Repository: incubator-madlib-site
Updated Branches:
  refs/heads/asf-site c148533f0 -> d4f638836


update for 1dot11 release


Project: http://git-wip-us.apache.org/repos/asf/incubator-madlib-site/repo
Commit: 
http://git-wip-us.apache.org/repos/asf/incubator-madlib-site/commit/3cc6056b
Tree: http://git-wip-us.apache.org/repos/asf/incubator-madlib-site/tree/3cc6056b
Diff: http://git-wip-us.apache.org/repos/asf/incubator-madlib-site/diff/3cc6056b

Branch: refs/heads/asf-site
Commit: 3cc6056ba45b614cb12a3fbe5db673ffd24f45d8
Parents: eaa6ce9
Author: Frank McQuillan <fmcquil...@pivotal.io>
Authored: Tue May 16 14:22:37 2017 -0700
Committer: Frank McQuillan <fmcquil...@pivotal.io>
Committed: Tue May 16 14:22:37 2017 -0700

----------------------------------------------------------------------
 design.pdf         | Bin 1814939 -> 1864908 bytes
 documentation.html |  21 +++++++++++++++------
 download.html      |  21 +++++++++++++++++----
 index.html         |  15 ++++++++++++++-
 4 files changed, 46 insertions(+), 11 deletions(-)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/incubator-madlib-site/blob/3cc6056b/design.pdf
----------------------------------------------------------------------
diff --git a/design.pdf b/design.pdf
index 83b1b6e..5b872ed 100644
Binary files a/design.pdf and b/design.pdf differ

http://git-wip-us.apache.org/repos/asf/incubator-madlib-site/blob/3cc6056b/documentation.html
----------------------------------------------------------------------
diff --git a/documentation.html b/documentation.html
index 9c80619..f263ae4 100644
--- a/documentation.html
+++ b/documentation.html
@@ -55,6 +55,7 @@ jQuery(document).ready(function() {
 <p class="body">The primary documentation reference material providing 
detailed information on the functions and algorithms within MADlib as well as 
background theory and references into the literature.</p>
 
 <div class="select-documentation pointer point-down"><select 
id="latest-documentation" name="latest-documentation" size="1"><option 
value="">Older Documentation</option>
+<option value="docs/v1.10/index.html">MADlib v1.10</option>
 <option value="docs/v1.9.1/index.html">MADlib v1.9.1</option>
 <option value="docs/v1.9/index.html">MADlib v1.9</option>
 <option value="docs/v1.8/index.html">MADlib v1.8</option>
@@ -117,7 +118,7 @@ jQuery(document).ready(function() {
        <a href="docs/latest/group__grp__linreg.html#examples">
                <h4 class="title pointer point-right">Linear Regression</h4>
                <p class="body">
-                       Linear regression can be used to model a linear 
relationship of a scalar dependent variable to one or more explanatory 
independent variables.
+                       Linear regression is used to model the linear 
relationship of a scalar dependent variable to one or more explanatory 
independent variables.
                                        </p>
        </a>
 </div>
@@ -133,7 +134,7 @@ jQuery(document).ready(function() {
        <a href="docs/latest/group__grp__summary.html#examples">
                <h4 class="title pointer point-right">Summary</h4>
                <p class="body">
-                       The summary function provides summary statistics for 
any data table.  These statistics include statistics such as: number of 
distinct values, number of missing values, mean, variance, min, max, most 
frequent values, quantiles, etc.
+                       The summary function provides summary statistics for 
any data table.  These statistics include: number of distinct values, number of 
missing values, mean, variance, min, max, most frequent values, quantiles, etc.
                                        </p>
        </a>
 </div>
@@ -141,7 +142,7 @@ jQuery(document).ready(function() {
        <a href="docs/latest/group__grp__logreg.html#examples">
                <h4 class="title pointer point-right">Logistic Regression</h4>
                <p class="body">
-                       Logistic regression can be used to predict a binary 
outcome of a dependent variable from one or more explanatory independent 
variables.
+                       Logistic regression is used to predict a binary outcome 
of a dependent variable from one or more explanatory independent variables.
                                        </p>
        </a>
 </div>
@@ -149,7 +150,7 @@ jQuery(document).ready(function() {
        <a href="docs/latest/group__grp__elasticnet.html#examples">
                <h4 class="title pointer point-right">Elastic Net 
Regularization</h4>
                <p class="body">
-                       Elastic Net regularization is a regularization 
technique that can be implemented for either linear or logistic regression to 
help build a more robust model in the event of large numbers of explanatory 
independent variables.
+                       Elastic Net regularization is a technique that can be 
applied to either linear or logistic regression to build a more robust model, 
in the event of large numbers of explanatory independent variables.
                                        </p>
        </a>
 </div>
@@ -165,7 +166,7 @@ jQuery(document).ready(function() {
        <a href="docs/latest/group__grp__assoc__rules.html#examples">
                <h4 class="title pointer point-right">Apriori</h4>
                <p class="body">
-                       Apriori, is a technique for evaluating frequent 
item-sets, which allows analysis of what events tend to occur together.  For 
instance what items customers frequently purchase in a single transaction.
+                       Apriori is a technique for evaluating frequent 
item-sets, which allows analysis of what events tend to occur together.  For 
example, which items do customers frequently purchase together in a single 
transaction?
                                        </p>
        </a>
 </div>
@@ -173,7 +174,15 @@ jQuery(document).ready(function() {
        <a href="docs/latest/group__grp__kmeans.html#examples">
                <h4 class="title pointer point-right">k-Means</h4>
                <p class="body">
-                       k-Means is a clustering method used to identify regions 
of similarity within a dataset.   It can be used for many types of analysis 
including customer segmentation analysis.
+                       k-Means is a clustering method used to identify regions 
of similarity within a dataset.   It can be used for many types of analysis 
including customer segmentation.
+                                       </p>
+       </a>
+</div>
+<div class="post-216 post type-post status-publish format-standard hentry 
category-use-case span4 simple-box ">
+       <a 
href="http://madlib.incubator.apache.org/docs/latest/group__grp__sssp.html#examples";>
+               <h4 class="title pointer point-right">Shortest Path in a 
Graph</h4>
+               <p class="body">
+                       Finds a path from a source vertex to every other vertex 
in the graph.   Example uses include vehicle routing/navigation, degrees of 
separation in a social network and minimum delay path in a telecommunications 
network.
                                        </p>
        </a>
 </div>

http://git-wip-us.apache.org/repos/asf/incubator-madlib-site/blob/3cc6056b/download.html
----------------------------------------------------------------------
diff --git a/download.html b/download.html
index 4fd7d14..eb2fb60 100644
--- a/download.html
+++ b/download.html
@@ -48,7 +48,7 @@
                                        <h2>Current Release</h2>
                                </div>
                                <div class="span8">
-                                       <h3>v1.10</h3>
+                                       <h3>v1.11</h3>
                                        <h4>Source Code and Binaries</h4>
 
                                        <p>MADlib<sup>&reg;</sup> source code 
and binaries are available from the Apache distribution site.</p>
@@ -56,9 +56,9 @@
                                        <p class="no-y-space"><strong>Latest 
stable release:</strong></p>
 
                                        <ul>
-                                               <li><a 
onclick="_gaq.push(['_trackEvent', 'Outbound Links', 'Click', 
'v1.10-incubating.tar.gz']);" 
href="https://dist.apache.org/repos/dist/release/incubator/madlib/1.10.0-incubating/";>Source
 code tar.gz</a></li>
-                                               <li><a 
onclick="_gaq.push(['_trackEvent', 'Outbound Links', 'Click', 
'madlib-1.10-Linux.rpm']);" 
href="https://dist.apache.org/repos/dist/release/incubator/madlib/1.10.0-incubating/";>Linux</a>
 — CentOS / Red Hat 5 and higher (64 bit).  For all supported platforms.</li>
-                                   <li><a 
href="https://dist.apache.org/repos/dist/release/incubator/madlib/1.10.0-incubating/";
 onclick="_gaq.push(['_trackEvent', 'Outbound Links', 'Click', 
'madlib-1.10-Darwin.dmg']);">Mac OS X</a> — OS 10.6 and higher.  For 
PostgreSQL 9.5 and 9.6.</li>
+                                               <li><a 
onclick="_gaq.push(['_trackEvent', 'Outbound Links', 'Click', 
'v1.11-incubating.tar.gz']);" 
href="https://dist.apache.org/repos/dist/release/incubator/madlib/1.11-incubating/";>Source
 code tar.gz</a></li>
+                                               <li><a 
onclick="_gaq.push(['_trackEvent', 'Outbound Links', 'Click', 
'madlib-1.11-Linux.rpm']);" 
href="https://dist.apache.org/repos/dist/release/incubator/madlib/1.11-incubating/";>Linux</a>
 — CentOS / Red Hat 5 and higher (64 bit).  For all supported platforms.</li>
+                                   <li><a 
href="https://dist.apache.org/repos/dist/release/incubator/madlib/1.11-incubating/";
 onclick="_gaq.push(['_trackEvent', 'Outbound Links', 'Click', 
'madlib-1.11-Darwin.dmg']);">Mac OS X</a> — OS 10.6 and higher.  For 
PostgreSQL 9.5 and 9.6.</li>
                                        </ul>
                                </div>
                        </div>
@@ -85,6 +85,19 @@
                                        <h2>Previous Apache Releases</h2>
                                </div>
                                <div class="span8">
+                                       <h3>v1.10</h3>
+                                       <h4>Source Code and Binaries</h4>
+
+                                       <p>MADlib<sup>&reg;</sup> source code 
and binaries are available from the Apache distribution site.</p>
+
+                                       <p class="no-y-space"><strong>Release 
artifacts:</strong></p>
+
+                                       <ul>
+                                               <li><a 
onclick="_gaq.push(['_trackEvent', 'Outbound Links', 'Click', 
'v1.10-incubating.tar.gz']);" 
href="https://dist.apache.org/repos/dist/release/incubator/madlib/1.10.0-incubating/";>Source
 code tar.gz</a></li>
+                                               <li><a 
onclick="_gaq.push(['_trackEvent', 'Outbound Links', 'Click', 
'madlib-1.10-Linux.rpm']);" 
href="https://dist.apache.org/repos/dist/release/incubator/madlib/1.10.0-incubating/";>Linux</a>
 — CentOS / Red Hat 5 and higher (64 bit).  For all supported platforms.</li>
+                                   <li><a 
href="https://dist.apache.org/repos/dist/release/incubator/madlib/1.10.0-incubating/";
 onclick="_gaq.push(['_trackEvent', 'Outbound Links', 'Click', 
'madlib-1.10-Darwin.dmg']);">Mac OS X</a> — OS 10.6 and higher.  For 
PostgreSQL 9.5 and 9.6.</li>
+                                       </ul>
+
                                        <h3>v1.9.1</h3>
                                        <h4>Source Code and Binaries</h4>
 

http://git-wip-us.apache.org/repos/asf/incubator-madlib-site/blob/3cc6056b/index.html
----------------------------------------------------------------------
diff --git a/index.html b/index.html
index 253687c..9ae6eb9 100644
--- a/index.html
+++ b/index.html
@@ -51,7 +51,20 @@
        <div class="primary-content">
     <div class="container">
                <div class="post">
-                       <h2>MADlib 1.10 Release (GA)</h2>
+                       <h2>MADlib 1.11 Release (GA)</h2>
+                       On May. 16, 2017, MADlib completed its fifth release as 
an Apache Software Foundation incubator project.</a>
+       <p dir="ltr"></p>
+       <p dir="ltr">New features include:  PageRank for graph analytics, 
grouping support for single source shortest path, array and sparse vector 
output for pivot, various updates for Apache Top Level Project readiness.</p>
+       <p dir="ltr">You are invited to <a 
href="https://dist.apache.org/repos/dist/release/incubator/madlib/1.11-incubating//";>download
 the 1.11 release</a> and <a 
href="https://github.com/apache/incubator-madlib/blob/master/RELEASE_NOTES";>review
 the release notes.</a></p>
+
+       &nbsp;                  </div>
+       </div>
+       <div class="container">
+       <div class="row">
+       <div class="span8 news-posts por">
+               <div class="container">
+               <div class="post">
+                   <h2>MADlib 1.10 Release (GA)</h2>
                        On Mar. 10, 2017, MADlib completed its fourth release 
as an Apache Software Foundation incubator project.</a>
        <p dir="ltr"></p>
        <p dir="ltr">New features include:  single source shortest path for 
graph analytics, all new encoding categorical variables, K-nearest 
neighbors.</p>

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