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WG AutoML Charter

This charter adheres to the conventions, roles and organization management outlined in wg-governance.

Scope

WG AutoML is responsible for all aspects of Automated Machine Learning technologies on Kubeflow. The WG covers researching, developing and operating various targets of ML automation for Kubeflow.

In scope

Code, Binaries and Services

  • APIs and tools used for running AutoML experiments (e.g. Experiment, Suggestion, Trial CRD/Controller).
  • Web UI to enhance user experience with AutoML techniques.
  • Database manager to analyse and store experiments metrics.
  • Documentation for detailed description of using AutoML in Kubeflow.

Cross-cutting and Externally Facing Processes

  • Coordinating with Training WG to make sure that all distributed training jobs can be used in AutoML experiments.
  • Coordinating with Manifests WG to ensure that AutoML manifests are properly deployed with Kubeflow.
  • Coordinating with Central Dashboard WG to correct integration with AutoML UI.
  • Coordinating with release teams to ensure that the AutoML features can be released properly.

Out of scope

  • APIs used for running Training Jobs (Trials) (this is related to Training WG).

Roles and Organization Management

This WG follows adheres to the Roles and Organization Management outlined in wg-governance and opts-in to updates and modifications to wg-governance.

Subproject Creation

WG Technical Leads.