v0.1.8

VectorizedReduction v0.1.8

Diff since v0.1.7

• Update compatibility with Static v0.8

• Add vmapreducethen: Apply function f to each element of A, reduce the result over the dimensions
  dims using the binary function op, then apply g to the result. Equivalent to
  g.(mapreduce(f, op, A, dims=dims, init=init)) but avoids the intermediate implied
  by said expression while also fusing the post-transform g such that the output array
  is populated in a single pass.

• Add distances: vmanhattan, veuclidean, vchebyshev, vminkowski

• Add norms: vnorm

• Add deviances: vcounteq, vcountne, vmeanad, vmaxad, vmse, vrmse

Released, but still need docstrings:

• Add means: vmean, vgeomean, vharmmean
• Add entropies: vcrossentropy, vmaxentropy, vshannonentropy, vcollisionentropy, vrenyientropy
• Add divergences: vkldivergence, vgkldiv, vrenyidivergence