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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…
Read ArticleSeldon 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…
Read ArticleAt 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…
Read ArticleAside 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…
Read ArticleUntil now, Seldon has been focused on providing an enterprise-grade open-source recommendation engine – i.e. to suggest articles, videos, products to people based on behavioural and contextual data. In version 0.93, a general prediction endpoint is now available to developers. This major new feature allows easy integration of classification and regression machine learning models into…
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