Framework Integrations
Integration experiments provide seamless optimization workflows for popular machine learning and data science frameworks. These specialized experiments handle the complexity of framework-specific optimization while maintaining Hyperactive's consistent API.
Why Use Integrations?
- Native Framework Support: Optimized workflows designed for specific ML frameworks
- Reduced Boilerplate: Pre-built experiment templates eliminate setup complexity
- Best Practices: Implementations follow framework conventions and optimization patterns
- Production Ready: Battle-tested integrations suitable for real-world applications