[FR] Make it easier to find the exact way to search for runName, source name etc.

Willingness to contribute

No. I cannot contribute this feature at this time.

Proposal Summary

Make it easier to find the exact way to search for runName, source name etc. Ideally, provide a mouse-over for the columns on the results table, that gives the method to search for taht thing. eg if you mouse over the ‘RunName’ column, it will say ‘tags.mlflow.runName’.

Motivation

What is the use case for this feature?

Make it easy to enter queries into the UI

Why is this use case valuable to support for MLflow users in general?

Without being easy to search runs, the UI is much harder to use.

Why is this use case valuable to support for your project(s) or organization?

I need to be able to search runs easily.

Why is it currently difficult to achieve this use case?

Not easy to remember what is the exact thing to query if want to search for run name, duration, etc

Details

No response

What component(s) does this bug affect?

• area/artifacts: Artifact stores and artifact logging
• area/build: Build and test infrastructure for MLflow
• area/docs: MLflow documentation pages
• area/examples: Example code
• area/model-registry: Model Registry service, APIs, and the fluent client calls for Model Registry
• area/models: MLmodel format, model serialization/deserialization, flavors
• area/pipelines: Pipelines, Pipeline APIs, Pipeline configs, Pipeline Templates
• area/projects: MLproject format, project running backends
• area/scoring: MLflow Model server, model deployment tools, Spark UDFs
• area/server-infra: MLflow Tracking server backend
• area/tracking: Tracking Service, tracking client APIs, autologging

What interface(s) does this bug affect?

• area/uiux: Front-end, user experience, plotting, JavaScript, JavaScript dev server
• area/docker: Docker use across MLflow’s components, such as MLflow Projects and MLflow Models
• area/sqlalchemy: Use of SQLAlchemy in the Tracking Service or Model Registry
• area/windows: Windows support

What language(s) does this bug affect?

• language/r: R APIs and clients
• language/java: Java APIs and clients
• language/new: Proposals for new client languages

What integration(s) does this bug affect?

• integrations/azure: Azure and Azure ML integrations
• integrations/sagemaker: SageMaker integrations
• integrations/databricks: Databricks integrations

[hughperkins]

I see this is working in 1.30.0. Thank you 😃

[ridhimag11]

Hey @utkarsh867 great to know that you’re using MLflow often for your work. I’m a UX Designer on MLflow and would love t to chat with you to learn more about your experience using MLflow. If this is something that’s interesting to you, could you fill out this form and I’ll get in touch with you?