How to Install and Uninstall python3-catch22.x86_64 Package on Fedora 35
Last updated: January 10,2025
1. Install "python3-catch22.x86_64" package
Please follow the steps below to install python3-catch22.x86_64 on Fedora 35
$
sudo dnf update
Copied
$
sudo dnf install
python3-catch22.x86_64
Copied
2. Uninstall "python3-catch22.x86_64" package
Please follow the instructions below to uninstall python3-catch22.x86_64 on Fedora 35:
$
sudo dnf remove
python3-catch22.x86_64
Copied
$
sudo dnf autoremove
Copied
3. Information about the python3-catch22.x86_64 package on Fedora 35
Last metadata expiration check: 2:59:22 ago on Wed Sep 7 08:25:01 2022.
Available Packages
Name : python3-catch22
Version : 0.2.1
Release : 1.fc35
Architecture : x86_64
Size : 52 k
Source : catch22-0.2.1-1.fc35.src.rpm
Repository : fedora
Summary : catch22 for Python
URL : https://github.com/chlubba/catch22
License : GPLv3
Description :
: catch22 is a collection of 22 time-series features coded in C that can be run
: from Python, R, Matlab, and Julia. The catch22 features are a high-performing
: subset of the over 7000 features in hctsa.
:
: Features were selected based on their classification performance across a
: collection of 93 real-world time-series classification problems, as described
: in our open-access paper:
:
: - Lubba et al. (2019). catch22: CAnonical Time-series CHaracteristics
: (https://doi.org/10.1007/s10618-019-00647-x)
:
: The computational pipeline used to generate the catch22 feature set is in the
: op_importance(https://github.com/chlubba/op_importance) repository.
:
: For catch22-related information and resources, including a list of publications
: using catch22, see the catch22 wiki (https://github.com/chlubba/catch22/wiki).
Available Packages
Name : python3-catch22
Version : 0.2.1
Release : 1.fc35
Architecture : x86_64
Size : 52 k
Source : catch22-0.2.1-1.fc35.src.rpm
Repository : fedora
Summary : catch22 for Python
URL : https://github.com/chlubba/catch22
License : GPLv3
Description :
: catch22 is a collection of 22 time-series features coded in C that can be run
: from Python, R, Matlab, and Julia. The catch22 features are a high-performing
: subset of the over 7000 features in hctsa.
:
: Features were selected based on their classification performance across a
: collection of 93 real-world time-series classification problems, as described
: in our open-access paper:
:
: - Lubba et al. (2019). catch22: CAnonical Time-series CHaracteristics
: (https://doi.org/10.1007/s10618-019-00647-x)
:
: The computational pipeline used to generate the catch22 feature set is in the
: op_importance(https://github.com/chlubba/op_importance) repository.
:
: For catch22-related information and resources, including a list of publications
: using catch22, see the catch22 wiki (https://github.com/chlubba/catch22/wiki).