SPECS: perl-AI-NeuralNet-Mesh.spec - formatting

[czucz]

Author: czucz                        Date: Tue Nov 15 20:55:38 2005 GMT
Module: SPECS                         Tag: HEAD
---- Log message:
- formatting

---- Files affected:
SPECS:
   perl-AI-NeuralNet-Mesh.spec (1.20 -> 1.21) 

---- Diffs:

================================================================
Index: SPECS/perl-AI-NeuralNet-Mesh.spec
diff -u SPECS/perl-AI-NeuralNet-Mesh.spec:1.20 SPECS/perl-AI-NeuralNet-Mesh.spec:1.21
--- SPECS/perl-AI-NeuralNet-Mesh.spec:1.20	Sat Nov 27 18:23:25 2004
+++ SPECS/perl-AI-NeuralNet-Mesh.spec	Tue Nov 15 21:55:32 2005
@@ -23,17 +23,17 @@
 BuildRoot:	%{tmpdir}/%{name}-%{version}-root-%(id -u -n)
 
 %description
-AI::NeuralNet::Mesh is an optimized, accurate neural network Mesh.
-It was designed with accuracy and speed in mind.
+AI::NeuralNet::Mesh is an optimized, accurate neural network Mesh. It
+was designed with accuracy and speed in mind.
 
 This network model is very flexible. It will allow for classic binary
-operation or any range of integer or floating-point inputs you care
-to provide. With this you can change activation types on a per node
-or per layer basis (you can even include your own anonymous subs as
+operation or any range of integer or floating-point inputs you care to
+provide. With this you can change activation types on a per node or
+per layer basis (you can even include your own anonymous subs as
 activation types). You can add sigmoid transfer functions and control
-the threshold. You can learn data sets in batch, and load CSV data
-set files. You can do almost anything you need to with this module.
-This code is designed to be flexible.
+the threshold. You can learn data sets in batch, and load CSV data set
+files. You can do almost anything you need to with this module. This
+code is designed to be flexible.
 
 %description -l pl
 AI::NeuralNet::Mesh to zoptymalizowana, dokładna sieć neuronowa Mesh.
@@ -88,6 +88,9 @@
 All persons listed below can be reached at <cvs_login>@pld-linux.org
 
 $Log$
+Revision 1.21  2005/11/15 20:55:32  czucz
+- formatting
+
 Revision 1.20  2004/11/27 17:23:25  zbyniu
 - BR: unzip
 
================================================================

---- CVS-web:
    http://cvs.pld-linux.org/SPECS/perl-AI-NeuralNet-Mesh.spec?r1=1.20&r2=1.21&f=u