[ ソース: xgboost-predictor-java ]
パッケージ: libxgboost-predictor-java (0.3.1+dfsg-2)
libxgboost-predictor-java に関するリンク
Debian の資源:
xgboost-predictor-java ソースパッケージをダウンロード:
- [xgboost-predictor-java_0.3.1+dfsg-2.dsc]
- [xgboost-predictor-java_0.3.1+dfsg.orig.tar.xz]
- [xgboost-predictor-java_0.3.1+dfsg-2.debian.tar.xz]
メンテナ:
外部の資源:
- ホームページ [github.com]
類似のパッケージ:
Java implementation of XGBoost predictor for online prediction tasks
XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. It implements machine learning algorithms under the Gradient Boosting framework. XGBoost provides a parallel tree boosting (also known as GBDT, GBM) that solve many data science problems in a fast and accurate way. The same code runs on major distributed environment (Kubernetes, Hadoop, SGE, MPI, Dask) and can solve problems beyond billions of examples.