Statements (52)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:model
|
| gptkbp:competitor |
gptkb:CatBoost
gptkb:XGBoost gptkb:scikit-learn_GradientBoosting |
| gptkbp:developedBy |
gptkb:Microsoft
|
| gptkbp:documentation |
https://lightgbm.readthedocs.io/
|
| gptkbp:feature |
early stopping
GPU support categorical feature support decision tree based distributed training efficient for large datasets fast training speed low memory usage missing value handling parallel learning supports SHAP values supports bagging supports binary classification supports boosting supports continued training supports custom evaluation metrics supports custom objective functions supports distributed computing supports feature importance supports histogram-based learning supports leaf-wise tree growth supports model export supports model import supports multi-class classification supports multiclass classification supports ranking supports regression |
| gptkbp:firstReleased |
2016
|
| https://www.w3.org/2000/01/rdf-schema#label |
LightGBM
|
| gptkbp:license |
gptkb:MIT_License
|
| gptkbp:platform |
cross-platform
|
| gptkbp:programmingLanguage |
gptkb:Java
gptkb:Python gptkb:C++ R |
| gptkbp:repository |
https://github.com/microsoft/LightGBM
|
| gptkbp:supports |
gptkb:dictionary
gptkb:list regression feature selection |
| gptkbp:supportsAlgorithm |
gradient boosting
|
| gptkbp:usedFor |
gptkb:machine_learning
gptkb:Kaggle_competitions data science |
| gptkbp:bfsParent |
gptkb:machine_learning
|
| gptkbp:bfsLayer |
4
|