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Don't copy training sets #2

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mzed opened this issue May 13, 2020 · 1 comment

Owner

mzed commented May 13, 2020

If knn and nn knew which output they were looking at, there wouldn't need to be multiple copies of the training data set.

The design idea was that these models didn't need to have any data about the set they are in. Does this need to break? Or, is there another way?

Owner Author

mzed commented May 13, 2020

This is in progress in the dev branch.

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