News

Version 0.4.0 (2016-10-04)

Julia requirement moved up to version 0.5
Major speed improvements for fitting of GP object, and for covariance and gradient calculations
New Masked kernel
Various bug fixes

Version 0.3.0 (2016-07-11)

Introduced KernelData type to recycle calculations
Removed Winston plotting functions and implemented PyPlot as an alternative
Created methods for mean and cov functions of the Mean and Kernel objects
Fixed optimize! function to be consistent with most recent version of Optim.jl
Improvements to the Periodic kernel
fit! function no longer exported due to clash with a few packages

Version 0.2.1 (2016-06-06)

Added fit! function to fit a new set observations to existing GP object

Version 0.2.0 (2016-06-03)

Julia requirement moved up to v0.4
Support added for ScikitLearn
rand and rand! functions added to sample prior and posterior paths of Gaussian process
Major speed improvements for gradient calculations of stationary ARD kernels
Minor fixes for some kernels

Version 0.1.4 (2015-10-28)

Fixed plotting deprecation errors with Julia 0.4

Version 0.1.3 (2015-10-26)

Major speed improvements to kernel calculations, in particular to stationary and composite kernels
Fixed depraction warnings for Julia v0.4
All stationary kernels have the super type Stationary
Distance matrix calculations outsourced to Distances

Version 0.1.2 (2015-06-04)

Improvements in speed for predict and fitting functions
Positive definite matrix calculations outsourced to PDMats