 34
Complexity: 5
Params: 2
Coverage: 100.0% (11/11 lines, 6x executed)
Signature
augmentTrainingSamples(
config: AugmentationConfig = DEFAULT_AUGMENTATION,
): : TrainingSample[]
Summary
Generate augmented training samples by applying random transformations. Returns only the new augmented samples (not the originals).
Source Code
export function augmentTrainingSamples(
config: AugmentationConfig = DEFAULT_AUGMENTATION,
): TrainingSample[] {
const augmented: TrainingSample[] = [];
const strategyFns: Record<string, (s: string) => string> = {
shuffle: augmentShuffle,
drop: (s: string) => augmentDrop(s, config.dropRate ?? 0.2),
typo: augmentTypo,
};
for (const sample of TRAINING_SAMPLES) {
for (let i = 0; i < config.multiplier; i++) {
// Pick a random strategy
const strategy =
config.strategies[Math.floor(Math.random() * config.strategies.length)];
const fn = strategyFns[strategy];
if (fn) {
const signalText = flattenStructuredSignals(sample.signals);
augmented.push({
signals: fromFlatSignals(fn(signalText)),
category: sample.category,
type: sample.type,
source: "augmented",
domain: sample.domain,
difficulty: sample.difficulty,
language: sample.language,
domFeatures: sample.domFeatures,
});
}
}
}
return augmented;
}
Dependencies (Outgoing)
| Target | Type |
|---|---|
| augmentDrop | calls |
| flattenStructuredSignals | calls |
Impact (Incoming)
| Source | Type |
|---|---|
| EvalMisclassified | uses |
| FIELD_DICTIONARY | uses |