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http://git-wip-us.apache.org/repos/asf/mahout/blob/5112e9ec/docs/latest/algorithms/map-reduce/classification/collocations.html
----------------------------------------------------------------------
diff --git a/docs/latest/algorithms/map-reduce/classification/collocations.html 
b/docs/latest/algorithms/map-reduce/classification/collocations.html
index e52c53c..55942c8 100644
--- a/docs/latest/algorithms/map-reduce/classification/collocations.html
+++ b/docs/latest/algorithms/map-reduce/classification/collocations.html
@@ -1,312 +1,169 @@
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-    <div class="col-md-8">
-        <div class="page-header">
-            <h1>(Deprecated)  Collocations </h1>
-        </div>
-        <p><a name="Collocations-CollocationsinMahout"></a></p>
+  <div class="container mt-5 pb-4">
+
+  <div class="row">
+
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+      <p><a name="Collocations-CollocationsinMahout"></a></p>
 <h1 id="collocations-in-mahout">Collocations in Mahout</h1>
 
 <p>A collocation is defined as a sequence of words or terms which co-occur
@@ -403,7 +260,7 @@ specified LLR score from being emitted, and the 
–minSupport argument can
 be used to filter out collocations that appear below a certain number of
 times.</p>
 
-<pre><code>bin/mahout seq2sparse
+<div class="highlighter-rouge"><pre class="highlight"><code>bin/mahout 
seq2sparse
 
 Usage:                                                                     
      [--minSupport &lt;minSupport&gt; --analyzerName &lt;analyzerName&gt; 
--chunkSize &lt;chunkSize&gt;
@@ -453,11 +310,12 @@ Options
                                      be SequentialAccessVectors If set true    
                                      else false 
 </code></pre>
+</div>
 
 <p><a name="Collocations-CollocDriver"></a></p>
 <h3 id="collocdriver">CollocDriver</h3>
 
-<pre><code>bin/mahout 
org.apache.mahout.vectorizer.collocations.llr.CollocDriver
+<div class="highlighter-rouge"><pre class="highlight"><code>bin/mahout 
org.apache.mahout.vectorizer.collocations.llr.CollocDriver
 
 Usage:                                                                     
  [--input &lt;input&gt; --output &lt;output&gt; --maxNGramSize 
&lt;ngramSize&gt; --overwrite    
@@ -497,6 +355,7 @@ Options
    
   --help (-h)                        Print out help          
 </code></pre>
+</div>
 
 <p><a name="Collocations-Algorithmdetails"></a></p>
 <h2 id="algorithm-details">Algorithm details</h2>
@@ -528,7 +387,7 @@ frequencies are collected across the entire document.</p>
 <p>Once this is done, ngrams are split into head and tail portions. A key of 
type GramKey is generated which is used later to join ngrams with their heads 
and tails in the reducer phase. The GramKey is a composite key made up of a 
string n-gram fragement as the primary key and a secondary key used for 
grouping and sorting in the reduce phase. The secondary key will either be 
EMPTY in the case where we are collecting either the head or tail of an ngram 
as the value or it will contain the byte<a href=".html"></a>
  form of the ngram when collecting an ngram as the value.</p>
 
-<pre><code>head_key(EMPTY) -&gt; (head subgram, head frequency)
+<div class="highlighter-rouge"><pre class="highlight"><code>head_key(EMPTY) 
-&gt; (head subgram, head frequency)
 
 head_key(ngram) -&gt; (ngram, ngram frequency) 
 
@@ -536,6 +395,7 @@ tail_key(EMPTY) -&gt; (tail subgram, tail frequency)
 
 tail_key(ngram) -&gt; (ngram, ngram frequency)
 </code></pre>
+</div>
 
 <p>subgram and ngram values are packaged in Gram objects.</p>
 
@@ -577,7 +437,7 @@ or (subgram_key, ngram) tuple; one from each map task 
executed in which the
 particular subgram was found.
 The input will be traversed in the following order:</p>
 
-<pre><code>(head subgram, frequency 1)
+<div class="highlighter-rouge"><pre class="highlight"><code>(head subgram, 
frequency 1)
 (head subgram, frequency 2)
 ... 
 (head subgram, frequency N)
@@ -595,6 +455,7 @@ The input will be traversed in the following order:</p>
 ...
 (ngram N, frequency N)
 </code></pre>
+</div>
 
 <p>Where all of the ngrams above share the same head. Data is presented in the
 same manner for the tail subgrams.</p>
@@ -608,18 +469,20 @@ be incremented.</p>
 
 <p>Pairs are passed to the collector in the following format:</p>
 
-<pre><code>ngram, ngram frequency -&gt; subgram subgram frequency
+<div class="highlighter-rouge"><pre class="highlight"><code>ngram, ngram 
frequency -&gt; subgram subgram frequency
 </code></pre>
+</div>
 
 <p>In this manner, the output becomes an unsorted version of the following:</p>
 
-<pre><code>ngram 1, frequency -&gt; ngram 1 head, head frequency
+<div class="highlighter-rouge"><pre class="highlight"><code>ngram 1, frequency 
-&gt; ngram 1 head, head frequency
 ngram 1, frequency -&gt; ngram 1 tail, tail frequency
 ngram 2, frequency -&gt; ngram 2 head, head frequency
 ngram 2, frequency -&gt; ngram 2 tail, tail frequency
 ngram N, frequency -&gt; ngram N head, head frequency
 ngram N, frequency -&gt; ngram N tail, tail frequency
 </code></pre>
+</div>
 
 <p>Output is in the format k:Gram (ngram, frequency), v:Gram (subgram,
 frequency)</p>
@@ -644,11 +507,12 @@ the work for llr calculation is done in the reduce 
phase.</p>
 <p>This phase receives the head and tail subgrams and their frequencies for
 each ngram (with frequency) produced for the input:</p>
 
-<pre><code>ngram 1, frequency -&gt; ngram 1 head, frequency; ngram 1 tail, 
frequency
+<div class="highlighter-rouge"><pre class="highlight"><code>ngram 1, frequency 
-&gt; ngram 1 head, frequency; ngram 1 tail, frequency
 ngram 2, frequency -&gt; ngram 2 head, frequency; ngram 2 tail, frequency
 ...
 ngram 1, frequency -&gt; ngram N head, frequency; ngram N tail, frequency
 </code></pre>
+</div>
 
 <p>It also reads the full ngram count obtained from the first pass, passed in
 as a configuration option. The parameters to the llr calculation are
@@ -677,32 +541,25 @@ subject to filtering with minSupport and minLLR.</p>
 
 
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