맥에서 MLflow

ML experiment tracking & model registry (self-hosted) · ML Workbench

MLflow is the open-source platform for the ML lifecycle — experiment tracking, a model registry, projects and deployment, and now LLM tracing/evaluation. Install with pip (pip install mlflow) and run mlflow server for the tracking UI on :5000 (back it with a database + artifact store). Self-host or use a managed offering.

FrontierStack으로 MLflow 실행하기

MLflow을(를) 설치하거나 연결한 뒤 FrontierStack에서 상태, 포트, 인증서를 확인하십시오. 해당되는 경우 같은 화면에서 방화벽 점검, 악성코드 감사, 백업으로 이동할 수 있습니다.

관련 ML Workbench

• pandas
• Polars
• scikit-learn
• XGBoost
• PyTorch
• Kaggle
• Kubeflow
• ClearML