Comments (3)
javier-cazana
commented on July 23, 2024
Whenever you have a working version we are ready to test it on our data, just so you know :)
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javier-cazana
commented on July 23, 2024
@StatMixedML HI Alexander, I was wondering what would be the best way of asking you about your paper. I have read it but I am not a statistician, so there are a few parts where I am bit lost. To be honest mostly regarding the description of the algorithm in page 7.
My email is [email protected]. If you prefer I can post here🙂
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StatMixedML
commented on July 23, 2024
@javier-cazana You can also post your questions here, no problem. Please make sure, however, you are using LaTex-Notation for writing symbols.
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Related Issues (20)
- Userdefine CV Class?
- Lower python version support
- error when using weights in lgb.Dataset HOT 3
- Models with init_score HOT 8
- Silent freezes HOT 3
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- Multi-parameter optimization with custom loss function for probabilistic forecasting HOT 6
- kwargs from the lightgbm predict are not available with the LightGBMLSS.predict HOT 5
- lightgbm v4.0.0? HOT 3
- Multi-task learning and ONNX support
- ETA for code HOT 2
- IndexError: LightGBMLSS.train(valid_sets=[dataset_val]) calls set_valid_margin, which seems to expect both train+val HOT 7
- Prediction of quantiles for parametric distributions HOT 5
- SHAP interpretations from zero-adjusted gamma model HOT 1
- Out of sample prediction and overall questions HOT 5
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- [Feature request] latest lightgbm support HOT 2
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