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Quantile Regression using fast forest regressor #500

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hschap opened this issue Nov 16, 2020 · 0 comments
Open

Quantile Regression using fast forest regressor #500

hschap opened this issue Nov 16, 2020 · 0 comments

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@hschap
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hschap commented Nov 16, 2020

The nimbusml documentation says it's a quantile regression forest implementation, but I don't see where to input different quantiles for training or prediction and I don't see a quantiles arg in the prediction fn: https://docs.microsoft.com/en-us/python/api/nimbusml/nimbusml.ensemble.fastforestregressor?view=nimbusml-py-latest

I've used scikit-garden implementation of quantile regression forest before which includes a quantiles= arg in the predict fn: https:/scikit-garden/scikit-garden/blob/master/skgarden/quantile/ensemble.py#L103

Are quantile predictions possible using nimbusml fast forest regressor or any other regression model type?

Thanks for your help!

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