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ubuntu/mlflow

Verified Publisher

By Canonical

Updated over 1 year ago

MLFlow: for managing the machine learning lifecycle. Long-term tracks maintained by Canonical.

Image
Data Science
Machine Learning & AI
Gen AI
5

10K+

MLflow | Ubuntu

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.

About MLflow

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.

Tags and Architectures

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 TagsCurrentlyArchitectures
2.1.1_1.0-22.04LTSESMMLflow 2.1.1_1.0 on Ubuntu 22.04 LTSamd64
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.

Commercial use and Extended Security Maintenance channels

If your usage includes commercial redistribution, or requires ESM or unavailable channels/versions, please get in touch with the Canonical team (or using rocks@canonical.com).

Usage

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.

Parameters

ParameterDescription
-p 5000:5000Expose MLflow on localhost:5000.

Testing/Debugging

To debug the container:

docker logs -f mlflow-container

To get an interactive shell:

docker exec -it mlflow-container /bin/bash

Bugs and feature requests

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>

Deprecated channels & tags

These channels (tags) are not updated anymore. Please upgrade to newer channels, or reach out if you can't upgrade.

TrackVersionEOLUpgrade Path
track

Docker Pull Command

docker pull ubuntu/mlflow