Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: GaussianProcesses.jl: A Nonparametric Bayes package for the Julia
  Language   Gaussian processes are a class of flexible nonparametric Bayesian tools that
are widely used across the sciences, and in industry, to model complex data
sources. Key to applying Gaussian process models is the availability of
well-developed open source software, which is available in many programming
languages. In this paper, we present a tutorial of the GaussianProcesses.jl
package that has been developed for the Julia programming language.
GaussianProcesses.jl utilises the inherent computational benefits of the Julia
language, including multiple dispatch and just-in-time compilation, to produce
a fast, flexible and user-friendly Gaussian processes package. The package
provides many mean and kernel functions with supporting inference tools to fit
exact Gaussian process models, as well as a range of alternative likelihood
functions to handle non-Gaussian data (e.g. binary classification models) and
sparse approximations for scalable Gaussian processes. The package makes
efficient use of existing Julia packages to provide users with a range of
optimization and plotting tools.

22
The categories of this paper are: chao-dyn
32
The categories of this paper are: atom-ph
31
The categories of this paper are: ao-sci
33
The categories of this paper are: plasm-ph
11
The categories of this paper are: hep-lat
14
The categories of this paper are: math-ph
20
The categories of this paper are: acc-phys
6
The categories of this paper are: astro-ph
0
The categories of this paper are: hep-ph
21
The categories of this paper are: adap-org
29
The categories of this paper are: funct-an
26
The categories of this paper are: bayes-an
3
The categories of this paper are: physics
27
The categories of this paper are: comp-gas
1
The categories of this paper are: cs
10
The categories of this paper are: q-bio