JupyterLab Extension

The Kale component of MiniKF and Arrikto Enterprise Kubeflow (EKF), allows you to operationalize your machine learning workflows as pipeline runs on Kubernetes deployments. Kale is provided as both a Python SDK and a JupyterLab extension.

In this section, we will describe how to use the Kale user interface (UI) from a Jupyter Notebook. The Kale UI enables you to annotate cells in a Notebook to define the steps of a machine learning pipeline. Using these annotations, Kale adapts your Python code so that the steps of your pipeline can be containerized and run on Kubernetes clusters.