Comments (2)
Thanks for your interest in the project.
I am planning to release a revised version of both XGBoostLSS and LightGBMLSS soonish, including support for latest versions. But not sure when I find the time.
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Thank you for taking the time out of your busy schedule to reply!
We look forward to the day when this wonderful library will be available in the latest version of lgbm.
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Related Issues (20)
- General Discussion HOT 3
- Multi-parameter optimization with custom loss function for probabilistic forecasting HOT 6
- ETA for code HOT 2
- Out of sample prediction and overall questions HOT 5
- Binary Classification HOT 6
- Monotonicity of expectiles HOT 2
- Can't install on Ubuntu 20.04 HOT 2
- 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
- Zero-and-One-Adjusted Beta HOT 1
- 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
- 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
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