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AutoML

Overview

  • Automates ML pipeline optimization for OpenShift AI using Kubeflow Pipelines and AutoGluon; evaluates configurations toward deployable model artifacts.
  • Early-stage package: functional BFF infrastructure; frontend UI is largely placeholder.

Design Intent

  • BFF (single ingress): Cluster auth chain; proxies experiment orchestration to Kubeflow Pipelines; uses the Kubernetes API for resources.
  • Serving by deployment mode:
    • Standalone and kubeflow: BFF serves compiled frontend assets.
    • Federated: BFF exposes API routes only; main ODH Dashboard hosts the UI.
  • Data flow: React → BFF (/api/v1/...) → Kubeflow Pipelines and/or Kubernetes → JSON to the UI.
  • Local dev: Without live endpoints, cmd/main.go can use in-memory mocks for Kubernetes and HTTP (KFP) clients.
  • Module Federation: Remote name automl; host loads ./AutoMLApp. Main-dashboard extension wiring is still evolving as the feature matures.

Key Concepts

Term Definition
AutoML run A single optimization campaign: Kubeflow Pipeline experiments exploring parameter combinations for a dataset.
AutoGluon ML library that performs automated model selection and hyperparameter search within pipeline runs.
Optimal configuration Parameter set with the best evaluation metric across a campaign; candidate for model registration.
BFF Go backend-for-frontend: auth, cluster API proxy, static assets (non-federated).
Deployment mode standalone, kubeflow, or federated — controls theme, asset serving, and integration points.

Interactions

Dependency Type Details
Kubeflow Pipelines External API BFF proxies experiment creation, run monitoring, and artifact retrieval.
Main ODH Dashboard Host application Loads AutoML via Module Federation in federated mode; provides auth context.
model-registry Package Registers optimal model configurations after a successful campaign.

Known Issues / Gotchas

  • Frontend is largely placeholder; BFF and OpenAPI contract are ahead of UI.
  • Kubeflow mode uses Material UI, not PatternFly v6 — guard PF imports if you share code across modes.
  • Without a live Kubeflow Pipelines endpoint, enable the HTTP client mock or the BFF may fail at startup when mocks are off.
  • Docker deployment is not documented here; use the package Makefile targets for local workflows.
  • Contract tests expect GET /healthcheck on the BFF.