ML-006: Training- und Evaluations-Workflow vorbereiten

2026-06-11 17:08:16 +02:00
parent 0bc928799a
commit 63d10a6c4f
3 changed files with 73 additions and 1 deletions
--- a/app/ml/training.py
+++ b/app/ml/training.py
@@ -25,7 +25,7 @@ class TrainingPipeline:
        if not vectors:
            raise ValueError("FeatureStore enthält keine Trainingsdaten.")

-        sensors = tuple({vector.sensor_id for vector in vectors})
+        sensors = tuple(sorted({vector.sensor_id for vector in vectors}))
        artifact = TrainedArtifact(artifact_id=artifact_id, supported_sensors=sensors)
        self._artifacts[artifact_id] = artifact
        logger.info("Training abgeschlossen für %s mit %d Sensoren", artifact_id, len(sensors))