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Hello,
I couldn't find the training pipeline for ScikitMixed model for getting DynPower using Gradient Boosting Regressor, since this is the only model available for CgroupOnly features. There are …
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It seems contradictory that:
1.In the python package of lightgbm, the default option of parameter 'boosting' is 'gbdt' while the optional option is 'goss';
2.The paper of lightgbm proposes Goss …
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Related to https://github.com/scikit-learn/scikit-learn/issues/27086 but specialized to the regression observed in `HistGradientBoostingClassifier` for better tracking.
With cython 3, it looks that…
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## Description
In Google Colab, I did:
```shell
! git clone --recursive https://github.com/Microsoft/LightGBM
! cd LightGBM && rm -rf build && mkdir build && cd build && cmake -DUSE_GPU=1 .. &…
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Hello,
I am attempting to compile a fairly substantial program using nuitka. upon completing compilation and running the executable in the `.dist/` folder using a git bash terminal, I receive the fo…
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## Description
With the same parameters except **data_sample_strategy**, time elapsed for training with parameter `data_sample_strategy = bagging` is 194s while that with parameter `data_sample_strat…
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I wasn't quite sure whether I understood this sentence correctly:
> Gradient boosting machines were applied with 10-fold cross-validation such that every sample was left out once.
If I understand …
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Gradients
https://github.com/Microsoft/LightGBM/blob/master/src/objective/binary_objective.hpp#L63-L78
63 const score_t response = -2.0f \* label \* sigmoid_ / (1.0f + std::exp(2.0f \* label \…
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Hi there,
I'm working on a regression problem with lightGBM 2.2.3, and I encountered a weird issue:
If I add a constant or multiply a positive constant to all features, the predicted value woul…
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File "C:\************\.venv\Lib\site-packages\Cython\Build\Dependencies.py", line 1125, in cythonize
result.get(99999) # seconds
^^^^^^^^^^^^^^^^^
File "C:\************\Python\…