Linear and probabilistic models · MLD-0455
Gaussian process regression
Regression using a Gaussian-process prior and an observation model.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Estimate a function and uncertainty from sparse measurements.
Original caveat
Uncertainty depends on kernel and noise assumptions.
Context and aliases
Level: Intermediate. Stages: Training · Inference.
Tags: ML.
Aliases: GPR.
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 ↗