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pytorch-lightning
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PyTorchLightning / pytorch-lightning

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MulticlassAUROC: Implement a multi-class version of the AUROC metric

1
NumesSanguis
NumesSanguis commented Sep 1, 2020

🚀 Feature

Create the metric MulticlassAUROC to allow for the AUROC metric to be used in multi-class problem settings. Or,
Expand the AUROC metric to support multi-class data, which would also directly solve this AUROC bug that instead gives a random value when used in multi-class problems: https://github.com/PyTorchLightning/

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Metrics enhancement good first issue help wanted
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scikit-learn / scikit-learn

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DOC Stop referencing preprocessing functions in user guide

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lucyleeow
lucyleeow commented Aug 27, 2020

Describe the issue linked to the documentation

Follows from #17387

Suggest a potential alternative/fix

Stop referencing preprocessing functions e.g. :

maxabs_scale
minmax_scale
normalize
quantile_transform
robust_scale
scale
power_transform

in the UG, and only add them e.g. in the "See Also" sections, or even just in the API ref.

In particular right now the first entr

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Documentation Easy good first issue
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EthicalML / awesome-production-machine-learning

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A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

machine-learning data-mining awesome deep-learning awesome-list interpretability privacy-preserving production-machine-learning mlops privacy-preserving-machine-learning explainability responsible-ai machine-learning-operations ml-ops ml-operations privacy-preserving-ml large-scale-ml production-ml large-scale-machine-learning
  • Updated Sep 8, 2020
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