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Yes. I can contribute this feature independently.
Related: #1849, #5017
The experiment page currently does not support auto refresh metrics.
I believe it was previously resolved by #1849, #5017, but it is reverted after re-designing tracking pages?
I would like to contribute if it is good idea for MLflow users.
What is the use case for this feature?
Viewing model metrics page without clicking the refresh button.
Why is this use case valuable to support for MLflow users in general?
It would be more convenient for users (UX)
Why is this use case valuable to support for your project(s) or organization?
Why is it currently difficult to achieve this use case?
No response
area/artifacts
area/build
area/deployments
area/docs
area/examples
area/model-registry
area/models
area/recipes
area/projects
area/scoring
area/server-infra
area/tracking
area/uiux
area/docker
area/sqlalchemy
area/windows
language/r
language/java
language/new
integrations/azure
integrations/sagemaker
integrations/databricks
The text was updated successfully, but these errors were encountered:
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Willingness to contribute
Yes. I can contribute this feature independently.
Proposal Summary
Related: #1849, #5017
The experiment page currently does not support auto refresh metrics.
I believe it was previously resolved by #1849, #5017, but it is reverted after re-designing tracking pages?
I would like to contribute if it is good idea for MLflow users.
Motivation
Viewing model metrics page without clicking the refresh button.
It would be more convenient for users (UX)
Details
No response
What component(s) does this bug affect?
area/artifacts
: Artifact stores and artifact loggingarea/build
: Build and test infrastructure for MLflowarea/deployments
: MLflow Deployments client APIs, server, and third-party Deployments integrationsarea/docs
: MLflow documentation pagesarea/examples
: Example codearea/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: