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In the R and C interfaces of LightGBM, the serialization functions convert floating point numbers to text representations in decimal format in order to save and load models (e.g. `LGBM_BoosterSaveMode…
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Problem: the approximate method can still be slow for many trees
catboost version: master
Operating System: ubuntu 18.04
CPU: i9
GPU: RTX2080
Would be good to be able to specify how many trees …
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I am using RayDP with Spark and am using this package with Ray Tune for HyperParameter Optimization with the lightGBM regressor. Unless there is something I'm missing, there's no way to use lgbm's na…
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## Description
We've run into an issue where identical input data produces different feature importance if the column order is different. This happens even with `feature_fraction: 1.0, 'deterministic…
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## Description
A `Dataset` cannot be constructed from a `Sequence` that returns sparse data. This behavior is unexpected as `Dataset` generally supports sparse data .
## Reproducible example
```
…
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Per comment below, this is now supported, but needs to be documented.
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does openFE support GPU
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Hello! Great work on yggdrasil - love the reference in the name.
I’ve been playing around with the library a bit and I was curious what the biggest feature differentiators of the library are from …
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~/miniconda3/lib/python3.8/site-packages/gpboost/engine.py in train(params, train_set, num_boost_round, gp_model, use_gp_model_for_validation, train_gp_model_cov_pars, valid_sets, valid_names, fobj, f…
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**Describe the bug**
the min_train_series_length for lgbm, catboost, xgboost and regression_model, at the moment only considers target lags and output chunk length. However, this definition should al…