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Till Rohrmann commented on FLINK-2267:
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I think [~rohits134] is no longer working on this issue. Theoretically you can
take it over [~mlipkovich]. However, be aware that there are only very few
people reviewing ML PRs at the moment. I would recommend to work rather on
something else (e.g. the CEP library).
> Support multi-class scoring for binary classification scores
> ------------------------------------------------------------
>
> Key: FLINK-2267
> URL: https://issues.apache.org/jira/browse/FLINK-2267
> Project: Flink
> Issue Type: New Feature
> Components: Machine Learning Library
> Reporter: Theodore Vasiloudis
> Priority: Minor
>
> Some scores like accuracy, recall and F-score are designed for binary
> classification.
> They can be used to evaluate multi-class problems as well by using micro or
> macro averaging techniques.
> This ticket is about creating such an option, allowing our binary
> classification metrics to be used in multi-class problems.
> You can check out [sklearn's user
> guide|http://scikit-learn.org/stable/modules/model_evaluation.html#multiclass-and-multilabel-classification]
> for more info.
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