Kubeflow Pipelines on-prem

by | June, 2019 | Webinars

1 min read
Kubeflow Pipelines on-prem

June 21, 2019

The Taxi Cab (or Chicago Taxi) example is a very popular data science example that predicts trips that result in tips greater than 20% of the fare. This example is already ported to run as a Kubeflow Pipeline on GCP, and included in the corresponding KFP repository. We are going to showcase the Taxi Cab example running locally, using the new MiniKF, and demonstrate Rok’s integration as well.

In this webinar, you will learn how to:
– Easily execute a local/on-prem Kubeflow Pipelines end-to-end example
– Seamlessly integrate Jupyter Notebooks and Kubeflow Pipelines with Arrikto’s Rok
– Run a complete KFP workflow without K8s-specific knowledge
– How Arrikto’s Rok fits into your plans for Kubeflow

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