\begin{matrix} \text{The Gaussian kernel feature map } \Phi(x_0)=\kappa_t(\cdot,x_0), \cr
\text{ for various values of } t  \text{ and } x_0.
\end{matrix}

t = 5 (slider from 0.01 to 10, step 0.01)
x_0 = 0 (slider from -5 to 5, step 0.1)
f(x) = exp(-(x - x_0)^(2) * t)
Α = (-0.9000036010038145, -0.14699281046733156)
Β = (1.14534811590135, -0.14699281046733156)
Γ = (1.1410691374141009, -0.4165684551640371)
Δ = (-0.9085615579783131, -0.4165684551640371)
πολύγ1, α, β, γ, δ = Polygon(Α, Β, Γ, Δ)