Kedro Kubeflow Plugin
latest

Contents:

  • Introduction
    • What is Kubeflow Pipelines?
    • Why integrate a Kedro project with Pipelines?
  • Installation
    • Plugin installation
      • Kedro setup
      • Plugin installation
        • Install from PyPI
        • Install from sources
      • Available commands
        • init
        • ui
        • list-pipelines
        • compile
        • upload-pipeline
        • schedule
        • run-once
    • Configuration parameters
      • Dynamic configuration support
  • Getting Started
    • Quickstart
      • Preprequisites
      • Install the toy project with Kubeflow Pipelines support
      • Build the docker image to be used on Kubeflow Pipelines runs
      • Run the pipeline on Kubeflow
    • 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 (DEPRECATED)
    • Kedro-Mlflow integration
    • Continuous Deployment
      • Github Actions
    • Authenticating to Kubeflow Pipelines API
      • 1. KFP behind IAP proxy on Google Cloud
      • 2. KFP behind Dex+authservice
Kedro Kubeflow Plugin
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  • Welcome to Kedro Kubeflow Plugin’s documentation!
  • Edit on GitHub

Welcome to Kedro Kubeflow Plugin’s documentation!

Contents:

  • Introduction
    • What is Kubeflow Pipelines?
    • Why integrate a Kedro project with Pipelines?
  • Installation
    • Plugin installation
    • Configuration parameters
  • Getting Started
    • 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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