Kedro Vertex AI Plugin

Contents:

  • Introduction
    • What is GCP VertexAI Pipelines?
    • Why to integrate Kedro project with Vertex AI Pipelines?
  • Installation
    • Plugin installation
      • Kedro setup
      • Plugin installation
        • Install from PyPI
        • Install from sources
      • Available commands
        • init
        • ui
        • list-pipelines
        • compile
        • run-once
    • Configuration parameters
      • Dynamic configuration support
        • Using OmegaConfigLoader
        • Dynamic config providers
      • Grouping feature
        • Example
      • Resources configuration
  • Quick start
    • Quickstart
      • Preprequisites
      • Install the toy project with Vertex AI Pipelines support
      • Build the docker image to be used in Vertex AI Pipelines runs
        • Ensure right requirements.txt
        • Adjusting Data Catalog to be compatible with Vertex AI
        • Disable telemetry or ensure consent
        • Build the image
      • Run the pipeline on Vertex AI
      • Log datasets to Vertex AI Metadata
    • Google Cloud Platform support
      • Using kedro with AI Platform Notebooks
      • Using kedro-kubeflow with AI Platform Pipelines
        • 1. Connecting to AI Pipelines from AI Platform Notebooks
        • 2. Authentication to AI Pipelines from local environment
        • 3. Authenticating through IAP Proxy
      • Using kedro-kubeflow with Vertex AI Pipelines (EXPERIMENTAL)
        • 1. Preparing configuration
        • 2. Preparing environment variables
        • 3. Supported commands
    • Kedro-Mlflow integration
      • Authorization
        • Authorization with a service account email and OAuth Client ID (IAM)
        • OAuth2.0 based authorization
        • Custom authorization method
    • Continuous Deployment
      • Github Actions
    • Authenticating to Kubeflow Pipelines API
      • 1. KFP behind IAP proxy on Google Cloud
      • 2. KFP behind Dex+authservice
Kedro Vertex AI Plugin
  • Welcome to Kedro (Google Cloud Platform) VertexAI Plugin’s documentation!
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Welcome to Kedro (Google Cloud Platform) VertexAI Plugin’s documentation!

Contents:

  • Introduction
    • What is GCP VertexAI Pipelines?
    • Why to integrate Kedro project with Vertex AI Pipelines?
  • Installation
    • Plugin installation
    • Configuration parameters
  • Quick start
    • Quickstart
    • Google Cloud Platform support
    • Kedro-Mlflow integration
    • Continuous Deployment
    • Authenticating to Kubeflow Pipelines API

Indices and tables

  • Index

  • Module Index

  • Search Page

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