Misc estimator fixes #161
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Misc estimator fixes #161
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I wonder why the git fetch fails on travis - I will try restarting it. |
timokau
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Seems to have fixed itself. |
kiudee
previously approved these changes
Sep 26, 2020
Merge can only be called on multiple layers, and in the case of length-one rankings there will only be one layer.
Required by the scikit-learn estimator API for easier fit-predict chaining.
This would previously fail due to a division by 0 if the ranking is 0-based and consists of only one object. Concretely, this would fail the "check_fit2d_1sample" check from the scikit-learn estimator test suite if we generate 0-based rankings.
timokau
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For some reason GitHub told me the branch is outdated, even though there were no conflicts. So I did a trivial rebase, please re-approve. |
kiudee
approved these changes
Sep 28, 2020
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Description
Cleaning up & pulling out this weeks changes from #116.
Motivation and Context
I'm trying to avoid piling up too many unreviewed "fixup" commits in #116. These changes are ready now, so I think its better to get them in now.
How Has This Been Tested?
Ran the pre-commit checks and the test suite for every commit.
Does this close/impact existing issues?
Impacts #94.
Types of changes
Checklist: