In this repository you will find exercises and solutions for using Kubeflow Pipelines. The exercises and examples are created by the EMEA Google Cloud ML Specialist team. For more information on Kubeflow Pipelines go and visit the website In this repository you will find the following examples:
- Using re-usable component for Deploying a Scikit-Learn model on AI Platform.
- Spark component for KFP.
- Component for training a Scikit Learn Pipeline on AI Platform.
- Example of training a Scikit-Learn Pipeline on the Kubeflow Cluster.
- Example of how to use the function to component for testing.
- How to build a basic python components and create your first pipeline.