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https://github.com/Microsoft/LightGBM
They have parallel and distributed modes.
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Hello Team,
Great work on the package. I know there is awesome support for custom eval and loss function. However, is there a way to pass additional attributes (not part of the feature set)? For e…
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I did many experiments and finetuned with Optuna, then I got the best model of LightGBM.
Could I use that offline trained model and import / integrate it into Metarank?
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When I call the function `explain_prediction_lightgbm` on my lightgbm booster model,
`eli5.lightgbm.explain_prediction_lightgbm(model1, doc=example, feature_names=list(example.index))`
where model1 …
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EDIT: relevant issue on pytorch: https://github.com/pytorch/pytorch/issues/121101
The test suite recently began failing on MacOS.
Example failing run:
https://github.com/shap/shap/actions/run…
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As we know Lightgbm is now becoming more and more popular for its outstanding efficiency. Is it possible to add a new feature so that LightGBM's importance can be supported? That would be tons of help…
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Could lightgbm be added to AutoML?
http://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/xgboost.html#lightgbm-emulation-mode-options
Thanks!
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### What happened + What you expected to happen
This should be removed in Ray 2.1.1:
- class TuneReportCallback in "python/ray/tune/integration/xgboost.py"
- def local_dir and def checkpoint_dir in…
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## Summary
I have been looking into possible approaches to have a Prediction Interval for a LIghtGBM model. This model is already trained, and it is not a quantile regressor - since its purpose is …