eps
A Ruby library for building and serving predictive models with support for PMML and integration with Python and R models.
What is eps?
Eps is a machine learning library for Ruby that allows developers to build, evaluate, and serve predictive models directly within Ruby applications. It simplifies tasks like regression and classification by providing an intuitive API for training models, handling feature engineering, and persisting models using the PMML standard. The library also enables serving models originally built in Python or R, making it a versatile tool for integrating machine learning into Ruby-based projects.
Ruby developers and data scientists working on Rails applications or other Ruby projects who need to incorporate predictive modeling without switching to another language ecosystem.
Eps stands out by offering a pure-Ruby solution for machine learning with seamless interoperability for models built in Python and R, reducing deployment complexity. Its focus on simplicity, built-in validation, and support for standard PMML format makes it easy to integrate and maintain predictive models in production.
Overview
Machine learning for Ruby
Use Cases
Best For
- Adding predictive features like price estimation or classification to Rails applications
Related Projects
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