1.7. Gaussian Processes — scikit-learn 1.6.1 documentation
Gaussian Processes (GP) are a nonparametric supervised learning method used to solve regression and probabilistic classification problems. The advantages of Gaussian processes …
GPflow - Build Gaussian process models in python
GPflow is a package for building Gaussian process models in python, using TensorFlow. It was originally created and is now managed by James Hensman and Alexander G. de G. Matthews.
Fitting gaussian process models in Python - Domino
Fitting Gaussian Processes in Python. Though it's entirely possible to extend the code above to introduce data and fit a Gaussian process by hand, there are a number of libraries available …
Gaussian Processes for Classification With Python
Aug 3, 2020 · Gaussian Processes are a generalization of the Gaussian probability distribution and can be used as the basis for sophisticated non-parametric machine learning algorithms for …
Gaussian processes (1/3) - From scratch - GitHub Pages
This post explores some concepts behind Gaussian processes, such as stochastic processes and the kernel function. We will build up deeper understanding of Gaussian process regression by …
GPy - A Gaussian Process (GP) framework in Python
GPy is a Gaussian Process (GP) framework written in Python, from the Sheffield machine learning group. It includes support for basic GP regression, multiple output GPs (using …
Gaussian Process: Implementation in Python - GitHub Pages
In this section Gaussian Processes regression, as described in the previous section, is implemented in Python. First the case of predefined mean- and covariance-function is …
Probabilistic Predictions with Gaussian Process Classification …
Apr 24, 2025 · Gaussian Process Classification (GPC) is a probabilistic model for classification tasks. It is based on the idea of using a Gaussian process to model the relationship between …
A Comprehensive Guide to the Gaussian Process Classifier in Python
May 25, 2023 · A Gaussian Process Classifier (GPC) is a type of model used to solve yes/no (binary) classification problems. It works by using something called a Gaussian Process, which …
Gaussian Processes for Time-Series Analysis in Python
Aug 12, 2023 · Gaussian Processes (GPs) are a highly flexible Bayesian tool that can be employed in a variety of modeling tasks, including time-series analysis.
- Some results have been removed