KernelDensity.jl
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allow matrix as input for bivariate kde
Since the estimate of bivariate kde allow matrix as input, e.g.,
x = randn(100, 2)
f = kde(x)
it would be more convenient when evaluating at each points of x by pdf(f, x)
than
[pdf(f, x[i, 1], x[i,2]) for i = 1:size(x,1)]
BTW, at the first glance, I misunderstood the defined pdf(f, x, y)
, which evaluates at the grid formed by x and y instead of the pair of points. Sometimes, it would be also common to evaluate the pdf at some given points.