How to Install and Uninstall python36-fann2 Package on openSuSE Tumbleweed
Last updated: November 22,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "python36-fann2" package
Please follow the guidelines below to install python36-fann2 on openSuSE Tumbleweed
$
sudo zypper refresh
Copied
$
sudo zypper install
python36-fann2
Copied
2. Uninstall "python36-fann2" package
This tutorial shows how to uninstall python36-fann2 on openSuSE Tumbleweed:
$
sudo zypper remove
python36-fann2
Copied
3. Information about the python36-fann2 package on openSuSE Tumbleweed
Information for package python36-fann2:
---------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python36-fann2
Version : 1.1.2-2.8
Arch : x86_64
Vendor : openSUSE
Installed Size : 338,5 KiB
Installed : No
Status : not installed
Source package : python-fann2-1.1.2-2.8.src
Summary : Fast Artificial Neural Network Library (fann) bindings
Description :
Python bindings for Fast Artificial Neural Networks 2.2.0 (FANN >= 2.2.0)
that implements multilayer artificial neural networks with support for both
fully-connected and sparsely-connected networks. It includes a framework
for easy handling of training data sets.
These are the original python bindings included with FANN 2.1.0beta and
updated to include support for python 2.x/3.x .
---------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python36-fann2
Version : 1.1.2-2.8
Arch : x86_64
Vendor : openSUSE
Installed Size : 338,5 KiB
Installed : No
Status : not installed
Source package : python-fann2-1.1.2-2.8.src
Summary : Fast Artificial Neural Network Library (fann) bindings
Description :
Python bindings for Fast Artificial Neural Networks 2.2.0 (FANN >= 2.2.0)
that implements multilayer artificial neural networks with support for both
fully-connected and sparsely-connected networks. It includes a framework
for easy handling of training data sets.
These are the original python bindings included with FANN 2.1.0beta and
updated to include support for python 2.x/3.x .