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Posted to commits@mahout.apache.org by bu...@apache.org on 2013/11/11 08:46:04 UTC
svn commit: r886138 [17/33] - in /websites/staging/mahout/trunk/content: ./
developers/ general/ users/basics/ users/classification/ users/clustering/
users/emr/ users/recommender/ users/stuff/
Modified: websites/staging/mahout/trunk/content/users/classification/locally-weighted-linear-regression.html
==============================================================================
--- websites/staging/mahout/trunk/content/users/classification/locally-weighted-linear-regression.html (original)
+++ websites/staging/mahout/trunk/content/users/classification/locally-weighted-linear-regression.html Mon Nov 11 07:46:02 2013
@@ -36,21 +36,21 @@
natural language processing,
supervised, text mining, time series data, unsupervised, web data mining">
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@@ -303,7 +303,7 @@
top of Apache Hadoop using the map/reduce paradigm
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the project itself but also on potential use cases
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Modified: websites/staging/mahout/trunk/content/users/classification/logistic-regression.html
==============================================================================
--- websites/staging/mahout/trunk/content/users/classification/logistic-regression.html (original)
+++ websites/staging/mahout/trunk/content/users/classification/logistic-regression.html Mon Nov 11 07:46:02 2013
@@ -36,21 +36,21 @@
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supervised, text mining, time series data, unsupervised, web data mining">
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+ <li><a href="/users/clustering/clustering-of-synthetic-control-data.html">Example: Synthetic data</a></li>
+ <li><a href="/users/clustering/clustering-seinfeld-episodes.html">Example: Seinfeld</a></li>
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- <li><a href="/content/users/clustering/visualizing-sample-clusters.html">Cluster visualisation</a></li>
+ <li><a href="/users/clustering/viewing-result.html">Viewing results, part a</a></li>
+ <li><a href="/users/clustering/viewing-results.html">Viewing results, part b</a></li>
+ <li><a href="/users/clustering/visualizing-sample-clusters.html">Cluster visualisation</a></li>
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- <li><a href="/content/users/clustering/spectral-clustering.html">Design Spectral</a></li>
+ <li><a href="/users/clustering/expectation-maximization.html">Design EM</a></li>
+ <li><a href="/users/clustering/hierarchical-clustering.html">Design hierarchical</a></li>
+ <li><a href="/users/clustering/llr---log-likelihood-ratio.html">Design LLR</a></li>
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- <li><a href="/content/users/recommender/pearsoncorrelation.html">Pearson Correlation</a></li>
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+ <li><a href="/users/recommender/recommender-first-timer-faq.html">First Timer FAQ</a></li>
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- <li><a href="/content/users/emr/use-an-existing-hadoop-ami.html">Mahout on existing Hadoop AMI</a></li>
+ <li><a href="/users/emr/mahout-on-amazon-ec2.html">Mahout on EC2</a></li>
+ <li><a href="/users/emr/mahout-on-elastic-mapreduce.html">Mahout on EMR</a></li>
+ <li><a href="/users/emr/use-an-existing-hadoop-ami.html">Mahout on existing Hadoop AMI</a></li>
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- <li><a href="/content/users/stuff/using-mahout-with-python-via-jpype.html">Mahout from Jython</a></li>
+ <li><a href="/users/stuff/hidden-markov-models.html">HMM</a></li>
+ <li><a href="/users/stuff/mr---map-reduce.html">Map Reduce</a></li>
+ <li><a href="/users/stuff/parallel-frequent-pattern-mining.html">Frequent pattern mining</a></li>
+ <li><a href="/users/stuff/partial-implementation.html">Partial Impl</a></li>
+ <li><a href="/users/stuff/perceptron-and-winnow.html">Perceptron/Winnow</a></li>
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+ <li><a href="/users/stuff/traveling-salesman.html">Traveling Salesman</a></li>
+ <li><a href="/users/stuff/using-mahout-with-python-via-jpype.html">Mahout from Jython</a></li>
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@@ -290,7 +290,7 @@
classification, collaborative filtering and frequent pattern mining
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+ <img alt="Apache Mahout" src="/images/mantle-mahout.png">
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@@ -303,7 +303,7 @@
top of Apache Hadoop using the map/reduce paradigm
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<div class="mantle">
- <img alt="Hadoop" src="/content/images/mantle-hadoop.png">
+ <img alt="Hadoop" src="/images/mantle-hadoop.png">
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@@ -315,7 +315,7 @@
the project itself but also on potential use cases
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+ <img alt="Apache Mahout community" src="/images/mantle-community.png">
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@@ -326,7 +326,7 @@
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+ <img alt="Apache Software Foundation" src="/images/mantle-asf.png">
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+ <img alt="Download Apache Mahout" src="/images/download.png"></a>
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@@ -484,8 +484,8 @@ TrainNewsGroups example code.</p>
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+ <script src="/js/jquery-1.9.1.min.js"></script>
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Modified: websites/staging/mahout/trunk/content/users/classification/naivebayes.html
==============================================================================
--- websites/staging/mahout/trunk/content/users/classification/naivebayes.html (original)
+++ websites/staging/mahout/trunk/content/users/classification/naivebayes.html Mon Nov 11 07:46:02 2013
@@ -36,21 +36,21 @@
natural language processing,
supervised, text mining, time series data, unsupervised, web data mining">
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@@ -125,153 +125,153 @@
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+ <li><a href="/users/basics/collocations.html">Co-Locations</a>
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+ <li><a href="/users/basics/gaussian-discriminative-analysis.html">Gaussian discriminative analysis</a>
+ <li><a href="/users/basics/independent-component-analysis.html">Independent component analysis</a>
+ <li><a href="/users/basics/mahout.ga.tutorial.html">GA tutorial</a>
+ <li><a href="/users/basics/principal-components-analysis.html">Principal components analysis</a>
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- <li><a href="/content/users/clustering/twenty-newsgroups.html">20 newsgroups example</a></li>
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- <li><a href="/content/users/classification/class-discovery.html">Class discovery</a></li>
- <li><a href="/content/users/classification/logistic-regression.html">Design logisitic regression</a></li>
+ <li><a href="/users/classification/classifyingyourdata.html">Classifying data</a></li>
+ <li><a href="/users/classification/naivebayes.html">Design naive bayes</a></li>
+ <li><a href="/users/classification/complementary-naive-bayes.html">Design complimentary bayes</a></li>
+ <li><a href="/users/classification/bayesian-commandline.html">Bayes command line</a></li>
+ <li><a href="/users/classification/bayesian.html">Bayes design doc</a></li>
+ <li><a href="/users/classification/wikipedia-bayes-example.html">Wikipedia Example</a></li>
+ <li><a href="/users/clustering/20newsgroups.html">20 newsgroups example</a></li>
+ <li><a href="/users/clustering/twenty-newsgroups.html">20 newsgroups example</a></li>
+ <li><a href="/users/classification/breiman-example.html">Breiman example</a></li>
+ <li><a href="/users/classification/class-discovery.html">Class discovery</a></li>
+ <li><a href="/users/classification/logistic-regression.html">Design logisitic regression</a></li>
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- <li><a href="/content/users/classification/locally-weighted-linear-regression.html">Design locally weighted regression</a></li>
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- <li><a href="/content/users/classification/support-vector-machines.html">Design SVM</a></li>
+ <li><a href="/users/classification/locally-weighted-linear-regression.html">Design locally weighted regression</a></li>
+ <li><a href="/users/classification/neural-network.html">Design neural networks</a></li>
+ <li><a href="/users/classification/random-forests.html">Design random forests</a></li>
+ <li><a href="/users/classification/restricted-boltzmann-machines.html">Design restricted boltzmann machines</a></li>
+ <li><a href="/users/classification/support-vector-machines.html">Design SVM</a></li>
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- <li><a href="/content/users/clustering/cluster-dumper.html">Cluster dumper tool</a></li>
+ <li><a href="/users/clustering/clusteringyourdata.html">Overview</a></li>
+ <li><a href="/users/clustering/cluster-dumper.html">Cluster dumper tool</a></li>
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- <li><a href="/content/users/clustering/canopy-commandline.html">Commandline Canopy clustering</a></li>
- <li><a href="/content/users/clustering/dirichlet-process-clustering.html">Design Dirichlet clustering</a></li>
- <li><a href="/content/users/clustering/dirichlet-commandline.html">Commandline Dirichlet clustering</a></li>
- <li><a href="/content/users/clustering/fuzzy-k-means.html">Design Fuzzy k-Means</a></li>
- <li><a href="/content/users/clustering/fuzzy-k-means-commandline.html">Commandline Fuzzy k-Means</a></li>
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- <li><a href="/content/users/clustering/mean-shift-commandline.html">Commandline Meanshift</a></li>
+ <li><a href="/users/clustering/k-means-clustering.html">Design k-Means clustering</a></li>
+ <li><a href="/users/clustering/k-means-commandline.html">Commandline k-Means</a></li>
+ <li><a href="/users/clustering/canopy-clustering.html">Design Canopy clustering</a></li>
+ <li><a href="/users/clustering/canopy-commandline.html">Commandline Canopy clustering</a></li>
+ <li><a href="/users/clustering/dirichlet-process-clustering.html">Design Dirichlet clustering</a></li>
+ <li><a href="/users/clustering/dirichlet-commandline.html">Commandline Dirichlet clustering</a></li>
+ <li><a href="/users/clustering/fuzzy-k-means.html">Design Fuzzy k-Means</a></li>
+ <li><a href="/users/clustering/fuzzy-k-means-commandline.html">Commandline Fuzzy k-Means</a></li>
+ <li><a href="/users/clustering/latent-dirichlet-allocation.html">Design LDA</a></li>
+ <li><a href="/users/clustering/lda-commandline.html">Commandline LDA</a></li>
+ <li><a href="/users/clustering/mean-shift-clustering.html">Design Meanshift</a></li>
+ <li><a href="/users/clustering/mean-shift-commandline.html">Commandline Meanshift</a></li>
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- <li><a href="/content/users/clustering/clustering-of-synthetic-control-data.html">Example: Synthetic data</a></li>
- <li><a href="/content/users/clustering/clustering-seinfeld-episodes.html">Example: Seinfeld</a></li>
+ <li><a href="/users/clustering/clustering-of-synthetic-control-data.html">Example: Synthetic data</a></li>
+ <li><a href="/users/clustering/clustering-seinfeld-episodes.html">Example: Seinfeld</a></li>
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<li class="nav-header">Post processing</li>
- <li><a href="/content/users/clustering/viewing-result.html">Viewing results, part a</a></li>
- <li><a href="/content/users/clustering/viewing-results.html">Viewing results, part b</a></li>
- <li><a href="/content/users/clustering/visualizing-sample-clusters.html">Cluster visualisation</a></li>
+ <li><a href="/users/clustering/viewing-result.html">Viewing results, part a</a></li>
+ <li><a href="/users/clustering/viewing-results.html">Viewing results, part b</a></li>
+ <li><a href="/users/clustering/visualizing-sample-clusters.html">Cluster visualisation</a></li>
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- <li><a href="/content/users/clustering/expectation-maximization.html">Design EM</a></li>
- <li><a href="/content/users/clustering/hierarchical-clustering.html">Design hierarchical</a></li>
- <li><a href="/content/users/clustering/llr---log-likelihood-ratio.html">Design LLR</a></li>
- <li><a href="/content/users/clustering/spectral-clustering.html">Design Spectral</a></li>
+ <li><a href="/users/clustering/expectation-maximization.html">Design EM</a></li>
+ <li><a href="/users/clustering/hierarchical-clustering.html">Design hierarchical</a></li>
+ <li><a href="/users/clustering/llr---log-likelihood-ratio.html">Design LLR</a></li>
+ <li><a href="/users/clustering/spectral-clustering.html">Design Spectral</a></li>
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- <li><a href="/content/users/recommender/itembased-collaborative-filtering.html">Item based collaborative filtering</a></li>
- <li><a href="/content/users/recommender/pearsoncorrelation.html">Pearson Correlation</a></li>
+ <li><a href="/users/recommender/recommender-documentation.html">General</a></li>
+ <li><a href="/users/recommender/recommendationexamples.html">Example</a></li>
+ <li><a href="/users/recommender/tastecommandline.html">Taste Commandline</a></li>
+ <li><a href="/users/recommender/recommender-first-timer-faq.html">First Timer FAQ</a></li>
+ <li><a href="/users/recommender/itembased-collaborative-filtering.html">Item based collaborative filtering</a></li>
+ <li><a href="/users/recommender/pearsoncorrelation.html">Pearson Correlation</a></li>
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<li class="nav-header">Recommenders on EMR</li>
- <li><a href="/content/users/emr/mahout-on-amazon-ec2.html">Mahout on EC2</a></li>
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- <li><a href="/content/users/emr/use-an-existing-hadoop-ami.html">Mahout on existing Hadoop AMI</a></li>
+ <li><a href="/users/emr/mahout-on-amazon-ec2.html">Mahout on EC2</a></li>
+ <li><a href="/users/emr/mahout-on-elastic-mapreduce.html">Mahout on EMR</a></li>
+ <li><a href="/users/emr/use-an-existing-hadoop-ami.html">Mahout on existing Hadoop AMI</a></li>
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- <li><a href="/content/users/stuff/traveling-salesman.html">Traveling Salesman</a></li>
- <li><a href="/content/users/stuff/using-mahout-with-python-via-jpype.html">Mahout from Jython</a></li>
+ <li><a href="/users/stuff/hidden-markov-models.html">HMM</a></li>
+ <li><a href="/users/stuff/mr---map-reduce.html">Map Reduce</a></li>
+ <li><a href="/users/stuff/parallel-frequent-pattern-mining.html">Frequent pattern mining</a></li>
+ <li><a href="/users/stuff/partial-implementation.html">Partial Impl</a></li>
+ <li><a href="/users/stuff/perceptron-and-winnow.html">Perceptron/Winnow</a></li>
+ <li><a href="/users/stuff/testing.html">Testing</a></li>
+ <li><a href="/users/stuff/traveling-salesman.html">Traveling Salesman</a></li>
+ <li><a href="/users/stuff/using-mahout-with-python-via-jpype.html">Mahout from Jython</a></li>
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@@ -290,7 +290,7 @@
classification, collaborative filtering and frequent pattern mining
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<div class="mantle">
- <img alt="Apache Mahout" src="/content/images/mantle-mahout.png">
+ <img alt="Apache Mahout" src="/images/mantle-mahout.png">
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@@ -303,7 +303,7 @@
top of Apache Hadoop using the map/reduce paradigm
</div>
<div class="mantle">
- <img alt="Hadoop" src="/content/images/mantle-hadoop.png">
+ <img alt="Hadoop" src="/images/mantle-hadoop.png">
</div>
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@@ -315,7 +315,7 @@
the project itself but also on potential use cases
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<div class="mantle">
- <img alt="Apache Mahout community" src="/content/images/mantle-community.png">
+ <img alt="Apache Mahout community" src="/images/mantle-community.png">
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@@ -326,7 +326,7 @@
Apache Mahout is distributed under a commercially friendly Apache Software license
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<div class="mantle">
- <img alt="Apache Software Foundation" src="/content/images/mantle-asf.png">
+ <img alt="Apache Software Foundation" src="/images/mantle-asf.png">
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@@ -349,7 +349,7 @@
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<a href="http://cwiki.apache.org/confluence/display/MAHOUT/Downloads">
- <img alt="Download Apache Mahout" src="/content/images/download.png"></a>
+ <img alt="Download Apache Mahout" src="/images/download.png"></a>
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<div id="sidebar-wrap">
<ul class="sidemenu">
@@ -425,8 +425,8 @@ using the 20 Newsgroups data available a
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</footer>
- <script src="/content/js/jquery-1.9.1.min.js"></script>
- <script src="/content/js/bootstrap.min.js"></script>
+ <script src="/js/jquery-1.9.1.min.js"></script>
+ <script src="/js/bootstrap.min.js"></script>
<script>
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var cx = '012254517474945470291:vhsfv7eokdc';