What can I automate with the MLflow integration?

Track ML experiments and manage models in MLflow: find the best run, log metrics and params, register model versions and move aliases such as champion. Start a workflow when a version is registered, an alias moves or a run finishes. Lodol supports 17 actions and 3 triggers for MLflow, which you can combine with any other app in a workflow.

How do I connect MLflow to Lodol?

Connect MLflow once in your workspace and every action and trigger it supports can be added to a workflow, by you in the editor or by your AI.

All integrationsAI Models

MLflow

Track ML experiments and manage models in MLflow: find the best run, log metrics and params, register model versions and move aliases such as champion.

Start Free Browse all integrations

actions: 17
triggers: 3

Triggers

Start a workflow when something happens in MLflow.

New model versionRuns when a new version of a registered model is registered, such as to validate it or tell the team.
Model alias movedRuns when an alias of a registered model, such as champion, is pointed at another version, such as to deploy it.
Run finishedRuns when a run in an experiment ends, with its metrics and params, such as to report a training job's results or alert on a failure.

Actions

Steps a workflow can run in MLflow.

Filter MLflow actions

Search runsFind runs in an experiment by a metric, param or tag filter, in the order asked, with their metrics, params and tags.
Find best runFind the finished run in an experiment with the highest or lowest value of a metric, such as the most accurate.
Get runGet a run with its status, metrics, params, tags and the models it logged.
Create runStart a run in an experiment, to log metrics and params to from a workflow.
Log metrics, params and tagsLog metrics, params and tags to a run in one go, such as an evaluation's scores.
End runMark a run finished, failed or killed, with the time it ended.
Delete runMove a run to MLflow's trash, where it can be restored until the server's clean-up removes it.
Find or create experimentFind the experiment with a name, or create it when there is none, to start runs in.
List registered modelsList registered models with their aliases and newest version.
Search model versionsList a registered model's versions, or those registered from a run, newest first, with their aliases.
Get model versionGet a model version by its number or by an alias, such as the one champion points at.
Register model versionRegister the model a run logged as a new version of a registered model, registering the model's name first if it's new.
Set model aliasPoint an alias, such as champion, at a model version, moving it from the version it pointed at.
Delete model aliasRemove an alias from a registered model. The version itself stays.
Update model versionSet a model version's description, and add or change its tags, such as validated = true.
Move model version to stage (legacy)Move a model version to Staging, Production, Archived or None. Stages are deprecated in MLflow: use aliases where you can.
Delete model versionDelete a version of a registered model for good, with the aliases pointing at it. The run and its files stay.

Apps like MLflow

Weights & BiasesAI Models

TensorFeedNews

OpenAIAI Models

Google GeminiAI Models

Hugging FaceAI Models

MistralAI Models

Automate MLflow with Lodol.

Connect MLflow, then hand Lodol the job in Slack, Claude or ChatGPT.

Start Free See Pricing

Free plan, no credit card