getTrainingDistribution function exported ✓ 100.0%

Last updated: 2026-02-24T21:07:57.576Z

Location

src/lib/dataset/training-data.ts:102-108

Metrics

LOC: 7 Complexity: 3 Params: 0 Coverage: 100.0% (4/4 lines, 11x executed)

Signature

getTrainingDistribution(): : Record<string, number>

Summary

Returns a count of training samples grouped by field type.

Source Code

export function getTrainingDistribution(): Record<string, number> {
  const distribution: Record<string, number> = {};
  for (const sample of TRAINING_SAMPLES) {
    distribution[sample.type] = (distribution[sample.type] || 0) + 1;
  }
  return distribution;
}

No outgoing dependencies.

Impact (Incoming)

graph LR getTrainingDistribution["getTrainingDistribution"] checkDatasetHealth["checkDatasetHealth"] getBalancingNeeds["getBalancingNeeds"] getUncoveredDictionaryTypes["getUncoveredDictionaryTypes"] checkDatasetHealth -->|calls| getTrainingDistribution getBalancingNeeds -->|calls| getTrainingDistribution getUncoveredDictionaryTypes -->|calls| getTrainingDistribution style getTrainingDistribution fill:#dbeafe,stroke:#2563eb,stroke-width:2px click getTrainingDistribution "bcb2653a7652dea2.html" click checkDatasetHealth "3be8e84862588bff.html" click getBalancingNeeds "260c9ebb87465dd1.html" click getUncoveredDictionaryTypes "ac720f861f543315.html"
SourceType
checkDatasetHealth calls
getBalancingNeeds calls
getUncoveredDictionaryTypes calls