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Feature Request MultiQuantile #269

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1991jhf opened this issue Jun 14, 2024 · 1 comment
Open

Feature Request MultiQuantile #269

1991jhf opened this issue Jun 14, 2024 · 1 comment

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@1991jhf
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1991jhf commented Jun 14, 2024

It would be nice to have multi-quantile regression for approximating histogram in one go.
similar to
https://catboost.ai/en/docs/concepts/loss-functions-regression#MultiQuantile

@jeremiedb
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Thanks for the pointer.

The part I found tricky in supporting quantiles is that as the loss isn't differentiable per se, I ended up tracking full vector in observations/targets in order to compute the leaf prediction values. Having a reliable gradient based proxy would be preferable. Notably for maintenance as I for now don't have much use case with such loss objectives.
If you can point to a gradient based approach for estimating the loss/gain and associated leaf predictions, it should be fairly strightforward to add support for this loss.

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