Statements (54)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:software
machine learning tool |
| gptkbp:developedBy |
gptkb:Tianqi_Chen
|
| gptkbp:documentation |
https://xgboost.readthedocs.io/en/latest/python/index.html
|
| gptkbp:hasFeature |
distributed computing
binary classification cross-validation early stopping feature engineering feature selection hyperparameter tuning regularization feature importance parallel processing GPU acceleration custom evaluation metrics custom objective functions missing value handling multi-class classification tree pruning multi-threading integration with Dask integration with NumPy integration with scikit-learn integration with Spark checkpointing model serialization sparse data support integration with Pandas integration with Jupyter Notebook learning rate decay DMatrix data structure column sampling linear booster logistic regression objective model export to JSON model export to binary model interpretation ranking with pairwise loss regression with squared loss row sampling scikit-learn API compatibility tree booster tree boosting |
| https://www.w3.org/2000/01/rdf-schema#label |
XGBoost with Python
|
| gptkbp:license |
gptkb:Apache_License_2.0
|
| gptkbp:repository |
https://github.com/dmlc/xgboost
|
| gptkbp:supportsLanguage |
gptkb:Python
|
| gptkbp:usedFor |
gptkb:dictionary
gptkb:list regression gradient boosting |
| gptkbp:bfsParent |
gptkb:Jason_Brownlee
|
| gptkbp:bfsLayer |
7
|