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This repository has been archived by the owner on May 21, 2022. It is now read-only.
Based on a suggestion from @oxinabox I agree it would be a good idea to introduce a function called separateobs (or something of that sorts). It should have a similar interface to stratifiedobs, but in contrast to it, it will try to split the data such that there are no overlaps in the labels between the separated subsets.
For example in handwriting recognition one wouldn't necessarily want samples from the same author in both the training and the test set.
The text was updated successfully, but these errors were encountered:
Based on a suggestion from @oxinabox I agree it would be a good idea to introduce a function called
separateobs
(or something of that sorts). It should have a similar interface tostratifiedobs
, but in contrast to it, it will try to split the data such that there are no overlaps in the labels between the separated subsets.For example in handwriting recognition one wouldn't necessarily want samples from the same author in both the training and the test set.
The text was updated successfully, but these errors were encountered: