This page describes how to setup studioml to use local filesystem for storing experiment artifacts and meta-data. With this option, there is no need to setup any external connection to S3/Minio/GCS etc.
"studio_ml_config": { ... "database": { "type": "local", "endpoint": SOME_DB_LOCAL_PATH, "bucket": DB_BUCKET_NAME, "authentication": "none" }, "storage": { "type": "local", "endpoint": SOME_ARTIFACTS_LOCAL_PATH, "bucket": ARTIFACTS_BUCKET_NAME, } ... }
With StudioML database type set to "local", all experiment meta-data will be stored locally under directory: SOME_DB_LOCAL_PATH/DB_BUCKET_NAME. Similarly, with storage type set to "local", all experiment artifacts will be stored locally under directory: SOME_ARTIFACTS_LOCAL_PATH/ARTIFACTS_BUCKET_NAME.
Note: if you are using "local" mode, it is recommended to use it for both storage and database configuration. But it's technically possible to mix, for example, local storage configuration and S3-based database configuration etc.