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ENH WIP Arbitrary target labels instead of 0/1 #1006
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…nal labels because I can't figure it out
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You can adjust those test cases to run multiple times, of course. Just parametrize it to have a variety of labels, e.g.,
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Thanks for the quick response! Yes, I did parameterize, but the problem here is that I added preprocessing in Exponentiated Gradient, and not in all the individual load_data functions. In |
@adrinjalali @romanlutz Is this important to be done quick? If so, you should know I am a bit stuck, see the issues in the top post. |
I'd say that's the expected behavior. We should raise if there is only one class.
Generally, Also, this is not in the milestone, so we're not in too much of a rush for this PR. |
Sorry i've been quite inactive on this issue, I might pick it up in the future but for the coming couple of months not. If you are interested in this, please feel free to contribute! |
WIP on issue #911 (don't need to call the police)
This PR involves:
Issues:
test_threshold_optimization_degenerate_labels
andtest_single_y_class
(the latter is of gridsearch).isinstance(self.constraints, ClassificationMoment)
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