Repository: mahout
Updated Branches:
  refs/heads/master 2483037dc -> 697eae12c


http://git-wip-us.apache.org/repos/asf/mahout/blob/697eae12/website/front/developers/issue-tracker.md
----------------------------------------------------------------------
diff --git a/website/front/developers/issue-tracker.md 
b/website/front/developers/issue-tracker.md
deleted file mode 100644
index 8945342..0000000
--- a/website/front/developers/issue-tracker.md
+++ /dev/null
@@ -1,46 +0,0 @@
----
-layout: default
-title: Issue Tracker
-theme: 
-    name: mahout2
----
-
-# Issue tracker
-
-
-Mahout's issue tracker is located 
[here](http://issues.apache.org/jira/browse/MAHOUT).
-For most changes (apart from trivial stuff) Mahout works according to a 
review-then-commit model.
-This means anything that is to be added is first presented as a patch in the 
issue tracker. All conversations in the issue tracker are automatically
-echoed on the developer mailing list and people tend to respond or continue
-conversations there rather in the issue tracker, so in order to follow an
-issue you also have to read to the <a 
href="http://mahout.apache.org/general/mailing-lists,-irc-and-archives.html";>mailing
 lists</a>. 
-
-An issue does not literally have to be an issue. It could be a wish, task,
-bug report, etc. and it does not have to contain a patch.
-
-Mahout uses 
[JIRA](https://confluence.atlassian.com/display/JIRA/JIRA+Documentation) by 
Atlassian.
-
-<a name="IssueTracker-Bestpractise"></a>
-#### Best practices
-
-Don't create duplicate issues. Make sure your problem is a problem and that
-nobody else already fixed it. If you are new to the project, it is often
-preferred that the subject of an issue is discussed on one of our mailing
-lists before an issue is created - in particular when it comes to adding new 
functionality.
-
-Quote only what it is you are responding to in comments.
-
-Patches should be created at trunk or trunk parent level and if possible be
-a single uncompressed text file so it is easy to inspect the patch in a web
-browser. (See [Patch Check List](/developers/patch-check-list.html)
-.)
-
-Use the issue identity when referring to an issue in any discussion.
-"MAHOUT-n" and not "mahout-n" or "n". MAHOUT-1 would automatically be
-linked to [MAHOUT-1](http://issues.apache.org/jira/browse/MAHOUT-1)
- in a better world.
-
-A note to committers: Make sure to mention the issue id in each commit. Not 
only has
-JIRA the capability of auto-linking commits to the issue they are related to
-that way, it also makes it easier to get further information for a specific 
commit
-when browsing through the commit log and within the commit mailing list.

http://git-wip-us.apache.org/repos/asf/mahout/blob/697eae12/website/front/developers/key-concepts.md
----------------------------------------------------------------------
diff --git a/website/front/developers/key-concepts.md 
b/website/front/developers/key-concepts.md
deleted file mode 100644
index 9071bab..0000000
--- a/website/front/developers/key-concepts.md
+++ /dev/null
@@ -1,43 +0,0 @@
----
-layout: default
-title: Key Concepts Overview
-theme: 
-    name: mahout2
----
-
-
-Stub:
-## Mahout-Samsara Mathematically Expressive Scala DSL
-
-High level over view of how user creates DRMs (which are actually wrappers 
around underlying bindings data structure)
-How Samsara gives R-Like syntax to these DRMs with operations like `drmA.t %*% 
drmA`.  How the spirit of this is to let 
-practitioners quickly develop their own distributed algorithms. 
-
-## Distributed Bindings
-
-Here we'll talk a bit how the user can write distributed bindings for any 
engine they wish, how they must implement a few
-linear algebra operations on the distributed engine in question. 
-
-## Native Solvers
-
-How in JVM based distributed engines, computations happens at JVM on node, 
native solvers tell application how to dump 
-out of JVM and calculate natively, then load back into JVM for shipping. 
-
-
-## Linear Algebra Algorithms
-
-How algos like dssvd dspca dqr, etc make back bone of algos framework.
-
-## Reccomenders
-
-Mahout's long legacy as leader in Reccomenders in big data, and what is 
available today.
-
-## Distributed Statistics / Machine Learning Algos a.k.a. pre-canned algos.
-
-How we recognize that not everyone wants to re-invent K-means and linear 
regression so we are building up a collection of 
-common and essoteric algorithms that will come 'pre-canned'
-
-## Map Reduce
-
-How these are legacy but still exist. 
-

http://git-wip-us.apache.org/repos/asf/mahout/blob/697eae12/website/front/developers/patch-check-list.md
----------------------------------------------------------------------
diff --git a/website/front/developers/patch-check-list.md 
b/website/front/developers/patch-check-list.md
deleted file mode 100644
index 8f48ae9..0000000
--- a/website/front/developers/patch-check-list.md
+++ /dev/null
@@ -1,30 +0,0 @@
----
-layout: default
-title: Pathc Check List
-theme: 
-    name: mahout2
----
-
-
-# Patch Check List
-
-So, you want to merge a contribution- or you want to know in more detail what 
committers look for in your contribution?
-Here are tips, traps, etc. for dealing with
-PRs:
-
-  - Did the author write unit tests?  Are the unit tests worthwhile?
-  - Are the licenses correct on newly added files? Has an ASF license been
-granted?
-  - Make sure you update JIRA by assigning the issue to you so that others
-know you are working on it.
-  - How is the documentation, especially the javadocs?
-  - Before committing, make sure you add any new documents to your local Git 
repo.  
-  - Run all unit tests, verify that all tests pass.
-  - Lastly, update the 
[CHANGELOG](https://github.com/apache/mahout/blob/master/CHANGELOG) file. Give 
proper credit to the authors.
- 
-After the above steps are verified and completed, and the contribution is 
ready to merge, follow the steps in the "Merging a PR" section in: [Handling 
Github PRs](http://mahout.apache.org/developers/github.html).
-
- - Remember to update the issue status in JIRA when you have completed it.
-
-
-  
\ No newline at end of file

http://git-wip-us.apache.org/repos/asf/mahout/blob/697eae12/website/front/developers/publish-website.md
----------------------------------------------------------------------
diff --git a/website/front/developers/publish-website.md 
b/website/front/developers/publish-website.md
deleted file mode 100644
index ded65ee..0000000
--- a/website/front/developers/publish-website.md
+++ /dev/null
@@ -1,123 +0,0 @@
----
-layout: default
-title: How to Publish Website
-theme: 
-    name: mahout2
----
-
-## Publishing Docs
-
-This is the most common use case as new docs are published at least with every 
version release.  They are also updated 
-much more frequently as new algorithms and other features are added. 
-
-#### Step 1. Checkout current website from Subversion. 
-
-At the terminal: 
-
-    svn co https://svn.apache.org/repos/asf/mahout asf-mahout
-    
-
-#### Step 2. Check the Version you're building
-
-Open `mahout/website/docs/_config.yml`
-
-Edit the `BASE_PATH` variable (near line 59), set this to the version you wish 
to publish.
-
-
-#### Step 3. Build Website:
-    
-    cd $MAHOUT_HOME/website/docs
-    JEKYLL_ENV=production bundle exec jekyll build
-
-
-#### Step 4. Build Scala / Java Docs 
-    
-From the mahout source top level directory, use maven to build Scala and Java 
Docs, and copy them to the `mahout/website/docs/_site`
-
-    cd _site
-    mkdir scaladocs
-    cd ../../../
-    
-    cd math-scala
-    mvn scala:doc
-    cp target/site/scaladocs ../website/docs/_site/scaladocs/math-scala -r
-    
-    cd ../spark
-    mvn scala:doc
-    cp target/site/scaladocs ../website/docs/_site/scaladocs/spark -r
-
-
-To build javadocs, make sure you are on Java 7 (`sudo update-alternatives 
--config java`)
-
-    cd ..
-    mvn javadoc:aggregate
-    cp target/site/apidocs website/docs/_site/javadocs -r
-    
-    
-If you changed the version number in Step 2, be sure to edit 
`website/docs/_includes/navbar.html` with a new version. 
-    
-#### Step 5. Copy `_site` to Subversion
-
-From Mahout top level directory
-
-Delete old version if exists
-
-    rm ../asf-mahout/site/mahout_cms/trunk/content/docs/<version> -r
-    cp website/docs/_site 
../asf-mahout/site/mahout_cms/trunk/content/docs/<version> -r
-
-Where **<version>** is the version you set in Step 2. 
-
-#### Step 6. Publish Site
-
-    cd /path/to/asf-mahout
-    svn add site/mahout_cms/trunk/content/docs/<version>
-    svn commit
-    
-This will "publish" to http://mahout.staging.apache.org Now would be a good 
time to go do some QA (quality assurance) load 
-up the site and check that your links works, esp in the area you were working 
on.
-
-When you're ready to publish, go to https://cms.apache.org/mahout/ and click 
publish.
-
-## Publishing Front Site
-
-
-#### Step 1. Checkout current website from Subversion. 
-
-At the terminal: 
-
-    svn co https://svn.apache.org/repos/asf/mahout asf-mahout
-    
-
-#### Step 2. Build Website:
-    
-
-    cd $MAHOUT_HOME/website/front
-    JEKYLL_ENV=production bundle exec jekyll build
-
-
-#### Step 3. Copy `_site` to Subversion
-
-From Mahout top level directory
-
-    cp website/front/_site/. ../asf-mahout/site/mahout_cms/trunk/content/ -r
-
-
-
-#### Step 6. Publish Site
-
-    cd /path/to/asf-mahout
-    svn status | grep '?' | sed 's/^.* /svn add /' | bash
-    svn commit
-    
-    
-`svn status | grep '?' | sed 's/^.* /svn add /' | bash` is a clever trick that 
will pick up any new files. It's the equivelent
-to `git add --all` use with care.  You could also manually add files with `svn 
add path/to/file`
-
-
-This will "publish" to http://mahout.staging.apache.org Now would be a good 
time to go do some QA (quality assurance) load 
-up the site and check that your links works, esp in the area you were working 
on.
-
-When you're ready to publish, go to https://cms.apache.org/mahout/ and click 
publish.
-
-    
-    
\ No newline at end of file

http://git-wip-us.apache.org/repos/asf/mahout/blob/697eae12/website/front/developers/release-notes.md
----------------------------------------------------------------------
diff --git a/website/front/developers/release-notes.md 
b/website/front/developers/release-notes.md
deleted file mode 100644
index d893688..0000000
--- a/website/front/developers/release-notes.md
+++ /dev/null
@@ -1,249 +0,0 @@
----
-layout: default
-title: Release notes
-theme: 
-    name: mahout2
----
-
-
-# Release Notes
-
-#### 17 April 2017 - Apache Mahout 0.13.0 released
-
-This release contains a big shift in the approach to computation in the 
project. We are including a new capability to compute matrix math directly on 
the GPU, resulting in significant performance improvements.
-
-Changes in 0.13 are detailed 
[here](http://mahout.apache.org/release-notes/Apache-Mahout-0.13.0-Release-Notes.pdf).
-
-#### 11 April 2016 - Apache Mahout 0.12.0 released
-
-This release marks a major milestone for the “Samsara” environment’s goal
-of providing an engine neutral math platform by now supporting Apache Flink.
-While still experimental, the mahout Flink bindings now offer all of the R-Like
-semantics for linear algebra operations, matrix decompositions, 
-and algorithms of the “Samsara” platform for execution on a Flink back-end.
-
-This release gives users of Apache Flink out of the box access to the 
following features (and more):
-
-<ol>
-<li>The Mahout Distributed Row Matrix (DRM) API.</li>
-<li>Distributed and local Vector and Matrix algebra routines.</li>
-<li>Distributed and local Stochastic Principal Component Analysis.</li>
-<li>Distributed and local Stochastic Singular Value Decomposition.</li>
-<li>Distributed and local Thin QR Decomposition.</li>
-<li>Collaborative Filtering.</li>
-<li>Naive Bayes Classification.</li>
-<li>Matrix operations (only listing a few here):
-<ol>
-<li>Mahout-native blockified distributed Matrix map and allreduce 
routines.</li>
-<li>Distributed data point (row) sampling.</li>
-<li>Matrix/Matrix Squared Distance.</li>
-<li>Element-wise log.</li>
-<li>Element-wise roots.</li>
-<li>Element-wise Matrix/Matrix addition, subtraction, division and 
multiplication.</li>
-<li>Functional Matrix value assignment.</li>
-<li>A familiar Scala-based R-like DSL.</li>
-</ol>
-</ol>
-
-#### 11 March 2016 - Apache Mahout 0.11.2 released
-
-This is a minor release over Mahout 0.11.1 meant to introduce major
-performance enhancements with sparse matrix and vector computations, and
-major performance optimizations to the Samsara DSL.  Mahout 0.11.2 includes
-all new features and bug fixes released in Mahout versions 0.11.0 and
-0.11.1.
-
-Highlights include:
-
-* Spark 1.5.2 support
-*   Performance improvements of over 30% on Sparse Vector and Matrix
-   computations leveraging the ‘fastutil’ library -  contribution from
-   Sebastiano Vigna. This speeds up all in-core sparse vector and matrix
-   computations.
-
-
-#### 06 November 2015 - Apache Mahout 0.11.1 released
-
-This is a minor release over Mahout 0.11.0 meant to expand Mahout’s
-compatibility with Spark versions, to introduce some new features and to
-fix some bugs.  Mahout 0.11.1 includes all new features and bug fixes
-released in Mahout versions 0.11.0 and earlier.
-
-Highlights include:
-
-* Spark 1.4+ support
-* 4x Performance improvement in Dot Product over Dense Vectors 
(https://issues.apache.org/jira/browse/MAHOUT-1781)
-
-
-#### 07 August 2015 - Apache Mahout 0.11.0 released
-
-Mahout 0.11.0 includes all new features and bugfixes released in Mahout 
versions 0.10.1
-and 0.10.2 along with support for Spark 1.3+.
-
-Highlights include:
-
-* Spark 1.3 support
-* Fixes for a major memory usage bug in co-occurrence analysis used by the 
driver spark-itemsimilarity. This will now require far less memory in the 
executor.
-* Some minor fixes to Mahout-Samsara QR Decomposition and matrix ops.
-* All of the Mahout Samsara fixes from 0.10.2 Release
-
-
-#### 06 August 2015 - Apache Mahout 0.10.2 released
-
-Highlights include:
-
-* In-core transpose view rewrites. Modifiable transpose views eg. (for (col <- 
a.t) col := 5).
-* Performance and parallelization improvements for AB', A'B, A'A spark 
physical operators.
-* Optional structural "flavor" abstraction for in-core matrices. In-core 
matrices can now be tagged as e.g. sparse or dense.
-* %*% optimization based on matrix flavors.
-* In-core ::= sparse assignment functions.
-* Assign := optimization (do proper traversal based on matrix flavors, 
similarly to %*%).
-* Adding in-place elementwise functional assignment (e.g. mxA := exp _, mxA 
::= exp _).
-* Distributed and in-core version of simple elementwise analogues of 
scala.math._. for example, for log(x) the convention is dlog(drm), mlog(mx), 
vlog(vec). Unfortunately we cannot overload these functions over what is done 
in scala.math, i.e. scala would not allow log(mx) or log(drm) and log(Double) 
at the same time, mainly because they are being defined in different packages.
-* Distributed and in-core first and second moment routines. R analogs: mean(), 
colMeans(), rowMeans(), variance(), sd(). By convention, distributed versions 
are prepended by (d) letter: colMeanVars() colMeanStdevs() dcolMeanVars() 
dcolMeanStdevs().
-* Distance and squared distance matrix routines. R analog: dist(). Provide 
both squared and non-squared Euclidean distance matrices. By convention, 
distributed versions are prepended by (d) letter: dist(x), sqDist(x), 
dsqDist(x). Also a variation for pair-wise distance matrix of two different 
inputs x and y: sqDist(x,y), dsqDist(x,y). 
-* DRM row sampling api.
-* Distributed performance bug fixes. This relates mostly to (a) matrix 
multiplication deficiencies, and (b) handling parallelism.
-* Distributed engine neutral allreduceBlock() operator api for Spark and H2O.
-* Distributed optimizer operators for elementwise functions. Rewrites 
recognizing e.g. 1+ drmX * dexp(drmX) as a single fused elementwise physical 
operator: elementwiseFunc(f1(f2(drmX)) where f1 = 1 + x and f2 = exp(x).
-* More cbind, rbind flavors (e.g. 1 cbind mxX, 1 cbind drmX or the other way 
around) for Spark and H2O.
-* Added +=: and *=: operators on vectors.
-* Closeable API for broadcast tensors.
-* Support for conversion of any type-keyed DRM into ordinally-keyed DRM.
-* Scala logging style. 
-* rowSumsMap() summary for non-int-keyed DRMs.
-* elementwise power operator ^ . 
-* R-like vector concatenation operator. 
-* In-core functional assignments e.g.: mxA := { (x) => x * x}. 
-* Straighten out behavior of Matrix.iterator() and iterateNonEmpty().
-* New mutable transposition view for in-core matrices.  In-core matrix 
transpose view. rewrite with mostly two goals in mind: (1) enable mutability, 
e.g. for (col <- mxA.t) col := k (2) translate matrix structural flavor for 
optimizers correctly. i.e. new SparseRowMatrix.t carries on as column-major 
structure.
-* Native support for kryo serialization of tensor types.
-* Deprecation of the MultiLayerPerceptron, ConcatenateVectorsJob and all 
related classes.
-* Deprecation of SparseColumnMatrix.
-
-#### 31 May 2015 - Apache Mahout 0.10.1 released
-
-Highlights include:
-
-* Major memory use improvements in  cooccurrence analysis including the 
spark-itemsimilarity driver 
[MAHOUT-1707](https://issues.apache.org/jira/browse/MAHOUT-1707)
-* Support for Spark version 1.2.2 or less.
-* Some minor fixes to Mahout-Samsara QR Decomposition and matrix ops.
-* Trim down packages size to < 200MB MAHOUT-1704 and MAHOUT-1706
-* Minor testing indicates binary compatibility with Spark 1.3 with the 
exception of the Mahout Shell.
-
-#### 11 April 2015 - Apache Mahout 0.10.0 released
-
-Mahout 0.10.0 was a major release, which separates out a ML environment (we 
call Mahout-Samsara) including an 
-extended version of Scala that is largely backend independent but runs fully 
on Spark. The Hadoop MapReduce versions of 
-Mahout algorithms are still maintained but no new MapReduce contributions are 
accepted. From this release onwards 
-contributions must be Mahout Samsara based or at least run on Spark. 
-
-Highlights include:
-
-New Mahout Samsara Environment
-
-* Distributed Algebraic optimizer
-* R-Like DSL Scala API
-* Linear algebra operations
-* Ops are extensions to Scala
-* Scala REPL based interactive shell running on Spark
-* Integrates with compatible libraries like MLlib
-* Run on distributed Spark
-* H2O in progress
-
-New Mahout Samsara based Algorithms
-
-* Stochastic Singular Value Decomposition (ssvd, dssvd)
-* Stochastic Principal Component Analysis (spca, dspca)
-* Distributed Cholesky QR (thinQR)
-* Distributed regularized Alternating Least Squares (dals)
-* Collaborative Filtering: Item and Row Similarity
-* Naive Bayes Classification
-* Distributed and in-core
-
-Changes in 0.10.0 are detailed <a 
href="https://github.com/apache/mahout/blob/mahout-0.10.0/CHANGELOG";>here</a>
-
-#### 1 February 2014 - Apache Mahout 0.9 released
-
-  <p>Highlights include:</p>
-
-  <ul>
-   <li>New and improved Mahout website based on Apache CMS - <a 
href="https://issues.apache.org/jira/browse/MAHOUT-1245";>MAHOUT-1245</a></li>
-   <li>Early implementation of a Multi Layer Perceptron (MLP) classifier - <a 
href="https://issues.apache.org/jira/browse/MAHOUT-1265";>MAHOUT-1265</a>.</li>
-   <li>Scala DSL Bindings for Mahout Math Linear Algebra.  See <a 
href="http://weatheringthrutechdays.blogspot.com/2013/07/scala-dsl-for-mahout-in-core-linear.html";>this
 blogpost</a> - <a 
href="https://issues.apache.org/jira/browse/MAHOUT-1297";>MAHOUT-1297</a></li>
-   <li>Recommenders as a Search.  See <a 
href="https://github.com/pferrel/solr-recommender";>https://github.com/pferrel/solr-recommender</a>
 - <a 
href="https://issues.apache.org/jira/browse/MAHOUT-1288";>MAHOUT-1288</a></li>
-   <li>Support for easy functional Matrix views and derivatives - <a 
href="https://issues.apache.org/jira/browse/MAHOUT-1300";>MAHOUT-1300</a></li>
-   <li>JSON output format for ClusterDumper - <a 
href="https://issues.apache.org/jira/browse/MAHOUT-1343";>MAHOUT-1343</a></li>
-   <li>Enable randomised testing for all Mahout modules using Carrot 
RandomizedRunner - <a 
href="https://issues.apache.org/jira/browse/MAHOUT-1345";>MAHOUT-1345</a></li>
-   <li>Online Algorithm for computing accurate Quantiles using 1-dimensional 
Clustering - <a 
href="https://issues.apache.org/jira/browse/MAHOUT-1361";>MAHOUT-1361</a>.  See 
this <a 
href="https://github.com/tdunning/t-digest/blob/master/docs/theory/t-digest-paper/histo.pdf";>pdf</a>
 for the details.
-   <li>Upgrade to Lucene 4.6.1 - <a 
href="https://issues.apache.org/jira/browse/MAHOUT-1364";>MAHOUT-1364</a></li>
-  </ul>
-
-  <p>Changes in 0.9 are detailed <a 
href="http://svn.apache.org/viewvc/mahout/trunk/CHANGELOG?view=markup&pathrev=1563661";>here</a>.</p>
-
-#### 25 July 2013 - Apache Mahout 0.8 released
-
-  <p>Highlights include:</p>
-
-  <ul>
-    <li>Numerous performance improvements to Vector and Matrix 
implementations, API's and their iterators</li>
-               <li>Numerous performance improvements to the recommender 
implementations</li>
-               <li><a href="https://issues.apache.org/jira/browse/MAHOUT-1088"; 
class="external-link" rel="nofollow">MAHOUT-1088</a>: Support for biased 
item-based recommender</li>
-               <li><a href="https://issues.apache.org/jira/browse/MAHOUT-1089"; 
class="external-link" rel="nofollow">MAHOUT-1089</a>: SGD matrix factorization 
for rating prediction with user and item biases</li>
-               <li><a href="https://issues.apache.org/jira/browse/MAHOUT-1106"; 
class="external-link" rel="nofollow">MAHOUT-1106</a>: Support for SVD++</li>
-               <li><a href="https://issues.apache.org/jira/browse/MAHOUT-944"; 
class="external-link" rel="nofollow">MAHOUT-944</a>:  Support for converting 
one or more Lucene storage indexes to SequenceFiles as well as an upgrade of 
the supported Lucene version to Lucene 4.3.1.</li>
-               <li><a href="https://issues.apache.org/jira/browse/MAHOUT-1154"; 
class="external-link" rel="nofollow">MAHOUT-1154</a> and friends: New streaming 
k-means implementation that offers on-line (and fast) clustering</li>
-               <li><a href="https://issues.apache.org/jira/browse/MAHOUT-833"; 
class="external-link" rel="nofollow">MAHOUT-833</a>: Make conversion to 
SequenceFiles Map-Reduce, 'seqdirectory' can now be run as a MapReduce job.</li>
-               <li><a href="https://issues.apache.org/jira/browse/MAHOUT-1052"; 
class="external-link" rel="nofollow">MAHOUT-1052</a>: Add an option to 
MinHashDriver that specifies the dimension of vector to hash (indexes or 
values).</li>
-               <li><a href="https://issues.apache.org/jira/browse/MAHOUT-884"; 
class="external-link" rel="nofollow">MAHOUT-884</a>: Matrix Concat utility, 
presently only concatenates two matrices.</li>
-               <li><a href="https://issues.apache.org/jira/browse/MAHOUT-1187"; 
class="external-link" rel="nofollow">MAHOUT-1187</a>: Upgraded to 
CommonsLang3</li>
-               <li><a href="https://issues.apache.org/jira/browse/MAHOUT-916"; 
class="external-link" rel="nofollow">MAHOUT-916</a>: Speedup the Mahout build 
by making tests run in parallel.</li>
-
-  </ul>
-
-  <p>Changes in 0.8 are detailed <a 
href="http://svn.apache.org/viewvc/mahout/trunk/CHANGELOG?revision=1501110&view=markup";>here</a>.</p>
-
-#### 16 June 2012 - Apache Mahout 0.7 released
-
-  <p>Highlights include:</p>
-
-  <ul>
-    <li>Outlier removal capability in K-Means, Fuzzy K, Canopy and Dirichlet 
Clustering</li>
-    <li>New Clustering implementation for K-Means, Fuzzy K, Canopy and 
Dirichlet using Cluster Classifiers</li>
-    <li>Collections and Math API consolidated</li>
-    <li>(Complementary) Naive Bayes refactored and cleaned</li>
-    <li>Watchmaker and Old Naive Bayes dropped.</li>
-    <li>Many bug fixes, refactorings, and other small improvements</li>
-  </ul>
-
-  <p>Changes in 0.7 are detailed <a 
href="https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12310751&version=12319261";>here</a>.</p>
-
-
-
-#### 6 Feb 2012 - Apache Mahout 0.6 released
-
-  <p>Highlights include:</p>
-
-  <ul>
-    <li>Improved Decision Tree performance and added support for regression 
problems</li>
-    <li>New LDA implementation using Collapsed Variational Bayes 0th 
Derivative Approximation</li>
-    <li>Reduced runtime of LanczosSolver tests</li>
-    <li>K-Trusses, Top-Down and Bottom-Up clustering, Random Walk with 
Restarts implementation</li>
-    <li>Reduced runtime of dot product between vectors</li>
-    <li>Added MongoDB and Cassandra DataModel support</li>
-    <li>Increased efficiency of parallel ALS matrix factorization</li>
-    <li>SSVD enhancements</li>
-    <li>Performance improvements in RowSimilarityJob, TransposeJob</li>
-    <li>Added numerous clustering display examples</li>
-    <li>Many bug fixes, refactorings, and other small improvements</li>
-  </ul>
-
-  <p>Changes in 0.6 are detailed <a 
href="https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12310751&version=12316364";>here</a>.</p>
-
-#### Past Releases
-
- * [Mahout 
0.5](https://issues.apache.org/jira/secure/ReleaseNote.jspa?version=12315255&styleName=Text&projectId=12310751&Create=Create&atl_token=A5KQ-2QAV-T4JA-FDED|20f0d06214912accbd47acf2f0a89231ed00a767|lin)
- * [Mahout 
0.4](https://issues.apache.org/jira/secure/ReleaseNote.jspa?version=12314281&styleName=Text&projectId=12310751&Create=Create&atl_token=A5KQ-2QAV-T4JA-FDED|20f0d06214912accbd47acf2f0a89231ed00a767|lin)
- * [Mahout 
0.3](https://issues.apache.org/jira/secure/ReleaseNote.jspa?version=12314281&styleName=Text&projectId=12310751&Create=Create&atl_token=A5KQ-2QAV-T4JA-FDED|20f0d06214912accbd47acf2f0a89231ed00a767|lin)
- * [Mahout 
0.2](https://issues.apache.org/jira/secure/ReleaseNote.jspa?version=12313278&styleName=Text&projectId=12310751&Create=Create&atl_token=A5KQ-2QAV-T4JA-FDED|20f0d06214912accbd47acf2f0a89231ed00a767|lin)
 
- * [Mahout 
0.1](https://issues.apache.org/jira/secure/ReleaseNote.jspa?version=12312976&styleName=Html&projectId=12310751&Create=Create&atl_token=A5KQ-2QAV-T4JA-FDED%7C48e83cdefb8bca42acf8f129692f8c3a05b360cf%7Clout)
\ No newline at end of file

http://git-wip-us.apache.org/repos/asf/mahout/blob/697eae12/website/front/developers/version-control.md
----------------------------------------------------------------------
diff --git a/website/front/developers/version-control.md 
b/website/front/developers/version-control.md
deleted file mode 100644
index f488785..0000000
--- a/website/front/developers/version-control.md
+++ /dev/null
@@ -1,38 +0,0 @@
----
-layout: default
-title: Thirdparty Dependencies
-theme: 
-    name: mahout2
----
-
-# Version control access
-
-The Mahout source is mirrored in the **[Apache Mahout 
GitHub](https://github.com/apache/mahout)** repository.
-  
-<a name="VersionControl-WebAccess(read-only)"></a>
-## Web Access (read-only)
-
-The source code can be browsed via the Web at 
[https://github.com/apache/mahout](https://github.com/apache/mahout). 
-
-<a name="VersionControl-AnonymousAccess(read-only)"></a>
-## Anonymous Access (read-only)
-
-The Git URL for anonymous users is 
[https://github.com/apache/mahout.git](https://github.com/apache/mahout.git).
-
-<a name="VersionControl-CommitterAccess(read-write)"></a>
-## Committer Access (read-write)
-
-The Git URL for committers is 
[https://git-wip-us.apache.org/repos/asf/mahout.git](https://git-wip-us.apache.org/repos/asf/mahout.git).
-
-## Mahout Website 
-The Mahout website resides in the [Apache SVN 
repository](https://svn.apache.org/viewvc/mahout/site).
-
-The SVN URL for the Mahout site is: 
[https://svn.apache.org/repos/asf/mahout/site](https://svn.apache.org/repos/asf/mahout/site).
-
-The Mahout website can be edited via the [ASF CMS 
Editor](http://www.apache.org/dev/cms.html) or by checking out the source 
locally from SVN.  A handy tool for publising the website locally while editing 
is available [here](https://gist.github.com/tuxdna/11223434). 
-
-
-<a name="VersionControl-Issues"></a>
-## Issues
-
-All bugs, improvements, [pull 
requests](http://mahout.apache.org/developers/github.html), etc. should be 
logged in our [issue 
tracker](https://mahout.apache.org/developers/issue-tracker.html).
\ No newline at end of file

http://git-wip-us.apache.org/repos/asf/mahout/blob/697eae12/website/front/downloads.md
----------------------------------------------------------------------
diff --git a/website/front/downloads.md b/website/front/downloads.md
deleted file mode 100644
index 8f33466..0000000
--- a/website/front/downloads.md
+++ /dev/null
@@ -1,67 +0,0 @@
----
-layout: default
-title: Downloads
-theme: mahout
----
-
-<a name="Downloads-OfficialRelease"></a>
-# Official Release
-Apache Mahout is an official Apache project and thus available from any of
-the Apache mirrors. The latest Mahout release is available for download at: 
-
-* [Download Latest](http://www.apache.org/dyn/closer.cgi/mahout/)
-* [Release Archive](http://archive.apache.org/dist/mahout/)
-
-
-# Source code for the current snapshot
-
-Apache Mahout is mirrored to [Github](https://github.com/apache/mahout). To 
get all source:
-
-    git clone https://github.com/apache/mahout.git mahout
-   
-# Environment
-
-Whether you are using Mahout's Shell, running command line jobs or using it as 
a library to build your own apps 
-you'll need to setup several environment variables. 
-Edit your environment in ```~/.bash_profile``` for Mac or ```~/.bashrc``` for 
many linux distributions. Add the following
-
-    export MAHOUT_HOME=/path/to/mahout
-    export MAHOUT_LOCAL=true # for running standalone on your dev machine, 
-    # unset MAHOUT_LOCAL for running on a cluster 
-
-If you are running on Spark you will also need $SPARK_HOME
-
-Make sure to have $JAVA_HOME set also
-
-# Using Mahout as a Library
-
-Running any application that uses Mahout will require installing a binary or 
source version and setting the environment.  
-Then add the appropriate setting to your pom.xml or build.sbt following the 
template below.
- 
-If you only need the math part of Mahout:
-
-    <dependency>
-        <groupId>org.apache.mahout</groupId>
-        <artifactId>mahout-math</artifactId>
-        <version>${mahout.version}</version>
-    </dependency>
-
-In case you would like to use some of our integration tooling (e.g. for 
generating vectors from Lucene):
-
-    <dependency>
-        <groupId>org.apache.mahout</groupId>
-        <artifactId>mahout-hdfs</artifactId>
-        <version>${mahout.version}</version>
-    </dependency>
-
-In case you are using Ivy, Gradle, Buildr, Grape or SBT you might want to 
directly head over to the official [Maven Repository 
search](http://mvnrepository.com/artifact/org.apache.mahout/mahout-core).
-
-
-<a name="Downloads-FutureReleases"></a>
-# Future Releases
-
-Official releases are usually created when the developers feel there are
-sufficient changes, improvements and bug fixes to warrant a release. Watch
-the <a 
href="https://mahout.apache.org/general/mailing-lists,-irc-and-archives.html";>Mailing
 lists</a>
- for latest release discussions and check the Github repo.
-

http://git-wip-us.apache.org/repos/asf/mahout/blob/697eae12/website/front/index.md
----------------------------------------------------------------------
diff --git a/website/front/index.md b/website/front/index.md
deleted file mode 100644
index ab66336..0000000
--- a/website/front/index.md
+++ /dev/null
@@ -1,148 +0,0 @@
----
-layout: page
-theme: 
-    name: mahout2
----
-
-
-<div class="container-fluid">
-    <div class="row">
-        <div class="col-md-8">
-            <div class="row">
-                <div class="col-s-12">
-                <div class="mahoutBox1">
-                    <h4> Apache Mahout(TM) is a <b>distributed linear algebra 
framework</b> and <b>mathematically expressive Scala DSL</b>
-                    designed to let mathematicians, statisticians, and data 
scientists quickly <i>implementent their own algorithms</i>. 
-                    Apache Spark is the reccomended out-of-the-box distributed 
back-end, <i>or can be extended to other distributed backends.</i></h4> 
-                </div></div>
-            </div> <!-- row --> 
-            <div class="row">
-                <div class="col-xs-4">
-                <div class="mahoutBox3"><b>Mathematically Expressive Scala 
DSL</b>
-                </div></div>
-                <div class="col-xs-4">
-                <div class="mahoutBox2"><b>Support for Multiple Distributed 
Backends (including Apache Spark)</b>
-                </div></div>
-                <div class="col-xs-4">
-                <div class="mahoutBox2"><b>Modular Native Solvers for 
CPU/GPU/CUDA Acceleration</b>
-                </div></div>
-            </div> <!-- row --> 
-        </div>
-        <div class="col-md-4"> 
-            <div class="mahoutBox2 col-md-11">
-            <div class='jekyll-twitter-plugin'>
-                <a class="twitter-timeline" data-width="300" data-height="300" 
data-tweet-limit="4" data-chrome="nofooter" 
href="https://twitter.com/ApacheMahout";>Tweets by ApacheMahout</a>
-                <script async src="//platform.twitter.com/widgets.js" 
charset="utf-8"></script>
-            </div></div>
-        </div>
-    </div>   
-</div>
-
-<!--
-<div class="container">
-    <div class="row">
-        <div class="col-9">
-            <div class="mahoutBox1">
-            <h4> Apache Mahout(TM) is a <b>distributed linear algebra 
framework</b> and <b>mathematically expressive Scala DSL</b>
-             designed to let mathematicians, statisticians, and data 
scientists quickly <i>implementent their own algorithms</i>. 
-             Apache Spark is the reccomended out-of-the-box distributed 
back-end, <i>or can be extended to other distributed backends.</i></h4>
-            </div>
-        </div> <!-- col9 -->
-<!--
-<div class="col-3">
-    <div class="row">
-        <div class="col-md-12 col-sm-12 col-xs-12 text-center">
-            <div class='jekyll-twitter-plugin'><a class="twitter-timeline" 
data-width="500" data-tweet-limit="4" data-chrome="nofooter" 
href="https://twitter.com/ApacheMahout";>Tweets by ApacheMahout</a>
-                <script async src="//platform.twitter.com/widgets.js" 
charset="utf-8"></script></div>
-            </div>
-        <div class="col-md-12 col-sm-12 col-xs-12 text-center twitterBtn">
-            <p style="text-align:center; margin-top: 32px; font-size: 12px; 
color: gray; font-weight: 200; font-style: italic; padding-bottom: 0;">See more 
tweets or</p>
-            <a href="https://twitter.com/ApacheMahout"; target="_blank" 
class="btn btn-primary btn-lg round" role="button">Follow Mahout on &nbsp;<i 
class="fa fa-twitter fa-lg" aria-hidden="true"></i></a>
-        </div>
-    </div>
-</div>
-</div> 
-<div class="row">
-
-<!-- Jumbotron -->
-    
-<!--
-  <div class="newMahout col-md-4 col-sm-4">
-    <h4>Simple and <br/>Extensible</h4>
-    <div class="viz">
-      <p>
-        Build your own algorithms using Mahouts R like interface.  See an 
example in this 
-        <a href="" target="_blank">demo</a>
-      </p>
-    </div>
-  </div>
-  <div class="newMahout col-md-4 col-sm-4">
-    <h4>Support for Multiple <br/>Distributed Backends</h4>
-    <div class="multi">
-    <p>
-       Custom bindings for Spark, Flink, and H20 enable a write once run 
anywhere machine learning platform
-    </p>
-    </div>
-  </div>
-  <div class="newMahout col-md-4 col-sm-4">
-    <h4>Introducing Samsara an R<br/> dsl for writing ML algos</h4>
-    <div class="personal">
-    <p>
-      Use this capability to write algorithms at scale, that will run on any 
backend 
-    </p>
-    </div>
-  </div>
-</div>
-<div class="border row">
-  <div class="newMahout col-md-4 col-sm-4">
-    <h4>Support for GPUs</h4>
-    <p>
-      Distributed GPU Matrix-Matrix and Matrix-Vector multiplication on Spark 
along with sparse and dense matrix GPU-backed support.
-    </p>
-  </div>
-  <div class="newMahout col-md-4 col-sm-4">
-    <h4>Extensible Algorithms Framework</h4>
-    <p>
-       A new scikit-learn-like framework for algorithms with the goal for
-       creating a consistent API for various machine-learning algorithms
-    </p>
-  </div>
-  <div class="newMahout col-md-4 col-sm-4">
-    <h4>0.13.1 - Future Plans</h4>
-    <p>
-      - JCuda native solver <br>
-      - Scala 2.11 / Spark 2.x Support  <br>
-      - Expaned Algorithms Framework
-    </p>
-  </div>
-</div>
-<div class="col-md-12 col-sm-12 col-xs-12 text-center">
-  <p style="text-align:center; margin-top: 32px; font-size: 14px; color: gray; 
font-weight: 200; font-style: italic; padding-bottom: 0;">See more details in 
-    <a href="tbd">0.13.0 Release Note</a>
-  </p>
-</div>
-
-<aside>
-    <div class="col-md-12 col-sm-6">
-        <h2>Mahout Blogs</h2>
-        {% for post in paginator.posts %}
-        {% include tile.html %}
-        {% endfor %}
-    </div>  
-    <div class="container col-sm-6 col-md-12">
-        <h2>Mahout on Twitter</h2>
-        <br/>
-        <div class="row">
-            <div class="col-md-12 col-sm-12 col-xs-12 text-center">
-                <div class='jekyll-twitter-plugin'><a class="twitter-timeline" 
data-width="500" data-tweet-limit="4" data-chrome="nofooter" 
href="https://twitter.com/ApacheMahout";>Tweets by ApacheMahout</a>
-                    <script async src="//platform.twitter.com/widgets.js" 
charset="utf-8"></script></div>
-                </div>
-            <div class="col-md-12 col-sm-12 col-xs-12 text-center twitterBtn">
-                <p style="text-align:center; margin-top: 32px; font-size: 
12px; color: gray; font-weight: 200; font-style: italic; padding-bottom: 
0;">See more tweets or</p>
-                <a href="https://twitter.com/ApacheMahout"; target="_blank" 
class="btn btn-primary btn-lg round" role="button">Follow Mahout on &nbsp;<i 
class="fa fa-twitter fa-lg" aria-hidden="true"></i></a>
-            </div>
-        </div>
-     </div>
-</aside>
-f-->
-

http://git-wip-us.apache.org/repos/asf/mahout/blob/697eae12/website/front/screenshots/landing.png
----------------------------------------------------------------------
diff --git a/website/front/screenshots/landing.png 
b/website/front/screenshots/landing.png
deleted file mode 100644
index 734a3e8..0000000
Binary files a/website/front/screenshots/landing.png and /dev/null differ

Reply via email to