LinkedIn today announced that its open source feature store, dubbed Feathr, is joining LF AI & Data,
the Linux Foundation’s umbrella foundation for big data and AI projects.
Feathr was originally developed at LinkedIn to help manage and serve features used in its machine learning applications.
Instead of manually working with features as part of an individual data pipeline, Feathr automates and standardizes the interaction with the data type,
which is used in both the training and inference stages of machine learning.
The impetus in creating Feathr was providing greater consistency, accuracy, and performance in its machine learning programs.
By defining the data features used in ML programs once in a common feature namespace, users can now pull them up “by name” from within ML workflows.
This allows the same features to be used multiple ML programs, improving productivity and accuracy.
Feature stores also provide a more repeatable method for transforming source data into features
Feature stores also provide a more repeatable method for transforming source data into features