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Is there any method, or plans to support larger data sets?
The actual size of the data set is only about 2 MB, so the 80GB virtual alloc would suggest that there are some serious scaling issues with the current implementation. I see that the actual crash is occurring in the gonum code, but I'm just wondering if there's a solution here to make this library usable with large datasets.
The text was updated successfully, but these errors were encountered:
Yeah it's possibly just a limitation of this approach. As that matrix gets larger the computation will blow out. The matrix calcs are outside of this repo, so unfortunately it can't be solved here easily.
Crashing here (calling gonum code):
regression/regression.go
Line 179 in d629f2e
Is there any method, or plans to support larger data sets?
The actual size of the data set is only about 2 MB, so the 80GB virtual alloc would suggest that there are some serious scaling issues with the current implementation. I see that the actual crash is occurring in the gonum code, but I'm just wondering if there's a solution here to make this library usable with large datasets.
The text was updated successfully, but these errors were encountered: