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Exporting MLflow Experiments from Restricted HPC Systems
- Running MLflow experiments on restricted HPC systems can be challenging, as outbound TCP connections are often limited.
- To bypass direct communication limitations, a workaround involves setting up a local MLflow server with local directory storage.
- Steps include creating a virtual environment, installing MLflow, and using mlflow-export-import for data transfer.
- Exporting experiment data to a local temp folder on the HPC and transferring it to the remote MLflow server is crucial.
- Installation of Charmed MLflow (MLflow server, MySQL, MinIO) using juju on MicroK8s localhost is recommended.
- Prerequisites include Python 3.2 loaded on both HPC and MLflow server, with specific configuration settings.
- Issues like thread utilization errors can occur, but setting thread limits and environment variables can help in resolving them.
- The process involves exporting experiments, transferring runs to the MLflow server, importing data to MySQL and MinIO, and cleaning up ports.
- By spinning up a local MLflow server, exporting, and importing experiments, users can track and manage experiments in restricted environments.
- Security precautions, such as secure transfer methods and monitoring local storage, are crucial when implementing this workaround.
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