Updates to correct date and formatting
diff --git a/index.html b/index.html
index 163f00a..06bff46 100644
--- a/index.html
+++ b/index.html
@@ -62,10 +62,12 @@
academic research, and open-source development.
</p>
<h2>News</h2>
- <p><b>October 9th 2013:</b>
- MADlib v1.3 is out! New features include Stratification for Cox
+ <p><b style="color:red">October 8th 2013: MADlib v1.3 is out!</b> <br>
+ New features include Stratification for Cox
Proportional Hazards along with testing the PH assumption. It also
includes better NULL value handling and multiple bug fixes.
+ </p>
+ <p>
<a href="#binaries">Binary packages</a> are available for
CentOS/RedHat and for Mac OS X. On other platforms, MADlib can be <a
href="https://github.com/madlib/madlib/wiki/Building-MADlib-from-Source">
@@ -75,9 +77,9 @@
and Greenplum installations. For a list of new features, bug fixes,
and known issues, please refer to the
<a href="https://github.com/madlib/madlib/blob/v1.3/ReleaseNotes.txt">Release Notes</a>.
-
- As always, the <a href="http://groups.google.com/group/madlib-user-forum">MADlib forum</a>
- is open for questions and discussions. Try it out and let us know about your feedback!
+ <br>
+ As always, the <a href="http://groups.google.com/group/madlib-user-forum">MADlib forum</a>
+ is open for questions and discussions. Try it out and let us know about your feedback!
</p>
<p><b>September 10th 2013:</b>
@@ -87,10 +89,11 @@
<p><b>August 9th 2013:</b>
MADlib v1.1 is out!
</p>
- <p><b>July 5th 2013:</b>
+
+ <p><b>July 5th 2013:</b>
MADlib v1.0 is out! </p>
- <p><b>May 9th 2013:</b>
+<!-- <p><b>May 9th 2013:</b>
MADlib v0.7 is out! </p>
<p><b>April 9th 2012:</b>
@@ -119,7 +122,8 @@
<p><b>Apr 6th 2012:</b>
<a href="http://db.cs.berkeley.edu/jmh/">Joe Hellerstein</a> writes about MADlib <a href="http://wp.sigmod.org/?page_id=344">for the ACM SIGMOD blog</a>.
</p>
- <h2>History</h2>
+ -->
+ <h2>History</h2>
<p>MADlib grew out of discussions between database-engine developers, data
scientists, IT architects and academics, who were interested in new
approaches to scalable, sophisticated in-database analytics. These
