Releases

Seldon Core

Seldon Core 1.2 Release

The Seldon team are delighted to announce the release of version 1.2 of our open source model deployment platform for Kubernetes. The release follows our award win for ‘Best Innovation in Open Source Technology’ at the 2020 CogX Innovation Awards and provides several updates outlined below. Following the release, Seldon CTO Clive Cox commented “With…

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DevClass: Can’t see the forest for the trees? Alibi Explain adds more models for better machine learning understanding

Julia Schmidt of DevClass dives into the latest release from Seldon’s data science team, Alibi Explain 0.5.o. Read the full article here or check out Julia’s other great work on their site. Machine learning teams in search of model explanations can now give the newly released Alibi Explain 0.5 a shot. The newest iteration of…

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Seldon releases Alibi Explain 0.5.0

The Seldon data science team are delighted to announce the release of v0.5.0 of Alibi Explain with three new techniques for explaining the predictions of machine learning models. This release features Integrated Gradients for Tensorflow models, Accumulated Local Effects for black-box models and TreeSHAP explanations for tree-based models such as gradient boosted models and random…

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Seldon releases v0.4.0 of Alibi Detect

Seldon has just released v0.4.0 of our outlier, adversarial & data drift detection library Alibi Detect with a multitude of new features that enable organisations to minimise risk and keep on top of their machine learning models. As AI and deep learning techniques continue to rapidly develop, these techniques are increasingly critical for businesses to…

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Seldon adds SHAP to the Alibi explainable AI library

One of the biggest blockers to leveraging neural networks across industries is that modern machine learning models are an algorithmic “black box”. Explainable AI is a relatively new area of research which allows organisations to confidently deploy models into production by providing a human-interpretable explanation for model outputs. There were various methodologies and research papers…

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Seldon and Kubeflow 1.0

Here at Seldon, we’re immensely proud of the work we’re been doing on the KFServing project alongside other contributors from Google, Microsoft, Bloomberg and IBM — the official Kubeflow 1.0 release is a milestone worth celebrating. Kubeflow is Google’s solution for deploying machine learning stacks on Kubernetes and was built to address two major issues…

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Seldon brings its Machine Learning Deployment Platform to New AWS Marketplace for Containers

Delivers customers advanced model serving and management running on Amazon Web Services. LAS VEGAS – AWS re:Invent 2018 – November 27, 2018 — Seldon, the open-source machine learning deployment platform, today launched Seldon Core on the new AWS Marketplace for Containers. Customers can now easily deploy machine learning models and experiments at scale running on…

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Seldon Launches New Commercial Kubernetes Application on Google Cloud Platform Marketplace

Seldon’s solution gives customers the ability to deploy and manage machine learning model graphs leveraging Google Cloud Platform and Kubernetes LONDON, July 18, 2018 — Seldon today announced it is introducing a commercial Kubernetes application to all users of the Google Cloud Platform Marketplace (GCP Marketplace). The new offering will provide customers with Seldon Core,…

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Seldon 1.3.3 released with Kafka Streams

We’re pleased to release Seldon 1.3.3 with several changes: Analytics provided by Kafka Streams instead of Spark Streaming New Movielens 10 Million Demo Comprehensive benchmarking guide The 1.3.2 release of Seldon contained Spark streaming jobs to feed real-time analytics of running predictive API calls. However, Spark Streaming was quite a heavy requirement to enforce on…

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