Photon ML
A scalable machine learning library for training Generalized Linear Models and GLMix models on Apache Spark.
What is Photon ML?
Photon ML is a scalable machine learning library built on Apache Spark for training Generalized Linear Models (GLMs) and Generalized Linear Mixed Models (GLMMs). It solves the problem of large-scale response prediction, enabling personalized recommendations and ranking systems by efficiently handling models with hundreds of billions of coefficients.
Data scientists and machine learning engineers working on large-scale recommendation systems, ad targeting, or ranking problems within Spark ecosystems.
Developers choose Photon ML for its proven scalability at LinkedIn, specialized support for GLMix models, and seamless integration with Apache Spark, offering production-ready tools for personalized prediction tasks.
Overview
A scalable machine learning library on Apache Spark
Use Cases
Best For
- Training personalized recommendation models with per-user and per-item coefficients
- Large-scale logistic regression for click-through rate prediction
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