August 30, 2023

Enhancing Machine Learning Decision Trees with Elixir

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Enhancing Machine Learning Decision Trees with Elixir

Source: dockyard.com

The article by Sean Moriarity talks about a new Elixir library called Mockingjay, created by Andres Alejos, that aims to improve the performance of tree-based machine learning algorithms by compiling them into native Nx functions. Traditional Gradient Boosting algorithms, like the ones used in EXGBoost, rely heavily on NIFs which can lead to limitations within the Elixir ecosystem. Mockingjay allows for the transformation of trained XGBoost models into a format that integrates well with Nx code, enabling JIT compilation or the ability to use models as an Nx serving. This facilitates a more streamlined machine learning stack, offering compatibility with GPU and TPU accelerators without the need for custom interfaces. Moreover, early benchmarks have demonstrated that Mockingjay compiled decision trees can be up to 70% faster on CPUs when used with Nx and EXLA. The adoption of Mockingjay can greatly simplify machine learning infrastructure and results in performance enhancements, while maintaining a minimal reliance on NIFs.

Learning Distributed Systems through Fantasy and Elixir

Kevin Avignon invites you to embark on an exciting adventure in his online book, 'Beware of Dragons: A Distributed Systems Adventure'. Join him as he combines the magic of fantasy with the world of computer systems to explore the secrets of distributed systems and make your own epic journey.

Sep 16, 2023

Introducing the Modulex Package for Simplified Mocking in Elixir

Pedro Piñera Buendía recently explored mocking solutions in Elixir and introduced the application_module package, which provides a streamlined solution for managing module references in the application environment.

Oct 23, 2021

Creating and Managing Distributed Elixir Tasks on Fly.io

Jason Stiebs shows how to use Elixir and Fly.io to start a Machine anywhere in the world, execute code on it, and communicate with it as if it was running locally. The post explains how to achieve global distribution and highlights the benefits of using Elixir with a distributed global network.

Sep 21, 2023