Created
February 21, 2017 00:34
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Author
mrocklin
commented
May 17, 2021
via email
Hi folks, I'm unlikely to be responsive here. I recommend creating a
github issue somewhere so that folks other than me can help out.
…On Mon, May 17, 2021 at 9:32 AM Richard Pelgrim ***@***.***> wrote:
***@***.**** commented on this gist.
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Is there a similar example for hyperparameter tuning for dask-Xgboost
models?
Yes, I'd love to see that, too. Struggling to figure out how to do a
GridSearch CV on a dask-XGBoost, either on the Dask-ML or the original
XGBoost implementation.
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Great example!
Consider using an ordinal encoding or native categorical support in xgboost instead of a one hot encoding. Generally, a one hot encoding is slower on large datasets and often results in a less skillful xgboost model.
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