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vnmabus avatar vnmabus commented on June 17, 2024

The order of the naive algorithm for computing distance covariance is $O(N^2)$, which is problematic for large inputs. However, by default a fast $O(NlogN)$ algorithm is used whenever possible. The conditions for using it are that the input random vectors are unidimensional, and that the exponent used is one.

In your case you have exponent=0.5, so the naive algorithm is used. Do you have a particular reason for that choice? Otherwise I recommend you to stick to the default value of exponent=1.

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IslamAAli avatar IslamAAli commented on June 17, 2024

Thanks for your reply. I don't have a specific reason for having exp=0.5 at the moment. I changed that to 1, and the process is running smoothly.

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