This is documentation for an old release of Scikit-learn (version 1.3). Try the latest stable release (version 1.6) or development (unstable) versions.

Gaussian Process for Machine Learning

Examples concerning the sklearn.gaussian_process module.

Ability of Gaussian process regression (GPR) to estimate data noise-level

Ability of Gaussian process regression (GPR) to estimate data noise-level

Comparison of kernel ridge and Gaussian process regression

Comparison of kernel ridge and Gaussian process regression

Forecasting of CO2 level on Mona Loa dataset using Gaussian process regression (GPR)

Forecasting of CO2 level on Mona Loa dataset using Gaussian process regression (GPR)

Gaussian Processes regression: basic introductory example

Gaussian Processes regression: basic introductory example

Gaussian process classification (GPC) on iris dataset

Gaussian process classification (GPC) on iris dataset

Gaussian processes on discrete data structures

Gaussian processes on discrete data structures

Illustration of Gaussian process classification (GPC) on the XOR dataset

Illustration of Gaussian process classification (GPC) on the XOR dataset

Illustration of prior and posterior Gaussian process for different kernels

Illustration of prior and posterior Gaussian process for different kernels

Iso-probability lines for Gaussian Processes classification (GPC)

Iso-probability lines for Gaussian Processes classification (GPC)

Probabilistic predictions with Gaussian process classification (GPC)

Probabilistic predictions with Gaussian process classification (GPC)