|
gptkbp:instanceOf
|
gptkb:model
|
|
gptkbp:citation
|
over 30,000 (as of 2023)
|
|
gptkbp:developer
|
gptkb:Tianqi_Chen
|
|
gptkbp:documentation
|
https://xgboost.readthedocs.io/
|
|
gptkbp:feature
|
cross-validation
early stopping
regularization
GPU acceleration
parallelization
sparse aware
tree pruning
weighted quantile sketch
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
XGBoost
|
|
gptkbp:license
|
gptkb:Apache_License_2.0
|
|
gptkbp:mainFunction
|
gptkb:dictionary
gptkb:list
regression
gradient boosting
user-defined prediction problems
|
|
gptkbp:notableUser
|
gptkb:Kaggle_Grandmasters
|
|
gptkbp:platform
|
gptkb:Windows
gptkb:macOS
gptkb:Linux
cloud platforms
|
|
gptkbp:programmingLanguage
|
gptkb:Java
gptkb:Python
gptkb:Go
gptkb:Julia
gptkb:C++
gptkb:Scala
gptkb:Dask
R
CLI
|
|
gptkbp:relatedTo
|
gptkb:CatBoost
gptkb:LightGBM
gptkb:scikit-learn
gradient boosting decision trees
|
|
gptkbp:releaseDate
|
2014
|
|
gptkbp:repository
|
https://github.com/dmlc/xgboost
|
|
gptkbp:supports
|
distributed computing
custom evaluation metrics
custom objective functions
large datasets
missing value handling
|
|
gptkbp:usedIn
|
gptkb:machine_learning
gptkb:Kaggle_competitions
data science
finance
bioinformatics
industry applications
|
|
gptkbp:bfsParent
|
gptkb:artificial_intelligence
gptkb:machine_learning
|
|
gptkbp:bfsLayer
|
4
|