[FR] Allow more than 500 runs in the charts #10299
Labels
area/uiux
Front-end, user experience, plotting, JavaScript, JavaScript dev server
enhancement
New feature or request
Willingness to contribute
Yes. I would be willing to contribute this feature with guidance from the MLflow community.
Proposal Summary
Sometimes, you may have 501 run, or 600, or 1000. In which case, it's pretty sad to see a select box in charts settings limiting it to just 500 runs.
An easy fix would be to change this select box to select/edit box, and add an 'All' option at the bottom (which should probably be the default).
Motivation
Displaying more than 500 runs. Being able to just display 'all' runs without thinking how many there are.
Details
No response
What component(s) does this bug affect?
area/artifacts
: Artifact stores and artifact loggingarea/build
: Build and test infrastructure for MLflowarea/docs
: MLflow documentation pagesarea/examples
: Example codearea/gateway
: AI Gateway service, Gateway client APIs, third-party Gateway integrationsarea/model-registry
: Model Registry service, APIs, and the fluent client calls for Model Registryarea/models
: MLmodel format, model serialization/deserialization, flavorsarea/recipes
: Recipes, Recipe APIs, Recipe configs, Recipe Templatesarea/projects
: MLproject format, project running backendsarea/scoring
: MLflow Model server, model deployment tools, Spark UDFsarea/server-infra
: MLflow Tracking server backendarea/tracking
: Tracking Service, tracking client APIs, autologgingWhat interface(s) does this bug affect?
area/uiux
: Front-end, user experience, plotting, JavaScript, JavaScript dev serverarea/docker
: Docker use across MLflow's components, such as MLflow Projects and MLflow Modelsarea/sqlalchemy
: Use of SQLAlchemy in the Tracking Service or Model Registryarea/windows
: Windows supportWhat language(s) does this bug affect?
language/r
: R APIs and clientslanguage/java
: Java APIs and clientslanguage/new
: Proposals for new client languagesWhat integration(s) does this bug affect?
integrations/azure
: Azure and Azure ML integrationsintegrations/sagemaker
: SageMaker integrationsintegrations/databricks
: Databricks integrationsThe text was updated successfully, but these errors were encountered: