mlvault-mlflow
MLflow artifact store plugin for mlvault — store your MLflow artifacts with encrypted cloud storage.
Install
pip install mlvault mlvault-mlflow
mlvault init
Usage
Set the artifact store when creating an MLflow experiment:
import mlflow
mlflow.create_experiment("my-experiment", artifact_location="mlvault://my-project")
mlflow.set_experiment("my-experiment")
Then log artifacts as normal:
with mlflow.start_run() as run:
mlflow.log_artifact("checkpoint.pt")
run_id = run.info.run_id
After training, push to cloud storage:
mlvault commit <mlflow_run_id>
See the mlvault README for full documentation.
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for obsideo-cloud-mlflow 0.1.1
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| obsideo_cloud_mlflow-0.1.1.tar.gz | 4.9 kB | Without provenance | Details |
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| obsideo_cloud_mlflow-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.4 kB
Release files / obsideo_cloud_mlflow-0.1.1.tar.gz
| Download URL | obsideo_cloud_mlflow-0.1.1.tar.gz |
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| Size | 5.6 kB |
| Tags | Python 3 |
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