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have you considered adding other distances apart from the euclidean, or letting the user customize their own distance? If you are interested in this feature I could start working on it.
The text was updated successfully, but these errors were encountered:
I think other distance metrics could be interesting but some code re-factoring (#56 and #31) might be beneficial before doing that. Currently, as we saw with the great-circle distance adding a new distance requires repetitive changes all through the code base (also related to #121), and it would be preferable if that could be avoided as much as possile.
You are very welcome to contribute in general though.
One thing to have in mind: As with the great-circle distance, the meaning of anisotropy depends on your metric. When handling #133 with an isotropic n-dimensional kriging, the distance calculation could be just a plugin.
Since scipys cdist is used to calculate pairwise distances, we could simply provide all their metrics by passing through the metric keyword.
Hi,
have you considered adding other distances apart from the euclidean, or letting the user customize their own distance? If you are interested in this feature I could start working on it.
The text was updated successfully, but these errors were encountered: