use_style

gpjax.plotting.use_style()

Apply the GPJax plotting style to Matplotlib globally.

If qc-core is installed, this applies its Calibrated Ledger style, which also registers the ledger colour names (for example, color="oxblood"). Otherwise, it applies the style file at STYLE_PATH.

Returns:

"ledger" or "gpjax".

Return type:

The name of the style that was applied

Raises:

ImportError – If Matplotlib is not installed.

Expand for references to gpjax.plotting.use_style

Backend Module Design

Gaussian Processes Barycentres

Classification

Sparse Gaussian Process Regression

Kernel Guide

Deep Kernel Learning

Dual Parameterisation of Sparse GPs (t-SVGP)

Graph Kernels

Heteroscedastic Inference / Background

New to Gaussian Processes? / Gaussian random variables

Introduction to Kernels

Likelihood Guide / Likelihoods in GPJax

Multi-Output Gaussian Processes

Natural Gradients in Practice

Natural Gradients

Joint Inference with Numpyro

Orthogonal Additive Kernels

Gaussian Processes for Vector Fields and Ocean Current Modelling

Scalable Multi-Output GPs with OILMM

Count Data Regression

Regression

Spatial Modelling with Composable Gaussian Processes / Data Simulation

State-Space (Markovian) Gaussian Processes

Sparse Stochastic Variational Inference

Gridded Data with xarray

UCI Data Benchmarking