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Alex 373b18559a
Add recurring run demo (#917) 
* Add recurring run demo
 		2022-02-03 01:51:57 +05:30
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README.md Add recurring run demo (#917) 2022-02-03 01:51:57 +05:30
component.yaml Add recurring run demo (#917) 2022-02-03 01:51:57 +05:30
download.yaml Add recurring run demo (#917) 2022-02-03 01:51:57 +05:30
recurring.ipynb Add recurring run demo (#917) 2022-02-03 01:51:57 +05:30
success.sh Add recurring run demo (#917) 2022-02-03 01:51:57 +05:30

README.md

Kubeflow demo - Recurring runs with the KFP SDK

1. Setup your environment

This demo assumes that you have a functioning Kubeflow Pipelines deployment. If not, follow the instructions here and here.

This demo has been verified to work with:

  • KFP version 1.7.1
  • KFP SDK version 1.8.11

Activate the conda environment you created following the above steps.

Create a Jupyter kernel for your conda environment.

ipython kernel install --name "kfp" --user

2. Run the KFP SDK script

Step through the provided notebook to create a recurring run using the KFP SDK. Make sure to select the kfp kernel that you created earlier.