Ubuntu
python-fann2 package

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

Changelog

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

  * d/control:
    - Fix python substvar for python-fann2. Discovered by ci.debian.net
    - Switch Vcs-Browser from gitweb to cgit

 -- Christian Kastner <email address hidden>  Thu, 22 Oct 2015 09:27:38 +0200

Upload details

Uploaded by:
Christian Kastner
Uploaded to:
Sid
Original maintainer:
Christian Kastner
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

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Series Pocket Published Component Section

Downloads

File Size SHA-256 Checksum
python-fann2_1.0.7-4.dsc 2.1 KiB 775bb574217dfe862bb84f2abe2d4c1ef7459bf797ca8920132b3c2546b8b333
python-fann2_1.0.7.orig.tar.gz 62.5 KiB 45915760d411da225c228cac828c7523a06e6e0f045368e4bd345eab118cc933
python-fann2_1.0.7-4.debian.tar.xz 4.3 KiB 208c5edaac701a1f5ad3a1200d641dd52db913e2e2440c6a0cde5219de89b225

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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.