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MLFlow: for managing the machine learning lifecycle. Long-term tracks maintained by Canonical.
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Current MLflow Docker Image from Canonical, based on Ubuntu. Receives security updates and rolls to newer MLflow or Ubuntu release. This repository is free to use and exempted from per-user rate limits.
MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow offers a set of lightweight APIs that can be used with any existing machine learning application or library (TensorFlow, PyTorch, XGBoost, etc), wherever you currently run ML code (e.g. in notebooks, standalone applications or the cloud). Read more on the mlflow website.
👁 LTS
Up to 5 years free security maintenance on LTS channels.
👁 ESM
Up to 10 years customer security maintenance from Canonical's restricted repositories.
| Channel Tags | Currently | Architectures | ||
|---|---|---|---|---|
2.1.1_1.0-22.04 | 👁 LTS | 👁 ESM | MLflow 2.1.1_1.0 on Ubuntu 22.04 LTS | amd64 |
track_risk |
Channel Tags shows the most stable channel for that track ordered stable, candidate, beta, edge. More risky channels are always implicitly available. So if beta is listed, you can also pull edge. If candidate is listed, you can pull beta and edge. When stable is listed, all four are available. Images are guaranteed to progress through the sequence edge, beta, candidate before stable.
If your usage includes commercial redistribution, or requires ESM or unavailable channels/versions, please get in touch with the Canonical team (or using [email protected]).
Launch this image locally:
docker run -d --name mlflow-container -e TZ=UTC -p 5000:5000 ubuntu/mlflow:2.1.1_1.0-22.04_stable
Access your MLflow ui at http://localhost:5000.
| Parameter | Description |
|---|---|
-p 5000:5000 | Expose MLflow on localhost:5000. |
To debug the container:
docker logs -f mlflow-container
To get an interactive shell:
docker exec -it mlflow-container /bin/bash
If you find a bug in our image or want to request a specific feature, please file a bug here:
https://bugs.launchpad.net/ubuntu-docker-images/+filebug
Please title the bug "mlflow: <issue summary>". Make sure to include the digest of the image you are using, from:
docker images --no-trunc --quiet ubuntu/mlflow:<tag>
These channels (tags) are not updated anymore. Please upgrade to newer channels, or reach out if you can't upgrade.
| Track | Version | EOL | Upgrade Path |
|---|---|---|---|
track |
Content type
Image
Digest
sha256:2148a9775…
Size
293.1 MB
Last updated
over 2 years ago
docker pull ubuntu/mlflow:2.1.1_1.0-22.04Pulls:
361
Jun 15 to Jun 21