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| mlartifacts/1/models | ||
| training | ||
| .gitignore | ||
| docker-compose.yml | ||
| Dockerfile.mlflow-server | ||
| Dockerfile.model-serve | ||
| main.py | ||
| mlflow.db | ||
| pyproject.toml | ||
| README.md | ||
| uv.lock | ||
mlflow server --host 127.0.0.1 --port 8000
export MLFLOW_TRACKING_URI=http://localhost:8000
mlflow models serve -m "models:/Autoencoder_Anomaly_Detector/2" --host 0.0.0.0 --port 5001 --env-manager local