How to Install and Uninstall xgboost Package on Kali Linux
Last updated: December 23,2024
1. Install "xgboost" package
In this section, we are going to explain the necessary steps to install xgboost on Kali Linux
$
sudo apt update
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$
sudo apt install
xgboost
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2. Uninstall "xgboost" package
Here is a brief guide to show you how to uninstall xgboost on Kali Linux:
$
sudo apt remove
xgboost
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the xgboost package on Kali Linux
Package: xgboost
Version: 2.0.3-1
Installed-Size: 7252
Maintainer: Debian Deep Learning Team
Architecture: amd64
Depends: libxgboost0 (= 2.0.3-1), libc6 (>= 2.34), libdmlc0 (>= 0.5), libgcc-s1 (>= 3.4), libgomp1 (>= 6), libstdc++6 (>= 13.1)
Size: 1809212
SHA256: 0dd5269478df7f77a96739c1132c46d040097f5daeb91476240867983ab4d403
SHA1: 1cbc7783965b3edf4b653470c5d3a553bc5d0412
MD5sum: de5edadb86689d2674bb04f0e8cb1c25
Description: Scalable and Flexible Gradient Boosting (Executable)
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.
.
This package contains the xgboost binary executable.
Description-md5:
Homepage: https://xgboost.ai/
Section: science
Priority: optional
Filename: pool/main/x/xgboost/xgboost_2.0.3-1_amd64.deb
Version: 2.0.3-1
Installed-Size: 7252
Maintainer: Debian Deep Learning Team
Architecture: amd64
Depends: libxgboost0 (= 2.0.3-1), libc6 (>= 2.34), libdmlc0 (>= 0.5), libgcc-s1 (>= 3.4), libgomp1 (>= 6), libstdc++6 (>= 13.1)
Size: 1809212
SHA256: 0dd5269478df7f77a96739c1132c46d040097f5daeb91476240867983ab4d403
SHA1: 1cbc7783965b3edf4b653470c5d3a553bc5d0412
MD5sum: de5edadb86689d2674bb04f0e8cb1c25
Description: Scalable and Flexible Gradient Boosting (Executable)
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.
.
This package contains the xgboost binary executable.
Description-md5:
Homepage: https://xgboost.ai/
Section: science
Priority: optional
Filename: pool/main/x/xgboost/xgboost_2.0.3-1_amd64.deb