Delta Docs

Delta is a high-performance machine learning framework written in Rust, designed to provide efficient and scalable tools for classical machine learning tasks. Built with a focus on speed and reliability, Delta leverages Rust’s performance and safety guarantees to deliver compute-intensive algorithms optimized for CPU, with plans for future GPU support. The framework offers a growing suite of classical ML algorithms, currently including Linear Regression and Logistic Regression, with simple yet flexible APIs to support both beginners and advanced users.

• Backends
• Comparison
• Customization
• Datasets
• Development Guidelines
• Distributed Training
• Integration
• Intro - Classical ML
• Release Checklist
• Spotlight
• Vision