Kedro Kubeflow Plugin
0.6.2
Contents:
Introduction
What is Kubeflow Pipelines?
Why to integrate 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 (EXPERIMENTAL)
1. Preparing configuration
2. Preparing environment variables
3. Supported commands
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
»
Installation
Edit on GitHub
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
Read the Docs
v: 0.6.2
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latest
stable
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