Machine Learning Kernels

MLKernels.jl is a Julia package for Mercer kernel functions (or the covariance functions of Gaussian processes) that are used in the kernel methods of machine learning. This package provides a collection of kernel datatypes for representing kernel functions as well as an efficient set of methods to compute or approximate kernel matrices.

Installation

The package may be added by running one of the following code:

(v0.7) pkg> add MLKernels

Getting Started

Documentation on the interface implemented by MLKernels.jl is available under the interface section listed in the table of contents below or on the sidebar:

• Interface - the MLKernels API
• Kernels - a listing of the implemented kernel functions and their properties
• Kernel Theory - documentation on the theory surrounding kernel functions and the kernel trick