Releases

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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Seldon 1.3.2 with Grafana Analytics Dashboard

When we provide recommendation and predictive services to our enterprise customers, it’s important that we are able to keep track of and optimise the performance of the infrastructure as well as the impact of the recommendations and predictions on KPIs. We’re excited to include our favourite open-source analytics dashboard as a fully integrated component in Seldon’s machine learning infrastructure. The new 1.3.2 release…

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Seldon brings machine learning to Kubernetes

Seldon makes life easier for data scientists and developers by connecting the best open-source technologies and toolkits to build an enterprise-grade machine learning infrastructure. Until now, there were two options for getting started with Seldon’s open-source platform. Either install the separate infrastructure components or run a virtual machine that encapsulates the entire platform. But manually…

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Streamline your predictive pipeline

At Seldon, we’re on a mission to deliver the most powerful enterprise machine learning platform, which means you solve real-world problems faster. We’ve hit another milestone release with Seldon 0.97, which includes support for real-time feature transformations in our new predictive pipelines. We also share some secrets for advanced recommendation engine configuration. All of these…

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Seldon v0.94 release with user tag based affinity modelling and multiple dimensions

Aside from some performance improvements, there are two new functionality updates in this release. Firstly, a user tag based affinity modelling and item recommendation algorithm. This provides a simple use case where clients have keyword tagged items. The offline modeling stage associates users to tags they have interacted with more than the average user based…

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