r37237 - in /packages/timbl/trunk/debian: changelog control

[joostvb at users.alioth.debian.org]

Author: joostvb
Date: Sun Jan 23 21:21:58 2011
New Revision: 37237

URL: http://svn.debian.org/wsvn/debian-science/?sc=1&rev=37237
Log:
control: Enhance layout of description, thanks Kurt Roeckx.

Modified:
    packages/timbl/trunk/debian/changelog
    packages/timbl/trunk/debian/control

Modified: packages/timbl/trunk/debian/changelog
URL: http://svn.debian.org/wsvn/debian-science/packages/timbl/trunk/debian/changelog?rev=37237&op=diff
==============================================================================
--- packages/timbl/trunk/debian/changelog (original)
+++ packages/timbl/trunk/debian/changelog Sun Jan 23 21:21:58 2011
@@ -1,9 +1,10 @@
-timbl (6.3.2-2) UNRELEASED; urgency=low
+timbl (6.3.2-3) UNRELEASED; urgency=low
 
   * NOT RELEASED YET
   * control: Add pkg-config to build-depends, thanks Kurt Roeckx.
+  * control: Enhance layout of description, thanks Kurt Roeckx.
 
- -- Joost van Baal <joostvb at debian.org>  Sun, 23 Jan 2011 22:17:02 +0100
+ -- Joost van Baal <joostvb at debian.org>  Sun, 23 Jan 2011 22:21:34 +0100
 
 timbl (6.3.2-1) unstable; urgency=low
 

Modified: packages/timbl/trunk/debian/control
URL: http://svn.debian.org/wsvn/debian-science/packages/timbl/trunk/debian/control?rev=37237&op=diff
==============================================================================
--- packages/timbl/trunk/debian/control (original)
+++ packages/timbl/trunk/debian/control Sun Jan 23 21:21:58 2011
@@ -21,15 +21,18 @@
  many other domains where classification tasks are learned from examples.  It
  is an efficient implementation of k-nearest neighbor classifier.
  .
- TiMBL's features are: * Fast, decision-tree-based implementation of k-nearest
- neighbor classification; * Implementations of IB1 and IB2, IGTree, TRIBL, and
- TRIBL2 algorithms; * Similarity metrics: Overlap, MVDM, Jeffrey Divergence,
- Dot product, Cosine; * Feature weighting metrics: information gain, gain ratio,
- chi squared, shared variance; * Distance weighting metrics: inverse, inverse
- linear, exponential decay; * Extensive verbosity options to inspect nearest
- neighbor sets; * Server functionality and extensive API; * Fast leave-one-out
- testing and internal cross-validation; and Handles user-defined example
- weighting.
+ TiMBL's features are:
+  * Fast, decision-tree-based implementation of k-nearest neighbor
+    classification;
+  * Implementations of IB1 and IB2, IGTree, TRIBL, and TRIBL2 algorithms;
+  * Similarity metrics: Overlap, MVDM, Jeffrey Divergence, Dot product, Cosine;
+  * Feature weighting metrics: information gain, gain ratio, chi squared,
+    shared variance;
+  * Distance weighting metrics: inverse, inverse linear, exponential decay;
+  * Extensive verbosity options to inspect nearest neighbor sets;
+  * Server functionality and extensive API;
+  * Fast leave-one-out testing and internal cross-validation;
+  * and Handles user-defined example weighting.
  .
  TiMBL is a product of the ILK Research Group (Tilburg University, The
  Netherlands) and the CLiPS Research Centre (University of Antwerp, Belgium).