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+ padding-top:4px; + border-radius:3px; + background-color:#444; + height:23px; + position:relative; + top: -130px; + left:20px; + width: 300px; + height: 24px; +} + +#quick-search fieldset{ + margin:0; + padding:0; + height:15px; + line-height:22px; +} + +#quick-search-query{ + width: 295px; + margin-left:1px; + background:white; + -webkit-appearance:text; +} + +#header-menu-bar { + float:right; + position:relative; + left:300px; +} + +.clear { + margin-bottom:20px; +} + +.panelContent { + font-size: 13px; +} http://git-wip-us.apache.org/repos/asf/mahout/blob/ec5eb314/website-old/oldsite/images/wrapper.jpg ---------------------------------------------------------------------- diff --git a/website-old/oldsite/images/wrapper.jpg b/website-old/oldsite/images/wrapper.jpg new file mode 100755 index 0000000..a772ef2 Binary files /dev/null and b/website-old/oldsite/images/wrapper.jpg differ http://git-wip-us.apache.org/repos/asf/mahout/blob/ec5eb314/website-old/oldsite/index.md ---------------------------------------------------------------------- diff --git a/website-old/oldsite/index.md b/website-old/oldsite/index.md new file mode 100644 index 0000000..6e80bdb --- /dev/null +++ b/website-old/oldsite/index.md @@ -0,0 +1,171 @@ +--- +layout: default +title: Downloads +theme: + name: retro-mahout +--- + +# What is Apache Mahout? +## The Apache Mahout⢠project's goal is to build an environment for quickly creating scalable performant machine learning applications. + + <div class="highlights"> + <a href="http://mahout.apache.org/general/downloads.html";><img src="http://mahout.apache.org/images/download-mahout.png"/></a> + <h4>Latest release version 0.13.0 has</h4> + <h6>Apache Mahout Samsara Environment includes</h6> + <ul> + <li>Distributed Algebraic optimizer</li> + <li>R-Like DSL Scala API</li> + <li>Linear algebra operations</li> + <li>Ops are extensions to Scala</li> + <li>IScala REPL based interactive shell</li> + <li>Integrates with compatible libraries like MLLib</li> + <li>Runs on distributed Spark, H2O, and Flink</li> + <li>fastutil to speed up sparse matrix and vector computations</li> + <li>Matrix to tsv conversions for integration with Apache Zeppelin</li> + </ul> + <h6>Apache Mahout Samsara Algorithms included</h6> + <ul> + <li>Stochastic Singular Value Decomposition (ssvd, dssvd)</li> + <li>Stochastic Principal Component Analysis (spca, dspca)</li> + <li>Distributed Cholesky QR (thinQR) </li> + <li>Distributed regularized Alternating Least Squares (dals)</li> + <li>Collaborative Filtering: Item and Row Similarity</li> + <li>Naive Bayes Classification</li> + <li>Distributed and in-core</li> + </ul> + </div> + +**Apache Mahout software** provides three major features: +- A simple and extensible programming environment and framework for building scalable algorithms +- A wide variety of premade algorithms for Scala + Apache Spark, H2O, Apache Flink +- Samsara, a vector math experimentation environment with R-like syntax which works at scale + + +Read an [Overview of programming a Mahout Samsara Application][1], +learn [How To Contribute to Mahout][2], +[report an issue, bug, or suggestion][3] in our JIRA, +see the [Samsara bindings for Scala and Spark][4], +and [contact us on our mailing lists][5]. + +#### 13 May 2017 - Apache Mahout website beta release + +Docs available [here](http://mahout.apache.org/docs/0.13.1-SNAPSHOT) + +#### 17 April 2017 - Apache Mahout 0.13.0 released + +Mahout 0.13.0 includes + +* In-core matrices backed by ViennaCL [3] providing in some cases speedups +of an order of magnitude. +* A JavaCPP bridge to native/GPU operations in ViennaCL +* Distributed GPU Matrix-Matrix and Matrix-Vector multiplication on Spark +* Distributed OpenMP Matrix-Matrix and Matrix-Vector multiplication on Spark +* Sparse and dense matrix GPU-backed support. +* Fault tolerance by falling back to Mahout JVM counterpart of new solvers +in the case of failure on GPU or OpenMP +* A new scikit-learn-like framework for algorithms with the goal for +creating a consistent API for various machine-learning algorithms and an +orderly package structure for grouping regression, classification, +clustering, and pre-processing algorithms together +* New DRM wrappers in Spark Bindings making it more convenient to create +DRMs from MLLib RDDs and DataFrames +* MahoutConversions adds Scala-like compatibility to Vectors introducing +methods such as toArray() and toMap() + +#### 13 Jun 2016 - Apache Mahout 0.12.2 released + +Mahout 0.12.2 is a minor release following 0.12.1 that provides Matrix exports for Apache Zeppelin integration along with a few minor bug fixes and dependency upgrades. + + +#### 19 May 2016 - "Visualizing Apache Mahout in R via Apache Zeppelin" posted +<p>A tutorial on connecting Mahout, R, Spark, and Zeppelin by <a href="https://trevorgrant.org/2016/05/19/visualizing-apache-mahout-in-r-via-apache-zeppelin-incubating"; target="_blank">Trevor Grant</a> showing how to plot results in Apache Zeppelin.</p> + +#### 18 May 2016 - Apache Mahout 0.12.1 released + +Mahout 0.12.1 is a minor release following 0.12.0 that fixes issues in the newly added Flink backend and supports Flink 1.0.3. + + +#### **11 Apr 2016 - Apache Mahout 0.12.0 released** + +The Mahout 0.12.0 release marks a major milestone for the âSamsaraâ environmentâs goal of providing an engine neutral math platform by now supporting 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 âSamsaraâ platform for execution on a Flink back-end. + + +#### **12 Mar 2016 - Apache Mahout 0.11.2 released** +**Apache Mahout introduces a new math environment called** [**Samsara**](http://mahout.apache.org/users/sparkbindings/home.html), + for its theme of universal renewal. It reflects a fundamental rethinking of how scalable machine learning + algorithms are built and customized. Mahout-Samsara is here to help people create their own math while providing + some off-the-shelf algorithm implementations. At its core are general linear algebra and statistical operations + along with the data structures to support them. You can use is as a library or customize it in Scala with Mahout-specific extensions + that look something like R. + Mahout-Samsara comes with an interactive shell that runs distributed operations on an Apache Spark cluster. + This make prototyping or task submission much easier and allows users to customize algorithms with + a whole new degree of freedom. + + [**Mahout Algorithms**](http://mahout.apache.org/users/basics/algorithms.html) include many new + implementations built for speed on Mahout-Samsara. They run on Spark 1.3+, Flink 1.0.1, and some on H2O, which means as + much as a 10x speed increase. Youâll find robust matrix decomposition algorithms as well as a **[Naive Bayes][6]** + classifier and collaborative filtering. The new spark-itemsimilarity enables the next generation of **[cooccurrence + recommenders][7]** that can use entire user click streams and context in making recommendations. + + Our [release notes](http://mahout.apache.org/general/release-notes.html) have details. Interested in helping? Join the <a href="https://mahout.apache.org/general/mailing-lists,-irc-and-archives.html";>Mailing lists</a>. + +# Mahout News + +#### 13 May 2017 - Apache Mahout website beta release + +Docs available [here](http://mahout.apache.org/docs/0.13.1-SNAPSHOT) + +#### 17 April 2017 - Apache Mahout 0.13.0 released + +#### 13 June 2016 - Apache Mahout 0.12.2 released + +#### 18 May 2016 - Apache Mahout 0.12.1 released + +#### 11 April 2016 - Apache Mahout 0.12.0 released + +#### 12 March 2016 - Apache Mahout 0.11.2 released + +#### 23 February 2016 - New Apache Mahout Book - "Apache Mahout: Beyond MapReduce" by D.Lyubimov and A.Palumbo released. See [link](http://www.weatheringthroughtechdays.com/2016/02/mahout-samsara-book-is-out.html) Mahout "Samsara" Book Is Out + +#### 6 November 2015 - Apache Mahout 0.11.1 released + +#### 7 August 2015 - Apache Mahout 0.11.0 released + +#### 6 August 2015 - Apache Mahout 0.10.2 released + +#### 31 May 2015 - Apache Mahout 0.10.1 released + +#### 11 April 2015 - Apache Mahout 0.10.0 released + +#### 1 February 2014 - Apache Mahout 0.9 released + +Visit our [release notes](http://svn.apache.org/viewvc/mahout/trunk/CHANGELOG?view=markup&pathrev=1563661) page for details. + + + +####25 July 2013 - Apache Mahout 0.8 released + +Visit our [release notes](http://mahout.apache.org/general/release-notes.html) page for details. + +#### 16 June 2012 - Apache Mahout 0.7 released + +Visit our [release notes](http://mahout.apache.org/general/release-notes.html) page for details. + +#### 6 Feb 2012 - Apache Mahout 0.6 released + +Visit our [release notes](http://mahout.apache.org/general/release-notes.html) page for details. + +#### 9 Oct 2011 - Mahout in Action released + +The book *Mahout in Action* is available in print. Sean Owen, Robin Anil, Ted Dunning and Ellen Friedman thank the community (especially those who were reviewers) for input during the process and hope it is enjoyable. + +Find *Mahout in Action* at your favorite bookstore, or [order print and eBook copies from Manning](http://manning.com/owen/) -- use discount code "mahout37" for 37% off. + + + [1]: http://mahout.apache.org/users/environment/how-to-build-an-app.html + [2]: http://mahout.apache.org/developers/how-to-contribute.html + [3]: http://mahout.apache.org/developers/issue-tracker.html + [4]: http://mahout.apache.org/users/sparkbindings/home.html + [5]: http://mahout.apache.org/general/mailing-lists,-irc-and-archives.html + [6]: http://mahout.apache.org/users/algorithms/spark-naive-bayes.html + [7]: http://mahout.apache.org/users/algorithms/intro-cooccurrence-spark.html \ No newline at end of file
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