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Posted to commits@lucene.apache.org by bu...@apache.org on 2016/04/08 20:32:08 UTC
svn commit: r985114 - in /websites/staging/lucene/trunk/content: ./
core/corenews.html
Author: buildbot
Date: Fri Apr 8 18:32:07 2016
New Revision: 985114
Log:
Staging update by buildbot for lucene
Modified:
websites/staging/lucene/trunk/content/ (props changed)
websites/staging/lucene/trunk/content/core/corenews.html
Propchange: websites/staging/lucene/trunk/content/
------------------------------------------------------------------------------
--- cms:source-revision (original)
+++ cms:source-revision Fri Apr 8 18:32:07 2016
@@ -1 +1 @@
-1738275
+1738280
Modified: websites/staging/lucene/trunk/content/core/corenews.html
==============================================================================
--- websites/staging/lucene/trunk/content/core/corenews.html (original)
+++ websites/staging/lucene/trunk/content/core/corenews.html Fri Apr 8 18:32:07 2016
@@ -231,7 +231,7 @@ h2:hover > .headerlink, h3:hover > .head
<p>Java 8 is the minimum Java version required.</p>
</li>
<li>
-<p>Dimensional points, replacing legacy numeric fields, provides fast and space-efficient support for both single- and multi-dimension range and shape filtering. This includes numeric (int, float, long, double), InetAddress, BigInteger and binary range filtering, as well as geo-spatial shape search over indexed 2D LatLonPoints. See https://www.elastic.co/blog/lucene-points-6.0 for details. Dependent classes and modules (e.g., MemoryIndex, Spatial Strategies, Join module) have been refactored to use new point types.</p>
+<p>Dimensional points, replacing legacy numeric fields, provides fast and space-efficient support for both single- and multi-dimension range and shape filtering. This includes numeric (int, float, long, double), InetAddress, BigInteger and binary range filtering, as well as geo-spatial shape search over indexed 2D LatLonPoints. See <a href="https://www.elastic.co/blog/lucene-points-6.0">this blog post</a> for details. Dependent classes and modules (e.g., MemoryIndex, Spatial Strategies, Join module) have been refactored to use new point types.</p>
</li>
<li>
<p>Lucene classification module now works on Lucene Documents using a KNearestNeighborClassifier or SimpleNaiveBayesClassifier.</p>