LinkedIn developed Feathr to help manage and distribute features used in its machine learning technologies.According to LinkedIn, the feature store is presently being used to track hundreds of features used by the social media giant.LinkedIn released the code of the feature store under an Apache 2.0 license in April, making the open source feature store available to the general public for the first time.LinkedIn is giving the Linux Foundation’s LF AI & Data section additional influence over the open source project by donating the feature store, which should attract more users and contributions.LinkedIn announced today that Feathr, its open source feature store, has joined LF AI & Data, the Linux Foundation’s umbrella foundation for big data and AI initiatives.Feathr is used to improve the accuracy and performance of ML systemsLinkedIn created Feathr to aid with the management and delivery of features used in its machine learning applications. Rather than dealing with features manually as part of a separate data pipeline, the feature store automates and standardizes the interaction with the data type, which is utilized in machine learning training and inference stages.The motivation for developing Feathr was to improve its machine learning systems’ consistency, accuracy, and performance. Users may now…
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