How to Install and Uninstall python3-logreduce Package on openSuSE Tumbleweed
Last updated: December 23,2024
1. Install "python3-logreduce" package
Please follow the step by step instructions below to install python3-logreduce on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python3-logreduce
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2. Uninstall "python3-logreduce" package
This tutorial shows how to uninstall python3-logreduce on openSuSE Tumbleweed:
$
sudo zypper remove
python3-logreduce
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3. Information about the python3-logreduce package on openSuSE Tumbleweed
Information for package python3-logreduce:
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Repository : openSUSE-Tumbleweed-Oss
Name : python3-logreduce
Version : 0.6.1-2.8
Arch : noarch
Vendor : openSUSE
Installed Size : 297.0 KiB
Installed : No
Status : not installed
Source package : python-logreduce-0.6.1-2.8.src
Upstream URL : https://logreduce.softwarefactory-project.io/
Summary : Log file anomaly extractor
Description :
Based on success logs, logreduce highlights useful text in failed logs.
The goal is to save time in finding a failure's root cause.
On average, learning run at 2000 lines per second, and
testing run at 1300 lines per seconds.
logreduce uses a *model* to learn successful logs and detect novelties in
failed logs:
* Random words are manually removed using regular expression
* Then lines are converted to a matrix of token occurrences
(using **HashingVectorizer**),
* An unsupervised learner implements neighbor searches
(using **NearestNeighbors**).
------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python3-logreduce
Version : 0.6.1-2.8
Arch : noarch
Vendor : openSUSE
Installed Size : 297.0 KiB
Installed : No
Status : not installed
Source package : python-logreduce-0.6.1-2.8.src
Upstream URL : https://logreduce.softwarefactory-project.io/
Summary : Log file anomaly extractor
Description :
Based on success logs, logreduce highlights useful text in failed logs.
The goal is to save time in finding a failure's root cause.
On average, learning run at 2000 lines per second, and
testing run at 1300 lines per seconds.
logreduce uses a *model* to learn successful logs and detect novelties in
failed logs:
* Random words are manually removed using regular expression
* Then lines are converted to a matrix of token occurrences
(using **HashingVectorizer**),
* An unsupervised learner implements neighbor searches
(using **NearestNeighbors**).