SVR.jl
Data Analytics • 2019 • Active
SVR.jl provides support vector regression utilities used in model analysis and data-driven prediction workflows.
SVR.jl provides support vector regression capabilities for data-driven regression analysis and predictive modeling workflows.
It fits naturally within the broader MADS and scientific data analytics ecosystem for surrogate modeling and structured regression tasks.
The package offers a lightweight Julia-based option for teams needing interpretable regression utilities alongside other analytical workflows.
Capabilities
- Support vector regression for predictive modeling
- Useful for surrogate modeling and data-driven analysis
- Lightweight Julia package for regression workflows
Support Vector RegressionData AnalyticsJulia