[ 原始碼: xgboost-predictor-java ]
套件:libxgboost-predictor-java(0.3.1+dfsg-2)
libxgboost-predictor-java 的相關連結
Debian 的資源:
下載原始碼套件 xgboost-predictor-java:
- [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]
維護小組:
外部的資源:
- 主頁 [github.com]
相似套件:
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.