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QuantileTransformer is useful for scaling data whilst being robust to outliers. I didn't see this class listed in the documentation for convertibility to pmml. Just curious if there are plans to include it?
If the author write a step by step tutorial on guiding how to develop customized function, this kind of problem will be solved much easier. And it will also help the develop of this project.
QuantileTransformer is useful for scaling data whilst being robust to outliers. I didn't see this class listed in the documentation for convertibility to pmml. Just curious if there are plans to include it?
The sklearn docs:
http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.QuantileTransformer.html#sklearn.preprocessing.QuantileTransformer
Thank you!
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