Convert Notebook to Kubeflow Pipelines, run them as hyperparameter tuning experiments, track executions and artifacts with MLMD, cache and maintain an immutable history of executions: Kale brings all of this on the table in a unified workflow tool, simple to use.
November 21, 2019 @ KubeCon + CloudNativeCon North America 2019 The tutorial will focus on two essential aspects: 1. Low barrier to entry: deploy a Jupyter Notebook to Kubeflow Pipelines on the cloud using a fully GUI-based approach. This workflow enables data...
Kubeflow’s superfood for Data Scientists TL;DR: Kale lets you deploy Jupyter Notebooks that run on your laptop or on the cloud to Kubeflow Pipelines, without requiring any of the Kubeflow SDK boilerplate. You can define pipelines just by annotating...