How to Install and Uninstall libxgboost-predictor-java Package on Kali Linux

Last updated: May 06,2024

1. Install "libxgboost-predictor-java" package

Please follow the guidelines below to install libxgboost-predictor-java on Kali Linux

$ sudo apt update $ sudo apt install libxgboost-predictor-java

2. Uninstall "libxgboost-predictor-java" package

This guide let you learn how to uninstall libxgboost-predictor-java on Kali Linux:

$ sudo apt remove libxgboost-predictor-java $ sudo apt autoclean && sudo apt autoremove

3. Information about the libxgboost-predictor-java package on Kali Linux

Package: libxgboost-predictor-java
Source: xgboost-predictor-java
Version: 0.3.1+dfsg-2
Installed-Size: 54
Maintainer: Debian Deep Learning Team
Architecture: all
Size: 29220
SHA256: 266cb0c2722e461734b3dc978c741a9e854769297c285cec38a56c0833cef245
SHA1: 36c27209e41c76aa852aa36d819c753b85e56f63
MD5sum: 4f4a709dbcd4e7f14b7640d3c4cbeb75
Description: 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.
Description-md5:
Homepage: https://github.com/komiya-atsushi/xgboost-predictor-java
Section: science
Priority: optional
Filename: pool/main/x/xgboost-predictor-java/libxgboost-predictor-java_0.3.1+dfsg-2_all.deb