Linear and probabilistic models · MLD-0602
Kernel ridge regression
Ridge regression expressed through a kernel to learn nonlinear relationships.
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 smooth nonlinear predictions with an RBF kernel.
Original caveat
Large kernel matrices can be costly.
Context and aliases
Level: Intermediate. Stages: Training · Inference.
Tags: ML.
Aliases: KRR.
Related concepts
Original references
- scikit-learn: Gaussian processes ↗ · Reference link
- scikit-learn: linear models ↗ · Reference link
- scikit-learn: naive Bayes ↗ · Reference link
- Original reference URL ↗