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gptkbp:instanceOf
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gptkb:model
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gptkbp:basedOn
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gradient boosting
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gptkbp:competitor
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gptkb:CatBoost
gptkb:XGBoost
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gptkbp:developedBy
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gptkb:Microsoft
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gptkbp:documentation
|
https://lightgbm.readthedocs.io/
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gptkbp:feature
|
high accuracy
GPU acceleration
fast training speed
parallel learning
support for large datasets
efficient memory usage
distributed learning
feature importance analysis
support for sparse data
histogram-based learning
leaf-wise tree growth
model export to text and binary formats
support for categorical features
support for missing values
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gptkbp:firstReleased
|
2016
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|
https://www.w3.org/2000/01/rdf-schema#label
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LightGBM library
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gptkbp:license
|
gptkb:MIT_License
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gptkbp:memiliki_tugas
|
gptkb:dictionary
gptkb:list
regression
feature selection
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|
gptkbp:npmPackage
|
lightgbm
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gptkbp:openSource
|
true
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gptkbp:repository
|
https://github.com/microsoft/LightGBM
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gptkbp:supportedBy
|
true
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gptkbp:supports
|
gptkb:list
binary classification
regression
early stopping
multi-class classification
custom loss functions
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|
gptkbp:supportsAlgorithm
|
gptkb:tree
|
|
gptkbp:supportsDistributedLearning
|
true
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gptkbp:supportsLanguage
|
gptkb:Java
gptkb:Python
gptkb:C++
R
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|
gptkbp:supportsParallelLearning
|
true
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gptkbp:usedIn
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gptkb:Kaggle_competitions
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gptkbp:writtenBy
|
gptkb:Python
gptkb:C++
R
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gptkbp:bfsParent
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gptkb:Gradient_Boosting
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gptkbp:bfsLayer
|
7
|