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Samples close to wrap boundary pull the distribution onto the boundary:
using ApproxManifoldProducts, KernelDensityEstimatePlotting, Gadfly
PTS =Vector{Array{Float64, 2}}()
for th inrange(-pi, pi, length=30)
abs(th) <pi/2?continue:nothingpush!(PTS, 0.5.*randn(1,100) .+ th)
end
BEL = BallTreeDensity[]
for pts in PTS
push!(BEL, manikde!(pts, (:Circular,)))
end
col =getColorsByLength(length(BEL))
plotKDECircular(BEL, c=col)
Example gets worse for wide beliefs.
I was on branch feature/3Q19/basicproduct.
NOTE, was also using upstream branch KernelDensityEstimate.jl:feature/3Q19/sensitivityentropy.
Samples close to wrap boundary pull the distribution onto the boundary:
feature/3Q19/basicproduct
.KernelDensityEstimate.jl:feature/3Q19/sensitivityentropy
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