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

Nonstationary Kernels over Complex Terrain

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

Space–Time Modelling of Winter Temperature

Spatial Modelling with Composable Gaussian Processes / Data Simulation

State-Space (Markovian) Gaussian Processes

Sparse Stochastic Variational Inference

Gridded Data with xarray

UCI Data Benchmarking