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python-fann2 package

python-fann2 1:1.0.7-4build1 source package in Ubuntu

Changelog

python-fann2 (1:1.0.7-4build1) xenial; urgency=medium

  * No-change rebuild to drop python3.4 support.

 -- Matthias Klose <email address hidden>  Mon, 18 Jan 2016 20:43:03 +0000

Upload details

Uploaded by:
Matthias Klose
Uploaded to:
Xenial
Original maintainer:
Christian Kastner
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Xenial release universe misc

Downloads

File Size SHA-256 Checksum
python-fann2_1.0.7.orig.tar.gz 62.5 KiB 45915760d411da225c228cac828c7523a06e6e0f045368e4bd345eab118cc933
python-fann2_1.0.7-4build1.debian.tar.xz 4.4 KiB af71b0d6ddc1b2dd28fbd230617e30d46b5d68f5caa21748c7ebf536c880ef84
python-fann2_1.0.7-4build1.dsc 2.1 KiB 2e8f0935a088c78d716e596dab344105903e84d9cbff32a213e9c7591636f670

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Binary packages built by this source

python-fann2: Python bindings for FANN

 Fast Artificial Neural Network Library is a free open source neural network
 library, which implements multilayer artificial neural networks in C with
 support for both fully connected and sparsely connected networks.
 .
 This package contains the Python bindings for FANN.

python-pyfann: deprecated Python bindings for FANN

 Fast Artificial Neural Network Library is a free open source neural network
 library, which implements multilayer artificial neural networks in C with
 support for both fully connected and sparsely connected networks.
 .
 This package provides the Python bindings for FANN under their former name
 "pyfann". However, these are deprecated, and you should migrate your code
 to use the bindings from python-fann2 instead.

python3-fann2: Python 3 bindings for FANN

 Fast Artificial Neural Network Library is a free open source neural network
 library, which implements multilayer artificial neural networks in C with
 support for both fully connected and sparsely connected networks.
 .
 This package contains the Python 3 bindings for FANN.