How to Install and Uninstall vowpal-wabbit-dbg Package on Ubuntu 21.10 (Impish Indri)

Last updated: November 26,2024

1. Install "vowpal-wabbit-dbg" package

Please follow the guidance below to install vowpal-wabbit-dbg on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install vowpal-wabbit-dbg

2. Uninstall "vowpal-wabbit-dbg" package

This guide let you learn how to uninstall vowpal-wabbit-dbg on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove vowpal-wabbit-dbg $ sudo apt autoclean && sudo apt autoremove

3. Information about the vowpal-wabbit-dbg package on Ubuntu 21.10 (Impish Indri)

Package: vowpal-wabbit-dbg
Architecture: amd64
Version: 8.6.1.dfsg1-1build3
Priority: extra
Section: universe/debug
Source: vowpal-wabbit
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Yaroslav Halchenko
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 600
Depends: vowpal-wabbit (= 8.6.1.dfsg1-1build3)
Filename: pool/universe/v/vowpal-wabbit/vowpal-wabbit-dbg_8.6.1.dfsg1-1build3_amd64.deb
Size: 86852
MD5sum: 2b4429c03ed923d8959282ad01df5291
SHA1: b6597b96d7b115a8327f1462330f762970477cd9
SHA256: 4d4b0680c141bd99c7296f68be9c8da70269e83a0896ebaac406eb59995973ab
SHA512: d609318d5898533a87ad9fba464c965ebd45dd3b98cca845cdb2e28c7d912ac1e696b109be281b53decf4c96bf3cde302dc4fae4f25469aba767f03bf24e8f92
Homepage: http://hunch.net/~vw/
Description-en: fast and scalable online machine learning algorithm - debug files
Vowpal Wabbit is a fast online machine learning algorithm. The core
algorithm is specialist gradient descent (GD) on a loss function
(several are available). VW features:
- flexible input data specification
- speedy learning
- scalability (bounded memory footprint, suitable for distributed
computation)
- feature pairing
.
This package contains debug symbols for the binaries shipped by vowpal-wabbit
packages.
Description-md5: d729747f82339115be8b4572df9d67eb
Build-Ids: 038d2d0b327b3c5dc27280e6a9272c95827bfa92 1718f0fb3847c725c7c64ce0a453201a211054db 2b256a5b5743b19b2430d133443cd5d0343368d0 36ff120b9295e888762778430ec6d5c15a9f58b7 492d26e1b995a86f58a75708d3d9b442ac3d6d4e 97bc8489ae9626fe82f3c2743928e80af482da82 dcf0a1388a8a091708cbbabf77bf9f5d2a7125dc ddfe6b002d7874d8fbdd16f814eb04b1c72f07fa