Linear and probabilistic models · MLD-0897
Poisson regression
A count model commonly using a log-linked mean and Poisson likelihood.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Predict event counts per interval.
Original caveat
Overdispersed counts may require another model.
Context and aliases
Level: Intermediate. Stages: Training · Inference.
Tags: ML.
Aliases: None recorded.
Related concepts
Concepts linking here
Original references
- scikit-learn: Gaussian processes ↗ · Reference link
- scikit-learn: linear models ↗ · Reference link
- scikit-learn: naive Bayes ↗ · Reference link
- Original reference URL ↗