Overview

The main purpose of this repo is to provide a quick example of running hyperparmeter tuning in a pipeline that works with the current SDK.

Objectives

In this tutorial, you learn how to use prebuilt Google Cloud Pipeline Components for Vertex AI Hyperparameter Tuning.

This tutorial uses the following Google Cloud ML services:

• Google Cloud Pipeline Components
• Vertex AI Dataset, Model and Endpoint resources
• Vertex AI Hyperparameter Tuning

The steps performed include:

• Construct a pipeline for:
  • Hyperparameter tune/train a custom model.
  • Retrieve the tuned hyperparameter values and metrics to optimize.
  • Return the best run from a cutom KFP component
• Execute a Vertex AI pipeline.