Logo Julia Gaussian Processes

logojuliagps.jl

using Plots, Colors, Measures
using AugmentedGaussianProcesses
pyplot()

julia_blue = RGB(0.251, 0.388, 0.847)
julia_green = RGB(0.22, 0.596, 0.149)
julia_purple = RGB(0.584, 0.345, 0.698)
julia_red = RGB(0.796, 0.235, 0.2)

x = [0.1, 0.2, 0.3]
y = [1.0, 2.0, 0.5]
xtest=  range(0.05,0.35,length=100)
k = transform(SqExponentialKernel(),20.0)
m=  GP(x,y,k)
train!(m,1)
mu,sig = proba_y(m, xtest)

plot(
    xtest,
    mu,
    ribbon = sqrt.(sig),
    color = julia_blue,
    legend = false,
    margin = 0.0mm,
    lw = 6.0,
    size = (300, 300),
    fillalpha = 0.4,
)
scatter!(
    x,
    y,
    framestyle = :none,
    color = [julia_red, julia_green, julia_purple],
    msw = 2.0,
    ms = 40.0,
    margin = 0.0mm,
    ylim = (-0.2, 2.5),
    xlim = extrema(xtest),
) |> display

savefig(joinpath(@__DIR__,"logojuliagps.svg"))