Files
kubeflow/evaluation_pipeline.py
Billy D. cee21f124c feat: add MLflow tracking to evaluation pipeline
- Add create_mlflow_run and log_evaluation_to_mlflow KFP components
- Log accuracy, correct/total counts, pass/fail to MLflow experiment
- Upload evaluation_results.json as artifact
- Wire MLflow run into pipeline DAG before NATS publish
2026-02-12 06:15:13 -05:00

8.6 KiB