libfann 2.1.0~beta~dfsg-8 source package in Ubuntu

Changelog

libfann (2.1.0~beta~dfsg-8) unstable; urgency=low

  * debian/control:
    - Build-Depend on swig (>= 2.0.4-2) instead of swig2.0; the former has now
      taken over the /usr/bin/swig symlink. Closes: #634430
 -- Ubuntu Archive Auto-Sync <email address hidden>   Mon,  17 Oct 2011 11:05:13 +0000

Upload details

Uploaded by:
Ubuntu Archive Auto-Sync on 2011-10-17
Uploaded to:
Precise
Original maintainer:
Christian Kastner
Component:
universe
Architectures:
any
Section:
libdevel
Urgency:
Low Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Quantal release on 2012-04-26 universe libdevel
Precise release on 2011-10-17 universe libdevel

Downloads

File Size MD5 Checksum
libfann_2.1.0~beta~dfsg.orig.tar.gz 2.9 MiB b79aef1c43e2eb99bfa969d3ea701e9b
libfann_2.1.0~beta~dfsg-8.debian.tar.gz 16.0 KiB d941f190bda9a81e542151aa72950d2a
libfann_2.1.0~beta~dfsg-8.dsc 2.0 KiB f1853db31083a528bcd253006f1200d1

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Binary packages built by this source

libfann-dbg: Debugging symbols 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. Cross-platform execution in both fixed
 and floating point are supported. It includes a framework for easy
 handling of training data sets. It is easy to use, versatile, well
 documented, and fast. A Python binding is available, and bindings for
 PHP, C++, .NET, Delphi, Octave, Ruby, Pure Data and Mathematica
 can be downloaded from FANN's homepage.
 .
 This package contains the debugging symbols for the libfann library.

libfann-dev: Development libraries and header files 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. Cross-platform execution in both fixed
 and floating point are supported. It includes a framework for easy
 handling of training data sets. It is easy to use, versatile, well
 documented, and fast. A Python binding is available, and bindings for
 PHP, C++, .NET, Delphi, Octave, Ruby, Pure Data and Mathematica
 can be downloaded from FANN's homepage.
 .
 This package contains the header files and static libraries which are
 needed for developing libfann applications.

libfann-doc: API documentation 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. Cross-platform execution in both fixed
 and floating point are supported. It includes a framework for easy
 handling of training data sets. It is easy to use, versatile, well
 documented, and fast. A Python binding is available, and bindings for
 PHP, C++, .NET, Delphi, Octave, Ruby, Pure Data and Mathematica
 can be downloaded from FANN's homepage.
 .
 This package contains the API documentation in HTML form and some
 introductory material in text form. It also contains examples for
 the library and the Python wrapper.

libfann2: Fast Artificial Neural Network Library

 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. Cross-platform execution in both fixed
 and floating point are supported. It includes a framework for easy
 handling of training data sets. It is easy to use, versatile, well
 documented, and fast. A Python binding is available, and bindings for
 PHP, C++, .NET, Delphi, Octave, Ruby, Pure Data and Mathematica
 can be downloaded from FANN's homepage.
 .
 This package contains the shared libraries.

python-pyfann: 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. Cross-platform execution in both fixed
 and floating point are supported. It includes a framework for easy
 handling of training data sets. It is easy to use, versatile, well
 documented, and fast. A Python binding is available, and bindings for
 PHP, C++, .NET, Delphi, Octave, Ruby, Pure Data and Mathematica
 can be downloaded from FANN's homepage.
 .
 This package contains the Python wrapper for FANN.

python-pyfann-dbg: Debugging symbols for FANN Python wrapper

 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. Cross-platform execution in both fixed
 and floating point are supported. It includes a framework for easy
 handling of training data sets. It is easy to use, versatile, well
 documented, and fast. A Python binding is available, and bindings for
 PHP, C++, .NET, Delphi, Octave, Ruby, Pure Data and Mathematica
 can be downloaded from FANN's homepage.
 .
 This package contains the debugging symbols for the FANN Python wrapper.