Kernel and neighborhood methods · MLD-1193
Support vector regression
Support-vector learning for numeric targets, commonly with an insensitive error region.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Fit a nonlinear regression using a kernel.
Original caveat
Kernel and regularization choices remain important.
Context and aliases
Level: Intermediate. Stages: Theory · Training · Inference.
Tags: ML.
Aliases: SVR.
Related concepts
Original references
- scikit-learn: nearest neighbors ↗ · Reference link
- scikit-learn: support vector machines ↗ · Reference link
- Original reference URL ↗