Linear and probabilistic models · MLD-0585
Isotonic regression
Fitting a monotonic function without imposing a fixed parametric shape.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Calibrate probabilities with a monotonic mapping.
Original caveat
It can overfit when calibration data is limited.
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 ↗