Class: EvaluationLogger

const ev = new EvaluationLogger({name: 'my-eval', dataset: 'my-dataset'});

for (const example of streamingData) {
  const output = await myModel.predict(example);
  const pred = ev.logPrediction(example, output);

  if (shouldScore(output)) {
    pred.logScore("accuracy", calculateAccuracy(output));
  }
  pred.finish();
}

await ev.logSummary();

// Fire-and-forget style
const scoreLogger = evalLogger.logPrediction({input: 'test'}, 'output');
scoreLogger.logScore('accuracy', 0.95);
scoreLogger.finish();
await evalLogger.logSummary(); // Waits for everything

// Awaitable style
const scoreLogger = await evalLogger.logPredictionAsync({input: 'test'}, 'output');
await scoreLogger.logScore('accuracy', 0.95);
await scoreLogger.finish();