Categoría: Kubeflow News

Issue #2019.08.12 – The Kubeflow Machine Learning Toolkit

Kubeflow — a machine learning toolkit for Kubernetes – An introduction to Kubeflow from the perspective of a data scientist. This article quickly runs through some key components – Notebooks, Model Training, Fairing, Hyperparameter Tuning (Katib), Pipelines, Experiments, and Model Serving. If you are looking for a quick overview, give this article a go. Here’s […]

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Issue #2019.08.05 – Kubeflow 0.6 Release

Kubeflow v0.6: support for artifact tracking, data versioning & multi-user – version 0.6 includes several enterprise features to support multiple users and better model training pipelines. For multiple users, Kubeflow v0.6 provides a flexible architecture for user isolation and single sign-on. For data, enhancements have been added to Kubeflow Pipelines and jupyter. In total, over […]

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Issue #2019.07.29 – Kubeflow Releases so far (0.5, 0.4, 0.3)

Kubeflow 0.5 simplifies model development with enhanced UI and Fairing library – The 2019 Q1 release of Kubeflow goes broader and deeper with release 0.5. Give your Jupyter notebooks a boost with the redesigned notebook app. Get nerdy with the new kfctl command line tool. Power to the people – use your favourite python IDE […]

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Issue #2019.07.22 – Kubeflow and Conferences, 2019

Kubeflow at OSCON 2019 – Over 10 sessions! Covering security, pipelines, productivity, ML ops and more. Some of the sessions are led by end-users, which means you’ll get the real deal about using Kubeflow in your production solution Kubeflow at KubeCon Europe 2019 in Barcelona – The top Kubeflow events from Kubecon in Barcelona, 2019. […]

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