Kubeflow’s superfood for Data Scientists
New features:
Notable fixes/improvements:
New features:
Notable fixes/improvements:
This minor release mainly focuses on bug fixing and overall UX improvements.
Notably:
New features:
Improvements and bug fixes:
This release includes the code presented at KubeCon NA 2019 during the Kale workshop, with some additional bug fixes and performance improvements
This release includes the necessary machinery to convert a Jupyter Notebook to a Kubeflow Pipelines deployment.
This release provides four main modules:
The api module provides a simple Flask app that exposes the /kale
API that accepts a JupyterNotebook in raw format and call the Kale core module to create a KFP deployment.
The kale-toolbar-runner
provides a deployment button in the JupyterNotebook's toolbar. By clicking the deployment button Jupyter will send a POST request to localhost:5000/kale
with the currently active raw notebook.