# you may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 from ...

A walk-through of the functionalities of the developed package related to training and exploiting a gradient-enhanced Gaussian Process model for interpolation purposes. Tutorial 6: Gaussian Process ...

Before going into the details of GPyTorch, let us first understand what a Gaussian process means, in short. You might have heard about statistical inference techniques such as Bayesian inference using ...

For example, you might want to predict ... This is useful if a trained model is going to be consumed by a non-Python program. Many of my colleagues shy away from using Gaussian process regression, ...

The resulting model can be seen as a continuous analog of a standard PDM. However, while for PDMs the shape variation is restricted to the linear span of the example data, with GPMMs we can define the ...

To overcome this inaccuracy, an extended Goldak heat source model is proposed by introducing a laser penetration term as a function of laser parameters obtained from a Gaussian-Process (GP) model. The ...

The resulting model can be seen as a continuous analog of a standard PDM. However, while for PDMs the shape variation is restricted to the linear span of the example data, with GPMMs we can define the ...