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From dlyubi...@apache.org
Subject [32/51] [partial] mahout git commit: Adding math-scala scaladoc from release.
Date Fri, 29 May 2015 19:00:23 GMT
http://git-wip-us.apache.org/repos/asf/mahout/blob/908aa498/docs/math-scala/org/apache/mahout/math/cf/SimilarityAnalysis$.html
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+<?xml version='1.0' encoding='UTF-8'?>
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN" "http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd">
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+          <title>SimilarityAnalysis - Mahout Math Scala bindings 0.10.0 API - org.apache.mahout.math.cf.SimilarityAnalysis</title>
+          <meta name="description" content="SimilarityAnalysis - Mahout Math Scala bindings 0.10.0 API - org.apache.mahout.math.cf.SimilarityAnalysis" />
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+        <h1>SimilarityAnalysis</h1>
+      </div>
+
+      <h4 id="signature" class="signature">
+      <span class="modifier_kind">
+        <span class="modifier"></span>
+        <span class="kind">object</span>
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+      <span class="symbol">
+        <span class="name">SimilarityAnalysis</span><span class="result"> extends <span class="extype" name="scala.Serializable">Serializable</span></span>
+      </span>
+      </h4>
+      
+          <div id="comment" class="fullcommenttop"><div class="comment cmt"><p>Based on &quot;Ted Dunnning &amp; Ellen Friedman: Practical Machine Learning, Innovations in Recommendation&quot;,
+available at http://www.mapr.com/practical-machine-learning</p><p>see also &quot;Sebastian Schelter, Christoph Boden, Volker Markl:
+Scalable Similarity-Based Neighborhood Methods with MapReduce
+ACM Conference on Recommender Systems 2012&quot;
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+      <a id="clone():AnyRef"></a>
+      <h4 class="signature">
+      <span class="modifier_kind">
+        <span class="modifier"></span>
+        <span class="kind">def</span>
+      </span>
+      <span class="symbol">
+        <span class="name">clone</span><span class="params">()</span><span class="result">: <span class="extype" name="scala.AnyRef">AnyRef</span></span>
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+      <div class="fullcomment"><dl class="attributes block"> <dt>Attributes</dt><dd>protected[<a href="../../../../../java$lang.html" class="extype" name="java.lang">java.lang</a>] </dd><dt>Definition Classes</dt><dd>AnyRef</dd><dt>Annotations</dt><dd>
+                <span class="name">@throws</span><span class="args">(<span>
+      
+      <span class="defval" name="classOf[java.lang.CloneNotSupportedException]">...</span>
+    </span>)</span>
+              
+        </dd></dl></div>
+    </li><li name="org.apache.mahout.math.cf.SimilarityAnalysis#computeSimilarities" visbl="pub" data-isabs="false" fullComment="no" group="Ungrouped">
+      <a id="computeSimilarities(drm:org.apache.mahout.math.drm.DrmLike[Int],numUsers:Int,maxInterestingItemsPerThing:Int,bcastNumInteractionsB:org.apache.mahout.math.drm.BCast[org.apache.mahout.math.Vector],bcastNumInteractionsA:org.apache.mahout.math.drm.BCast[org.apache.mahout.math.Vector],crossCooccurrence:Boolean):org.apache.mahout.math.drm.DrmLike[Int]"></a>
+      <a id="computeSimilarities(DrmLike[Int],Int,Int,BCast[Vector],BCast[Vector],Boolean):DrmLike[Int]"></a>
+      <h4 class="signature">
+      <span class="modifier_kind">
+        <span class="modifier"></span>
+        <span class="kind">def</span>
+      </span>
+      <span class="symbol">
+        <span class="name">computeSimilarities</span><span class="params">(<span name="drm">drm: <a href="../drm/DrmLike.html" class="extype" name="org.apache.mahout.math.drm.DrmLike">DrmLike</a>[<span class="extype" name="scala.Int">Int</span>]</span>, <span name="numUsers">numUsers: <span class="extype" name="scala.Int">Int</span></span>, <span name="maxInterestingItemsPerThing">maxInterestingItemsPerThing: <span class="extype" name="scala.Int">Int</span></span>, <span name="bcastNumInteractionsB">bcastNumInteractionsB: <a href="../drm/BCast.html" class="extype" name="org.apache.mahout.math.drm.BCast">BCast</a>[<span class="extype" name="org.apache.mahout.math.Vector">Vector</span>]</span>, <span name="bcastNumInteractionsA">bcastNumInteractionsA: <a href="../drm/BCast.html" class="extype" name="org.apache.mahout.math.drm.BCast">BCast</a>[<span class="extype" name="org.apache.mahout.math.Vector">Vector</span>]</span>, <span name="crossCooccurrence">crossCooccurrence: <span class="
 extype" name="scala.Boolean">Boolean</span> = <span class="symbol">true</span></span>)</span><span class="result">: <a href="../drm/DrmLike.html" class="extype" name="org.apache.mahout.math.drm.DrmLike">DrmLike</a>[<span class="extype" name="scala.Int">Int</span>]</span>
+      </span>
+      </h4>
+      
+    </li><li name="org.apache.mahout.math.cf.SimilarityAnalysis#cooccurrences" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
+      <a id="cooccurrences(drmARaw:org.apache.mahout.math.drm.DrmLike[Int],randomSeed:Int,maxInterestingItemsPerThing:Int,maxNumInteractions:Int,drmBs:Array[org.apache.mahout.math.drm.DrmLike[Int]]):List[org.apache.mahout.math.drm.DrmLike[Int]]"></a>
+      <a id="cooccurrences(DrmLike[Int],Int,Int,Int,Array[DrmLike[Int]]):List[DrmLike[Int]]"></a>
+      <h4 class="signature">
+      <span class="modifier_kind">
+        <span class="modifier"></span>
+        <span class="kind">def</span>
+      </span>
+      <span class="symbol">
+        <span class="name">cooccurrences</span><span class="params">(<span name="drmARaw">drmARaw: <a href="../drm/DrmLike.html" class="extype" name="org.apache.mahout.math.drm.DrmLike">DrmLike</a>[<span class="extype" name="scala.Int">Int</span>]</span>, <span name="randomSeed">randomSeed: <span class="extype" name="scala.Int">Int</span> = <span class="symbol">0xdeadbeef</span></span>, <span name="maxInterestingItemsPerThing">maxInterestingItemsPerThing: <span class="extype" name="scala.Int">Int</span> = <span class="symbol">50</span></span>, <span name="maxNumInteractions">maxNumInteractions: <span class="extype" name="scala.Int">Int</span> = <span class="symbol">500</span></span>, <span name="drmBs">drmBs: <span class="extype" name="scala.Array">Array</span>[<a href="../drm/DrmLike.html" class="extype" name="org.apache.mahout.math.drm.DrmLike">DrmLike</a>[<span class="extype" name="scala.Int">Int</span>]] = <span class="symbol">Array()</span></span>)</span><span class="result">: 
 <span class="extype" name="scala.List">List</span>[<a href="../drm/DrmLike.html" class="extype" name="org.apache.mahout.math.drm.DrmLike">DrmLike</a>[<span class="extype" name="scala.Int">Int</span>]]</span>
+      </span>
+      </h4>
+      <p class="shortcomment cmt">Calculates item (column-wise) similarity using the log-likelihood ratio on A'A, A'B, A'C, .</p><div class="fullcomment"><div class="comment cmt"><p>Calculates item (column-wise) similarity using the log-likelihood ratio on A'A, A'B, A'C, ...
+and returns a list of similarity and cross-similarity matrices</p></div><dl class="paramcmts block"><dt class="param">drmARaw</dt><dd class="cmt"><p>Primary interaction matrix</p></dd><dt class="param">randomSeed</dt><dd class="cmt"><p>when kept to a constant will make repeatable downsampling</p></dd><dt class="param">maxInterestingItemsPerThing</dt><dd class="cmt"><p>number of similar items to return per item, default: 50</p></dd><dt class="param">maxNumInteractions</dt><dd class="cmt"><p>max number of interactions after downsampling, default: 500</p></dd><dt>returns</dt><dd class="cmt"><p>a list of <a href="../drm/DrmLike.html" class="extype" name="org.apache.mahout.math.drm.DrmLike">org.apache.mahout.math.drm.DrmLike</a> containing downsampled DRMs for cooccurrence and
+        cross-cooccurrence
+</p></dd></dl></div>
+    </li><li name="org.apache.mahout.math.cf.SimilarityAnalysis#cooccurrencesIDSs" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
+      <a id="cooccurrencesIDSs(indexedDatasets:Array[org.apache.mahout.math.indexeddataset.IndexedDataset],randomSeed:Int,maxInterestingItemsPerThing:Int,maxNumInteractions:Int):List[org.apache.mahout.math.indexeddataset.IndexedDataset]"></a>
+      <a id="cooccurrencesIDSs(Array[IndexedDataset],Int,Int,Int):List[IndexedDataset]"></a>
+      <h4 class="signature">
+      <span class="modifier_kind">
+        <span class="modifier"></span>
+        <span class="kind">def</span>
+      </span>
+      <span class="symbol">
+        <span class="name">cooccurrencesIDSs</span><span class="params">(<span name="indexedDatasets">indexedDatasets: <span class="extype" name="scala.Array">Array</span>[<a href="../indexeddataset/IndexedDataset.html" class="extype" name="org.apache.mahout.math.indexeddataset.IndexedDataset">IndexedDataset</a>]</span>, <span name="randomSeed">randomSeed: <span class="extype" name="scala.Int">Int</span> = <span class="symbol">0xdeadbeef</span></span>, <span name="maxInterestingItemsPerThing">maxInterestingItemsPerThing: <span class="extype" name="scala.Int">Int</span> = <span class="symbol">50</span></span>, <span name="maxNumInteractions">maxNumInteractions: <span class="extype" name="scala.Int">Int</span> = <span class="symbol">500</span></span>)</span><span class="result">: <span class="extype" name="scala.List">List</span>[<a href="../indexeddataset/IndexedDataset.html" class="extype" name="org.apache.mahout.math.indexeddataset.IndexedDataset">IndexedDataset</a>]</span>
+      </span>
+      </h4>
+      <p class="shortcomment cmt">Calculates item (column-wise) similarity using the log-likelihood ratio on A'A, A'B, A'C, .</p><div class="fullcomment"><div class="comment cmt"><p>Calculates item (column-wise) similarity using the log-likelihood ratio on A'A, A'B, A'C, ... and returns
+a list of similarity and cross-similarity matrices. Somewhat easier to use method, which handles the ID
+dictionaries correctly</p></div><dl class="paramcmts block"><dt class="param">indexedDatasets</dt><dd class="cmt"><p>first in array is primary/A matrix all others are treated as secondary</p></dd><dt class="param">randomSeed</dt><dd class="cmt"><p>use default to make repeatable, otherwise pass in system time or some randomizing seed</p></dd><dt class="param">maxInterestingItemsPerThing</dt><dd class="cmt"><p>max similarities per items</p></dd><dt class="param">maxNumInteractions</dt><dd class="cmt"><p>max number of input items per item</p></dd><dt>returns</dt><dd class="cmt"><p>a list of <a href="../indexeddataset/IndexedDataset.html" class="extype" name="org.apache.mahout.math.indexeddataset.IndexedDataset">org.apache.mahout.math.indexeddataset.IndexedDataset</a> containing downsampled
+        IndexedDatasets for cooccurrence and cross-cooccurrence
+</p></dd></dl></div>
+    </li><li name="scala.AnyRef#eq" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
+      <a id="eq(x$1:AnyRef):Boolean"></a>
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+      <h4 class="signature">
+      <span class="modifier_kind">
+        <span class="modifier">final </span>
+        <span class="kind">def</span>
+      </span>
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+        <span class="name">eq</span><span class="params">(<span name="arg0">arg0: <span class="extype" name="scala.AnyRef">AnyRef</span></span>)</span><span class="result">: <span class="extype" name="scala.Boolean">Boolean</span></span>
+      </span>
+      </h4>
+      <div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>AnyRef</dd></dl></div>
+    </li><li name="scala.AnyRef#equals" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
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+      <h4 class="signature">
+      <span class="modifier_kind">
+        <span class="modifier"></span>
+        <span class="kind">def</span>
+      </span>
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+      </span>
+      </h4>
+      <div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>AnyRef → Any</dd></dl></div>
+    </li><li name="scala.AnyRef#finalize" visbl="prt" data-isabs="false" fullComment="yes" group="Ungrouped">
+      <a id="finalize():Unit"></a>
+      <a id="finalize():Unit"></a>
+      <h4 class="signature">
+      <span class="modifier_kind">
+        <span class="modifier"></span>
+        <span class="kind">def</span>
+      </span>
+      <span class="symbol">
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+      </span>
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+                <span class="name">@throws</span><span class="args">(<span>
+      
+      <span class="symbol">classOf[java.lang.Throwable]</span>
+    </span>)</span>
+              
+        </dd></dl></div>
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+      <h4 class="signature">
+      <span class="modifier_kind">
+        <span class="modifier">final </span>
+        <span class="kind">def</span>
+      </span>
+      <span class="symbol">
+        <span class="name">getClass</span><span class="params">()</span><span class="result">: <span class="extype" name="java.lang.Class">Class</span>[_]</span>
+      </span>
+      </h4>
+      <div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>AnyRef → Any</dd></dl></div>
+    </li><li name="scala.AnyRef#hashCode" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
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+      <h4 class="signature">
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+        <span class="kind">def</span>
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+      </span>
+      </h4>
+      <div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>AnyRef → Any</dd></dl></div>
+    </li><li name="scala.Any#isInstanceOf" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
+      <a id="isInstanceOf[T0]:Boolean"></a>
+      <a id="isInstanceOf[T0]:Boolean"></a>
+      <h4 class="signature">
+      <span class="modifier_kind">
+        <span class="modifier">final </span>
+        <span class="kind">def</span>
+      </span>
+      <span class="symbol">
+        <span class="name">isInstanceOf</span><span class="tparams">[<span name="T0">T0</span>]</span><span class="result">: <span class="extype" name="scala.Boolean">Boolean</span></span>
+      </span>
+      </h4>
+      <div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>Any</dd></dl></div>
+    </li><li name="org.apache.mahout.math.cf.SimilarityAnalysis#logLikelihoodRatio" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
+      <a id="logLikelihoodRatio(numInteractionsWithA:Long,numInteractionsWithB:Long,numInteractionsWithAandB:Long,numInteractions:Long):Double"></a>
+      <a id="logLikelihoodRatio(Long,Long,Long,Long):Double"></a>
+      <h4 class="signature">
+      <span class="modifier_kind">
+        <span class="modifier"></span>
+        <span class="kind">def</span>
+      </span>
+      <span class="symbol">
+        <span class="name">logLikelihoodRatio</span><span class="params">(<span name="numInteractionsWithA">numInteractionsWithA: <span class="extype" name="scala.Long">Long</span></span>, <span name="numInteractionsWithB">numInteractionsWithB: <span class="extype" name="scala.Long">Long</span></span>, <span name="numInteractionsWithAandB">numInteractionsWithAandB: <span class="extype" name="scala.Long">Long</span></span>, <span name="numInteractions">numInteractions: <span class="extype" name="scala.Long">Long</span></span>)</span><span class="result">: <span class="extype" name="scala.Double">Double</span></span>
+      </span>
+      </h4>
+      <p class="shortcomment cmt">Compute loglikelihood ratio see http://tdunning.</p><div class="fullcomment"><div class="comment cmt"><p>Compute loglikelihood ratio see http://tdunning.blogspot.de/2008/03/surprise-and-coincidence.html for details</p></div></div>
+    </li><li name="scala.AnyRef#ne" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
+      <a id="ne(x$1:AnyRef):Boolean"></a>
+      <a id="ne(AnyRef):Boolean"></a>
+      <h4 class="signature">
+      <span class="modifier_kind">
+        <span class="modifier">final </span>
+        <span class="kind">def</span>
+      </span>
+      <span class="symbol">
+        <span class="name">ne</span><span class="params">(<span name="arg0">arg0: <span class="extype" name="scala.AnyRef">AnyRef</span></span>)</span><span class="result">: <span class="extype" name="scala.Boolean">Boolean</span></span>
+      </span>
+      </h4>
+      <div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>AnyRef</dd></dl></div>
+    </li><li name="scala.AnyRef#notify" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
+      <a id="notify():Unit"></a>
+      <a id="notify():Unit"></a>
+      <h4 class="signature">
+      <span class="modifier_kind">
+        <span class="modifier">final </span>
+        <span class="kind">def</span>
+      </span>
+      <span class="symbol">
+        <span class="name">notify</span><span class="params">()</span><span class="result">: <span class="extype" name="scala.Unit">Unit</span></span>
+      </span>
+      </h4>
+      <div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>AnyRef</dd></dl></div>
+    </li><li name="scala.AnyRef#notifyAll" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
+      <a id="notifyAll():Unit"></a>
+      <a id="notifyAll():Unit"></a>
+      <h4 class="signature">
+      <span class="modifier_kind">
+        <span class="modifier">final </span>
+        <span class="kind">def</span>
+      </span>
+      <span class="symbol">
+        <span class="name">notifyAll</span><span class="params">()</span><span class="result">: <span class="extype" name="scala.Unit">Unit</span></span>
+      </span>
+      </h4>
+      <div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>AnyRef</dd></dl></div>
+    </li><li name="org.apache.mahout.math.cf.SimilarityAnalysis#rowSimilarity" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
+      <a id="rowSimilarity(drmARaw:org.apache.mahout.math.drm.DrmLike[Int],randomSeed:Int,maxInterestingSimilaritiesPerRow:Int,maxNumInteractions:Int):org.apache.mahout.math.drm.DrmLike[Int]"></a>
+      <a id="rowSimilarity(DrmLike[Int],Int,Int,Int):DrmLike[Int]"></a>
+      <h4 class="signature">
+      <span class="modifier_kind">
+        <span class="modifier"></span>
+        <span class="kind">def</span>
+      </span>
+      <span class="symbol">
+        <span class="name">rowSimilarity</span><span class="params">(<span name="drmARaw">drmARaw: <a href="../drm/DrmLike.html" class="extype" name="org.apache.mahout.math.drm.DrmLike">DrmLike</a>[<span class="extype" name="scala.Int">Int</span>]</span>, <span name="randomSeed">randomSeed: <span class="extype" name="scala.Int">Int</span> = <span class="symbol">0xdeadbeef</span></span>, <span name="maxInterestingSimilaritiesPerRow">maxInterestingSimilaritiesPerRow: <span class="extype" name="scala.Int">Int</span> = <span class="symbol">50</span></span>, <span name="maxNumInteractions">maxNumInteractions: <span class="extype" name="scala.Int">Int</span> = <span class="symbol">500</span></span>)</span><span class="result">: <a href="../drm/DrmLike.html" class="extype" name="org.apache.mahout.math.drm.DrmLike">DrmLike</a>[<span class="extype" name="scala.Int">Int</span>]</span>
+      </span>
+      </h4>
+      <p class="shortcomment cmt">Calculates row-wise similarity using the log-likelihood ratio on AA' and returns a DRM of rows and similar rows</p><div class="fullcomment"><div class="comment cmt"><p>Calculates row-wise similarity using the log-likelihood ratio on AA' and returns a DRM of rows and similar rows</p></div><dl class="paramcmts block"><dt class="param">drmARaw</dt><dd class="cmt"><p>Primary interaction matrix</p></dd><dt class="param">randomSeed</dt><dd class="cmt"><p>when kept to a constant will make repeatable downsampling</p></dd><dt class="param">maxInterestingSimilaritiesPerRow</dt><dd class="cmt"><p>number of similar items to return per item, default: 50</p></dd><dt class="param">maxNumInteractions</dt><dd class="cmt"><p>max number of interactions after downsampling, default: 500
+</p></dd></dl></div>
+    </li><li name="org.apache.mahout.math.cf.SimilarityAnalysis#rowSimilarityIDS" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
+      <a id="rowSimilarityIDS(indexedDataset:org.apache.mahout.math.indexeddataset.IndexedDataset,randomSeed:Int,maxInterestingSimilaritiesPerRow:Int,maxObservationsPerRow:Int):org.apache.mahout.math.indexeddataset.IndexedDataset"></a>
+      <a id="rowSimilarityIDS(IndexedDataset,Int,Int,Int):IndexedDataset"></a>
+      <h4 class="signature">
+      <span class="modifier_kind">
+        <span class="modifier"></span>
+        <span class="kind">def</span>
+      </span>
+      <span class="symbol">
+        <span class="name">rowSimilarityIDS</span><span class="params">(<span name="indexedDataset">indexedDataset: <a href="../indexeddataset/IndexedDataset.html" class="extype" name="org.apache.mahout.math.indexeddataset.IndexedDataset">IndexedDataset</a></span>, <span name="randomSeed">randomSeed: <span class="extype" name="scala.Int">Int</span> = <span class="symbol">0xdeadbeef</span></span>, <span name="maxInterestingSimilaritiesPerRow">maxInterestingSimilaritiesPerRow: <span class="extype" name="scala.Int">Int</span> = <span class="symbol">50</span></span>, <span name="maxObservationsPerRow">maxObservationsPerRow: <span class="extype" name="scala.Int">Int</span> = <span class="symbol">500</span></span>)</span><span class="result">: <a href="../indexeddataset/IndexedDataset.html" class="extype" name="org.apache.mahout.math.indexeddataset.IndexedDataset">IndexedDataset</a></span>
+      </span>
+      </h4>
+      <p class="shortcomment cmt">Calculates row-wise similarity using the log-likelihood ratio on AA' and returns a drm of rows and similar rows.</p><div class="fullcomment"><div class="comment cmt"><p>Calculates row-wise similarity using the log-likelihood ratio on AA' and returns a drm of rows and similar rows.
+Uses IndexedDatasets, which handle external ID dictionaries properly</p></div><dl class="paramcmts block"><dt class="param">indexedDataset</dt><dd class="cmt"><p>compare each row to every other</p></dd><dt class="param">randomSeed</dt><dd class="cmt"><p>use default to make repeatable, otherwise pass in system time or some randomizing seed</p></dd><dt class="param">maxInterestingSimilaritiesPerRow</dt><dd class="cmt"><p>max elements returned in each row</p></dd><dt class="param">maxObservationsPerRow</dt><dd class="cmt"><p>max number of input elements to use
+</p></dd></dl></div>
+    </li><li name="org.apache.mahout.math.cf.SimilarityAnalysis#sampleDownAndBinarize" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
+      <a id="sampleDownAndBinarize(drmM:org.apache.mahout.math.drm.DrmLike[Int],seed:Int,maxNumInteractions:Int):org.apache.mahout.math.drm.DrmLike[Int]"></a>
+      <a id="sampleDownAndBinarize(DrmLike[Int],Int,Int):DrmLike[Int]"></a>
+      <h4 class="signature">
+      <span class="modifier_kind">
+        <span class="modifier"></span>
+        <span class="kind">def</span>
+      </span>
+      <span class="symbol">
+        <span class="name">sampleDownAndBinarize</span><span class="params">(<span name="drmM">drmM: <a href="../drm/DrmLike.html" class="extype" name="org.apache.mahout.math.drm.DrmLike">DrmLike</a>[<span class="extype" name="scala.Int">Int</span>]</span>, <span name="seed">seed: <span class="extype" name="scala.Int">Int</span></span>, <span name="maxNumInteractions">maxNumInteractions: <span class="extype" name="scala.Int">Int</span></span>)</span><span class="result">: <a href="../drm/DrmLike.html" class="extype" name="org.apache.mahout.math.drm.DrmLike">DrmLike</a>[<span class="extype" name="scala.Int">Int</span>]</span>
+      </span>
+      </h4>
+      <p class="shortcomment cmt">Selectively downsample rows and items with an anomalous amount of interactions, inspired by
+https://github.</p><div class="fullcomment"><div class="comment cmt"><p>Selectively downsample rows and items with an anomalous amount of interactions, inspired by
+https://github.com/tdunning/in-memory-cooccurrence/blob/master/src/main/java/com/tdunning/cooc/Analyze.java</p><p>additionally binarizes input matrix, as we're only interesting in knowing whether interactions happened or not</p></div><dl class="paramcmts block"><dt class="param">drmM</dt><dd class="cmt"><p>matrix to downsample</p></dd><dt class="param">seed</dt><dd class="cmt"><p>random number generator seed, keep to a constant if repeatability is neccessary</p></dd><dt class="param">maxNumInteractions</dt><dd class="cmt"><p>number of elements in a row of the returned matrix</p></dd><dt>returns</dt><dd class="cmt"><p>the downsampled DRM
+</p></dd></dl></div>
+    </li><li name="scala.AnyRef#synchronized" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
+      <a id="synchronized[T0](x$1:=&gt;T0):T0"></a>
+      <a id="synchronized[T0](⇒T0):T0"></a>
+      <h4 class="signature">
+      <span class="modifier_kind">
+        <span class="modifier">final </span>
+        <span class="kind">def</span>
+      </span>
+      <span class="symbol">
+        <span class="name">synchronized</span><span class="tparams">[<span name="T0">T0</span>]</span><span class="params">(<span name="arg0">arg0: ⇒ <span class="extype" name="java.lang.AnyRef.synchronized.T0">T0</span></span>)</span><span class="result">: <span class="extype" name="java.lang.AnyRef.synchronized.T0">T0</span></span>
+      </span>
+      </h4>
+      <div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>AnyRef</dd></dl></div>
+    </li><li name="scala.AnyRef#toString" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
+      <a id="toString():String"></a>
+      <a id="toString():String"></a>
+      <h4 class="signature">
+      <span class="modifier_kind">
+        <span class="modifier"></span>
+        <span class="kind">def</span>
+      </span>
+      <span class="symbol">
+        <span class="name">toString</span><span class="params">()</span><span class="result">: <span class="extype" name="java.lang.String">String</span></span>
+      </span>
+      </h4>
+      <div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>AnyRef → Any</dd></dl></div>
+    </li><li name="scala.AnyRef#wait" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
+      <a id="wait():Unit"></a>
+      <a id="wait():Unit"></a>
+      <h4 class="signature">
+      <span class="modifier_kind">
+        <span class="modifier">final </span>
+        <span class="kind">def</span>
+      </span>
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+        <span class="name">wait</span><span class="params">()</span><span class="result">: <span class="extype" name="scala.Unit">Unit</span></span>
+      </span>
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+      <div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>AnyRef</dd><dt>Annotations</dt><dd>
+                <span class="name">@throws</span><span class="args">(<span>
+      
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+    </span>)</span>
+              
+        </dd></dl></div>
+    </li><li name="scala.AnyRef#wait" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
+      <a id="wait(x$1:Long,x$2:Int):Unit"></a>
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+      <h4 class="signature">
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+        <span class="kind">def</span>
+      </span>
+      <span class="symbol">
+        <span class="name">wait</span><span class="params">(<span name="arg0">arg0: <span class="extype" name="scala.Long">Long</span></span>, <span name="arg1">arg1: <span class="extype" name="scala.Int">Int</span></span>)</span><span class="result">: <span class="extype" name="scala.Unit">Unit</span></span>
+      </span>
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+                <span class="name">@throws</span><span class="args">(<span>
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+      <span class="defval" name="classOf[java.lang.InterruptedException]">...</span>
+    </span>)</span>
+              
+        </dd></dl></div>
+    </li><li name="scala.AnyRef#wait" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
+      <a id="wait(x$1:Long):Unit"></a>
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+      <h4 class="signature">
+      <span class="modifier_kind">
+        <span class="modifier">final </span>
+        <span class="kind">def</span>
+      </span>
+      <span class="symbol">
+        <span class="name">wait</span><span class="params">(<span name="arg0">arg0: <span class="extype" name="scala.Long">Long</span></span>)</span><span class="result">: <span class="extype" name="scala.Unit">Unit</span></span>
+      </span>
+      </h4>
+      <div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>AnyRef</dd><dt>Annotations</dt><dd>
+                <span class="name">@throws</span><span class="args">(<span>
+      
+      <span class="defval" name="classOf[java.lang.InterruptedException]">...</span>
+    </span>)</span>
+              
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+    </li></ol>
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+
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http://git-wip-us.apache.org/repos/asf/mahout/blob/908aa498/docs/math-scala/org/apache/mahout/math/cf/package.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN" "http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd">
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+          <meta name="description" content="cf - Mahout Math Scala bindings 0.10.0 API - org.apache.mahout.math.cf" />
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+          <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
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+      <link href="../../../../../lib/template.css" media="screen" type="text/css" rel="stylesheet" />
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+        <h1>cf</h1>
+      </div>
+
+      <h4 id="signature" class="signature">
+      <span class="modifier_kind">
+        <span class="modifier"></span>
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+        <span class="name">cf</span>
+      </span>
+      </h4>
+      
+          <div id="comment" class="fullcommenttop"></div>
+        
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+        <div id="textfilter"><span class="pre"></span><span class="input"><input id="mbrsel-input" type="text" accesskey="/" /></span><span class="post"></span></div>
+        
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+            <ol><li class="public in"><span>Public</span></li><li class="all out"><span>All</span></li></ol>
+          </div>
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+        <div id="allMembers">
+        
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+              <h3>Value Members</h3>
+              <ol><li name="org.apache.mahout.math.cf.SimilarityAnalysis" visbl="pub" data-isabs="false" fullComment="no" group="Ungrouped">
+      <a id="SimilarityAnalysis"></a>
+      <a id="SimilarityAnalysis:SimilarityAnalysis"></a>
+      <h4 class="signature">
+      <span class="modifier_kind">
+        <span class="modifier"></span>
+        <span class="kind">object</span>
+      </span>
+      <span class="symbol">
+        <a href="SimilarityAnalysis$.html"><span class="name">SimilarityAnalysis</span></a><span class="result"> extends <span class="extype" name="scala.Serializable">Serializable</span></span>
+      </span>
+      </h4>
+      <p class="comment cmt">Based on &quot;Ted Dunnning &amp; Ellen Friedman: Practical Machine Learning, Innovations in Recommendation&quot;,
+available at http://www.</p>
+    </li></ol>
+            </div>
+
+        
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http://git-wip-us.apache.org/repos/asf/mahout/blob/908aa498/docs/math-scala/org/apache/mahout/math/decompositions/DQR$.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN" "http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd">
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+        <h1>DQR</h1>
+      </div>
+
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+      <span class="modifier_kind">
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+      <span class="symbol">
+        <span class="name">asInstanceOf</span><span class="tparams">[<span name="T0">T0</span>]</span><span class="result">: <span class="extype" name="scala.Any.asInstanceOf.T0">T0</span></span>
+      </span>
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+      
+      <span class="defval" name="classOf[java.lang.CloneNotSupportedException]">...</span>
+    </span>)</span>
+              
+        </dd></dl></div>
+    </li><li name="org.apache.mahout.math.decompositions.DQR#dqrThin" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
+      <a id="dqrThin[K](drmA:org.apache.mahout.math.drm.DrmLike[K],checkRankDeficiency:Boolean)(implicitevidence$1:scala.reflect.ClassTag[K]):(org.apache.mahout.math.drm.DrmLike[K],org.apache.mahout.math.Matrix)"></a>
+      <a id="dqrThin[K](DrmLike[K],Boolean)(ClassTag[K]):(DrmLike[K],Matrix)"></a>
+      <h4 class="signature">
+      <span class="modifier_kind">
+        <span class="modifier"></span>
+        <span class="kind">def</span>
+      </span>
+      <span class="symbol">
+        <span class="name">dqrThin</span><span class="tparams">[<span name="K">K</span>]</span><span class="params">(<span name="drmA">drmA: <a href="../drm/DrmLike.html" class="extype" name="org.apache.mahout.math.drm.DrmLike">DrmLike</a>[<span class="extype" name="org.apache.mahout.math.decompositions.DQR.dqrThin.K">K</span>]</span>, <span name="checkRankDeficiency">checkRankDeficiency: <span class="extype" name="scala.Boolean">Boolean</span> = <span class="symbol">true</span></span>)</span><span class="params">(<span class="implicit">implicit </span><span name="arg0">arg0: <span class="extype" name="scala.reflect.ClassTag">ClassTag</span>[<span class="extype" name="org.apache.mahout.math.decompositions.DQR.dqrThin.K">K</span>]</span>)</span><span class="result">: (<a href="../drm/DrmLike.html" class="extype" name="org.apache.mahout.math.drm.DrmLike">DrmLike</a>[<span class="extype" name="org.apache.mahout.math.decompositions.DQR.dqrThin.K">K</span>], <span class="extype" name="or
 g.apache.mahout.math.Matrix">Matrix</span>)</span>
+      </span>
+      </h4>
+      <p class="shortcomment cmt">Distributed _thin_ QR.</p><div class="fullcomment"><div class="comment cmt"><p>Distributed _thin_ QR. A'A must fit in a memory, i.e. if A is m x n, then n should be pretty
+controlled (&lt;5000 or so). &lt;P&gt;</p><p>It is recommended to checkpoint A since it does two passes over it. &lt;P&gt;</p><p>It also guarantees that Q is partitioned exactly the same way (and in same key-order) as A, so
+their RDD should be able to zip successfully.
+</p></div></div>
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+        <span class="name">eq</span><span class="params">(<span name="arg0">arg0: <span class="extype" name="scala.AnyRef">AnyRef</span></span>)</span><span class="result">: <span class="extype" name="scala.Boolean">Boolean</span></span>
+      </span>
+      </h4>
+      <div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>AnyRef</dd></dl></div>
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+              
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+        <span class="modifier">final </span>
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+      </span>
+      <span class="symbol">
+        <span class="name">wait</span><span class="params">(<span name="arg0">arg0: <span class="extype" name="scala.Long">Long</span></span>, <span name="arg1">arg1: <span class="extype" name="scala.Int">Int</span></span>)</span><span class="result">: <span class="extype" name="scala.Unit">Unit</span></span>
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+              
+        </dd></dl></div>
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+        <span class="modifier">final </span>
+        <span class="kind">def</span>
+      </span>
+      <span class="symbol">
+        <span class="name">wait</span><span class="params">(<span name="arg0">arg0: <span class="extype" name="scala.Long">Long</span></span>)</span><span class="result">: <span class="extype" name="scala.Unit">Unit</span></span>
+      </span>
+      </h4>
+      <div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>AnyRef</dd><dt>Annotations</dt><dd>
+                <span class="name">@throws</span><span class="args">(<span>
+      
+      <span class="defval" name="classOf[java.lang.InterruptedException]">...</span>
+    </span>)</span>
+              
+        </dd></dl></div>
+    </li></ol>
+            </div>
+
+        
+
+        
+        </div>
+
+        <div id="inheritedMembers">
+        <div class="parent" name="scala.AnyRef">
+              <h3>Inherited from <span class="extype" name="scala.AnyRef">AnyRef</span></h3>
+            </div><div class="parent" name="scala.Any">
+              <h3>Inherited from <span class="extype" name="scala.Any">Any</span></h3>
+            </div>
+        
+        </div>
+
+        <div id="groupedMembers">
+        <div class="group" name="Ungrouped">
+              <h3>Ungrouped</h3>
+              
+            </div>
+        </div>
+
+      </div>
+
+      <div id="tooltip"></div>
+
+      <div id="footer">  </div>
+      <script defer="defer" type="text/javascript" id="jquery-js" src="../../../../../lib/jquery.js"></script><script defer="defer" type="text/javascript" id="jquery-ui-js" src="../../../../../lib/jquery-ui.js"></script><script defer="defer" type="text/javascript" id="tools-tooltip-js" src="../../../../../lib/tools.tooltip.js"></script><script defer="defer" type="text/javascript" id="template-js" src="../../../../../lib/template.js"></script>
+    </body>
+      </html>
\ No newline at end of file


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