|
gptkbp:instanceOf
|
gptkb:model
|
|
gptkbp:citation
|
over 30,000
|
|
gptkbp:developer
|
gptkb:Tianqi_Chen
|
|
gptkbp:documentation
|
https://xgboost.readthedocs.io/
|
|
gptkbp:feature
|
distributed computing
cross-validation
early stopping
regularization
GPU acceleration
parallelization
tree pruning
sparse data support
|
|
gptkbp:firstReleased
|
2014
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
XGBoost library
|
|
gptkbp:implementsAlgorithm
|
decision trees
gradient boosting
random forest
|
|
gptkbp:latestReleaseVersion
|
2.0.3
2024-03-15
|
|
gptkbp:license
|
gptkb:Apache_License_2.0
|
|
gptkbp:organization
|
DMLC (Distributed Machine Learning Community)
|
|
gptkbp:platform
|
cross-platform
|
|
gptkbp:relatedTo
|
gptkb:CatBoost
gptkb:LightGBM
gptkb:scikit-learn
|
|
gptkbp:repository
|
https://github.com/dmlc/xgboost
|
|
gptkbp:supports
|
gptkb:dictionary
gptkb:list
regression
user-defined prediction problems
|
|
gptkbp:supportsLanguage
|
gptkb:Java
gptkb:Python
gptkb:Julia
gptkb:C++
gptkb:Scala
R
CLI
|
|
gptkbp:usedFor
|
gptkb:machine_learning
gptkb:Kaggle_competitions
data science
predictive modeling
|
|
gptkbp:writtenBy
|
gptkb:Java
gptkb:Python
gptkb:Julia
gptkb:C++
gptkb:Scala
R
|
|
gptkbp:bfsParent
|
gptkb:Gradient_Boosting
|
|
gptkbp:bfsLayer
|
7
|