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</span> + <span class="symbol"> + <span title="gt4s: $eq$eq" class="name">==</span><span class="params">(<span name="arg0">arg0: <span class="extype" name="scala.Any">Any</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>Any</dd></dl></div> + </li><li name="org.apache.mahout.classifier.naivebayes.NaiveBayes#argmax" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped"> + <a id="argmax(v:org.apache.mahout.math.Vector):(Int,Double)"></a> + <a id="argmax(Vector):(Int,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">argmax</span><span class="params">(<span name="v">v: <span class="extype" name="org.apache.mahout.math.Vector">Vector</span></span>)</span><span class="result">: (<span class="extype" name="scala.Int">Int</span>, <span class="extype" name="scala.Double">Double</span>)</span> + </span> + </h4> + <p class="shortcomment cmt">argmax with values as well +returns a tuple of index of the max score and the score itself.</p><div class="fullcomment"><div class="comment cmt"><p>argmax with values as well +returns a tuple of index of the max score and the score itself.</p></div><dl class="paramcmts block"><dt class="param">v</dt><dd class="cmt"><p>Vector of of scores</p></dd><dt>returns</dt><dd class="cmt"><p>(bestIndex, bestScore) +</p></dd></dl><dl class="attributes block"> <dt>Definition Classes</dt><dd><a href="NaiveBayes.html" class="extype" name="org.apache.mahout.classifier.naivebayes.NaiveBayes">NaiveBayes</a></dd></dl></div> + </li><li name="scala.Any#asInstanceOf" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped"> + <a id="asInstanceOf[T0]:T0"></a> + <a id="asInstanceOf[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">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> + </h4> + <div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>Any</dd></dl></div> + </li><li name="scala.AnyRef#clone" visbl="prt" data-isabs="false" fullComment="yes" group="Ungrouped"> + <a id="clone():Object"></a> + <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> + </span> + </h4> + <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.classifier.naivebayes.NaiveBayes#defaultAlphaI" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped"> + <a id="defaultAlphaI:Float"></a> + <a id="defaultAlphaI:Float"></a> + <h4 class="signature"> + <span class="modifier_kind"> + <span class="modifier"></span> + <span class="kind">def</span> + </span> + <span class="symbol"> + <span class="name">defaultAlphaI</span><span class="result">: <span class="extype" name="scala.Float">Float</span></span> + </span> + </h4> + <p class="shortcomment cmt">default value for the Laplacian smoothing parameter</p><div class="fullcomment"><div class="comment cmt"><p>default value for the Laplacian smoothing parameter</p></div><dl class="attributes block"> <dt>Definition Classes</dt><dd><a href="NaiveBayes.html" class="extype" name="org.apache.mahout.classifier.naivebayes.NaiveBayes">NaiveBayes</a></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> + <a id="eq(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">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"> + <a id="equals(x$1:Any):Boolean"></a> + <a id="equals(Any):Boolean"></a> + <h4 class="signature"> + <span class="modifier_kind"> + <span class="modifier"></span> + <span class="kind">def</span> + </span> + <span class="symbol"> + <span class="name">equals</span><span class="params">(<span name="arg0">arg0: <span class="extype" name="scala.Any">Any</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 â Any</dd></dl></div> + </li><li name="org.apache.mahout.classifier.naivebayes.NaiveBayes#extractLabelsAndAggregateObservations" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped"> + <a id="extractLabelsAndAggregateObservations[K](stringKeyedObservations:org.apache.mahout.math.drm.DrmLike[K],cParser:String=>String)(implicitevidence$1:scala.reflect.ClassTag[K],implicitctx:org.apache.mahout.math.drm.DistributedContext):(scala.collection.mutable.HashMap[String,Integer],org.apache.mahout.math.drm.DrmLike[Int])"></a> + <a id="extractLabelsAndAggregateObservations[K](DrmLike[K],(String)âString)(ClassTag[K],DistributedContext):(HashMap[String,Integer],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">extractLabelsAndAggregateObservations</span><span class="tparams">[<span name="K">K</span>]</span><span class="params">(<span name="stringKeyedObservations">stringKeyedObservations: <a href="../../math/drm/DrmLike.html" class="extype" name="org.apache.mahout.math.drm.DrmLike">DrmLike</a>[<span class="extype" name="org.apache.mahout.classifier.naivebayes.NaiveBayes.extractLabelsAndAggregateObservations.K">K</span>]</span>, <span name="cParser">cParser: (<span class="extype" name="scala.Predef.String">String</span>) â <span class="extype" name="scala.Predef.String">String</span> = <span class="symbol"><span class="name"><a href="NaiveBayes.html#seq2SparseCategoryParser:String=>String">seq2SparseCategoryParser</a></span></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.classifier.naivebay es.NaiveBayes.extractLabelsAndAggregateObservations.K">K</span>]</span>, <span name="ctx">ctx: <a href="../../math/drm/DistributedContext.html" class="extype" name="org.apache.mahout.math.drm.DistributedContext">DistributedContext</a></span>)</span><span class="result">: (<span class="extype" name="scala.collection.mutable.HashMap">HashMap</span>[<span class="extype" name="scala.Predef.String">String</span>, <span class="extype" name="java.lang.Integer">Integer</span>], <a href="../../math/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">Extract label Keys from raw TF or TF-IDF Matrix generated by seqdirectory/seq2sparse +and aggregate TF or TF-IDF values by their label +Override this method in engine specific modules to optimize +</p><div class="fullcomment"><div class="comment cmt"><p>Extract label Keys from raw TF or TF-IDF Matrix generated by seqdirectory/seq2sparse +and aggregate TF or TF-IDF values by their label +Override this method in engine specific modules to optimize +</p></div><dl class="paramcmts block"><dt class="param">stringKeyedObservations</dt><dd class="cmt"><p>DrmLike matrix; Output from seq2sparse + in form K = eg./Category/document_title + V = TF or TF-IDF values per term</p></dd><dt class="param">cParser</dt><dd class="cmt"><p>a String => String function used to extract categories from + Keys of the stringKeyedObservations DRM. The default + CategoryParser will extract "Category" from: '/Category/document_id'</p></dd><dt>returns</dt><dd class="cmt"><p>(labelIndexMap,aggregatedByLabelObservationDrm) + labelIndexMap is a HashMap [String, Integer] K = label row index + V = label + aggregatedByLabelObservationDrm is a DrmLike[Int] of aggregated + TF or TF-IDF counts per label +</p></dd></dl><dl class="attributes block"> <dt>Definition Classes</dt><dd><a href="NaiveBayes.html" class="extype" name="org.apache.mahout.classifier.naivebayes.NaiveBayes">NaiveBayes</a></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"> + <span class="name">finalize</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>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="symbol">classOf[java.lang.Throwable]</span> + </span>)</span> + + </dd></dl></div> + </li><li name="scala.AnyRef#getClass" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped"> + <a id="getClass():Class[_]"></a> + <a id="getClass():Class[_]"></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">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 â Any</dd></dl></div> + </li><li name="scala.AnyRef#hashCode" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped"> + <a id="hashCode():Int"></a> + <a id="hashCode():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">hashCode</span><span class="params">()</span><span class="result">: <span class="extype" name="scala.Int">Int</span></span> + </span> + </h4> + <div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>AnyRef â 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="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 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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.classifier.naivebayes.NaiveBayes#seq2SparseCategoryParser" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped"> + <a id="seq2SparseCategoryParser:String=>String"></a> + <a id="seq2SparseCategoryParser:(String)âString"></a> + <h4 class="signature"> + <span class="modifier_kind"> + <span class="modifier"></span> + <span class="kind">def</span> + </span> + <span class="symbol"> + <span class="name">seq2SparseCategoryParser</span><span class="result">: (<span class="extype" name="scala.Predef.String">String</span>) â <span class="extype" name="scala.Predef.String">String</span></span> + </span> + </h4> + <p class="shortcomment cmt">Default: seqdirectory/seq2Sparse Categories are Stored in Drm Keys as: /Category/document_id</p><div class="fullcomment"><div class="comment cmt"><p>Default: seqdirectory/seq2Sparse Categories are Stored in Drm Keys as: /Category/document_id</p></div><dl class="attributes block"> <dt>Definition Classes</dt><dd><a href="NaiveBayes.html" class="extype" name="org.apache.mahout.classifier.naivebayes.NaiveBayes">NaiveBayes</a></dd></dl></div> + </li><li name="scala.AnyRef#synchronized" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped"> + <a id="synchronized[T0](x$1:=>T0):T0"></a> + <a id="synchronized[T0](âT0):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: â <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="org.apache.mahout.classifier.naivebayes.NaiveBayes#test" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped"> + <a id="test[K](model:org.apache.mahout.classifier.naivebayes.NBModel,testSet:org.apache.mahout.math.drm.DrmLike[K],testComplementary:Boolean,cParser:String=>String)(implicitevidence$2:scala.reflect.ClassTag[K],implicitctx:org.apache.mahout.math.drm.DistributedContext):org.apache.mahout.classifier.stats.ResultAnalyzer"></a> + <a id="test[K](NBModel,DrmLike[K],Boolean,(String)âString)(ClassTag[K],DistributedContext):ResultAnalyzer"></a> + <h4 class="signature"> + <span class="modifier_kind"> + <span class="modifier"></span> + <span class="kind">def</span> + </span> + <span class="symbol"> + <span class="name">test</span><span class="tparams">[<span name="K">K</span>]</span><span class="params">(<span name="model">model: <a href="NBModel.html" class="extype" name="org.apache.mahout.classifier.naivebayes.NBModel">NBModel</a></span>, <span name="testSet">testSet: <a href="../../math/drm/DrmLike.html" class="extype" name="org.apache.mahout.math.drm.DrmLike">DrmLike</a>[<span class="extype" name="org.apache.mahout.classifier.naivebayes.NaiveBayes.test.K">K</span>]</span>, <span name="testComplementary">testComplementary: <span class="extype" name="scala.Boolean">Boolean</span> = <span class="symbol">false</span></span>, <span name="cParser">cParser: (<span class="extype" name="scala.Predef.String">String</span>) â <span class="extype" name="scala.Predef.String">String</span> = <span class="symbol"><span class="name"><a href="NaiveBayes.html#seq2SparseCategoryParser:String=>String">seq2SparseCategoryParser</a></span></span></span>)</span><span class="params">(<s pan class="implicit">implicit </span><span name="arg0">arg0: <span class="extype" name="scala.reflect.ClassTag">ClassTag</span>[<span class="extype" name="org.apache.mahout.classifier.naivebayes.NaiveBayes.test.K">K</span>]</span>, <span name="ctx">ctx: <a href="../../math/drm/DistributedContext.html" class="extype" name="org.apache.mahout.math.drm.DistributedContext">DistributedContext</a></span>)</span><span class="result">: <a href="../stats/ResultAnalyzer.html" class="extype" name="org.apache.mahout.classifier.stats.ResultAnalyzer">ResultAnalyzer</a></span> + </span> + </h4> + <p class="shortcomment cmt">Test a trained model with a labeled dataset sequentially</p><div class="fullcomment"><div class="comment cmt"><p>Test a trained model with a labeled dataset sequentially</p></div><dl class="paramcmts block"><dt class="tparam">K</dt><dd class="cmt"><p>implicitly determined Key type of test set DRM: String</p></dd><dt class="param">model</dt><dd class="cmt"><p>a trained NBModel</p></dd><dt class="param">testSet</dt><dd class="cmt"><p>a labeled testing set</p></dd><dt class="param">testComplementary</dt><dd class="cmt"><p>test using a complementary or a standard NB classifier</p></dd><dt class="param">cParser</dt><dd class="cmt"><p>a String => String function used to extract categories from + Keys of the testing set DRM. The default + CategoryParser will extract "Category" from: '/Category/document_id'</p><p> *Note*: this method brings the entire test set into upfront memory, + This method is optimized and parallelized in SparkNaiveBayes +</p></dd><dt>returns</dt><dd class="cmt"><p>a result analyzer with confusion matrix and accuracy statistics +</p></dd></dl><dl class="attributes block"> <dt>Definition Classes</dt><dd><a href="NaiveBayes.html" class="extype" name="org.apache.mahout.classifier.naivebayes.NaiveBayes">NaiveBayes</a></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 â Any</dd></dl></div> + </li><li name="org.apache.mahout.classifier.naivebayes.NaiveBayes#train" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped"> + <a id="train(observationsPerLabel:org.apache.mahout.math.drm.DrmLike[Int],labelIndex:scala.collection.Map[String,Integer],trainComplementary:Boolean,alphaI:Float):org.apache.mahout.classifier.naivebayes.NBModel"></a> + <a id="train(DrmLike[Int],Map[String,Integer],Boolean,Float):NBModel"></a> + <h4 class="signature"> + <span class="modifier_kind"> + <span class="modifier"></span> + <span class="kind">def</span> + </span> + <span class="symbol"> + <span class="name">train</span><span class="params">(<span name="observationsPerLabel">observationsPerLabel: <a href="../../math/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="labelIndex">labelIndex: <span class="extype" name="scala.collection.Map">Map</span>[<span class="extype" name="scala.Predef.String">String</span>, <span class="extype" name="java.lang.Integer">Integer</span>]</span>, <span name="trainComplementary">trainComplementary: <span class="extype" name="scala.Boolean">Boolean</span> = <span class="symbol">true</span></span>, <span name="alphaI">alphaI: <span class="extype" name="scala.Float">Float</span> = <span class="symbol"><span class="name"><a href="NaiveBayes.html#defaultAlphaI:Float">defaultAlphaI</a></span></span></span>)</span><span class="result">: <a href="NBModel.html" class="extype" name="org.apache.mahout.classifier.naivebayes.NBModel">NBM odel</a></span> + </span> + </h4> + <p class="shortcomment cmt">Distributed training of a Naive Bayes model.</p><div class="fullcomment"><div class="comment cmt"><p>Distributed training of a Naive Bayes model. Follows the approach presented in Rennie et.al.: Tackling the poor +assumptions of Naive Bayes Text classifiers, ICML 2003, http://people.csail.mit.edu/jrennie/papers/icml03-nb.pdf +</p></div><dl class="paramcmts block"><dt class="param">observationsPerLabel</dt><dd class="cmt"><p>a DrmLike[Int] matrix containing term frequency counts for each label.</p></dd><dt class="param">trainComplementary</dt><dd class="cmt"><p>whether or not to train a complementary Naive Bayes model</p></dd><dt class="param">alphaI</dt><dd class="cmt"><p>Laplace smoothing parameter</p></dd><dt>returns</dt><dd class="cmt"><p>trained naive bayes model +</p></dd></dl><dl class="attributes block"> <dt>Definition Classes</dt><dd><a href="NaiveBayes.html" class="extype" name="org.apache.mahout.classifier.naivebayes.NaiveBayes">NaiveBayes</a></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> + <span class="symbol"> + <span class="name">wait</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><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><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> + <a id="wait(Long,Int):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">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> + </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><li name="scala.AnyRef#wait" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped"> + <a id="wait(x$1:Long):Unit"></a> + <a id="wait(Long):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">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="org.apache.mahout.classifier.naivebayes.NaiveBayes"> + <h3>Inherited from <a href="NaiveBayes.html" class="extype" name="org.apache.mahout.classifier.naivebayes.NaiveBayes">NaiveBayes</a></h3> + </div><div class="parent" name="java.io.Serializable"> + <h3>Inherited from <span class="extype" name="java.io.Serializable">Serializable</span></h3> + </div><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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class="symbol"> + <span title="gt4s: $eq$eq" class="name">==</span><span class="params">(<span name="arg0">arg0: <span class="extype" name="scala.Any">Any</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>Any</dd></dl></div> + </li><li name="org.apache.mahout.classifier.naivebayes.NaiveBayes#argmax" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped"> + <a id="argmax(v:org.apache.mahout.math.Vector):(Int,Double)"></a> + <a id="argmax(Vector):(Int,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">argmax</span><span class="params">(<span name="v">v: <span class="extype" name="org.apache.mahout.math.Vector">Vector</span></span>)</span><span class="result">: (<span class="extype" name="scala.Int">Int</span>, <span class="extype" name="scala.Double">Double</span>)</span> + </span> + </h4> + <p class="shortcomment cmt">argmax with values as well +returns a tuple of index of the max score and the score itself.</p><div class="fullcomment"><div class="comment cmt"><p>argmax with values as well +returns a tuple of index of the max score and the score itself.</p></div><dl class="paramcmts block"><dt class="param">v</dt><dd class="cmt"><p>Vector of of scores</p></dd><dt>returns</dt><dd class="cmt"><p>(bestIndex, bestScore) +</p></dd></dl></div> + </li><li name="scala.Any#asInstanceOf" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped"> + <a id="asInstanceOf[T0]:T0"></a> + <a id="asInstanceOf[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">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> + </h4> + <div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>Any</dd></dl></div> + </li><li name="scala.AnyRef#clone" visbl="prt" data-isabs="false" fullComment="yes" group="Ungrouped"> + <a id="clone():Object"></a> + <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> + </span> + </h4> + <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.classifier.naivebayes.NaiveBayes#defaultAlphaI" visbl="pub" data-isabs="false" fullComment="no" group="Ungrouped"> + <a id="defaultAlphaI:Float"></a> + <a id="defaultAlphaI:Float"></a> + <h4 class="signature"> + <span class="modifier_kind"> + <span class="modifier"></span> + <span class="kind">def</span> + </span> + <span class="symbol"> + <span class="name">defaultAlphaI</span><span class="result">: <span class="extype" name="scala.Float">Float</span></span> + </span> + </h4> + <p class="shortcomment cmt">default value for the Laplacian smoothing parameter</p> + </li><li name="scala.AnyRef#eq" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped"> + <a id="eq(x$1:AnyRef):Boolean"></a> + <a id="eq(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">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"> + <a id="equals(x$1:Any):Boolean"></a> + <a id="equals(Any):Boolean"></a> + <h4 class="signature"> + <span class="modifier_kind"> + <span class="modifier"></span> + <span class="kind">def</span> + </span> + <span class="symbol"> + <span class="name">equals</span><span class="params">(<span name="arg0">arg0: <span class="extype" name="scala.Any">Any</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 â Any</dd></dl></div> + </li><li name="org.apache.mahout.classifier.naivebayes.NaiveBayes#extractLabelsAndAggregateObservations" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped"> + <a id="extractLabelsAndAggregateObservations[K](stringKeyedObservations:org.apache.mahout.math.drm.DrmLike[K],cParser:String=>String)(implicitevidence$1:scala.reflect.ClassTag[K],implicitctx:org.apache.mahout.math.drm.DistributedContext):(scala.collection.mutable.HashMap[String,Integer],org.apache.mahout.math.drm.DrmLike[Int])"></a> + <a id="extractLabelsAndAggregateObservations[K](DrmLike[K],(String)âString)(ClassTag[K],DistributedContext):(HashMap[String,Integer],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">extractLabelsAndAggregateObservations</span><span class="tparams">[<span name="K">K</span>]</span><span class="params">(<span name="stringKeyedObservations">stringKeyedObservations: <a href="../../math/drm/DrmLike.html" class="extype" name="org.apache.mahout.math.drm.DrmLike">DrmLike</a>[<span class="extype" name="org.apache.mahout.classifier.naivebayes.NaiveBayes.extractLabelsAndAggregateObservations.K">K</span>]</span>, <span name="cParser">cParser: (<span class="extype" name="scala.Predef.String">String</span>) â <span class="extype" name="scala.Predef.String">String</span> = <span class="symbol"><span class="name"><a href="#seq2SparseCategoryParser:String=>String">seq2SparseCategoryParser</a></span></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.classifier.naivebayes.NaiveBayes.e xtractLabelsAndAggregateObservations.K">K</span>]</span>, <span name="ctx">ctx: <a href="../../math/drm/DistributedContext.html" class="extype" name="org.apache.mahout.math.drm.DistributedContext">DistributedContext</a></span>)</span><span class="result">: (<span class="extype" name="scala.collection.mutable.HashMap">HashMap</span>[<span class="extype" name="scala.Predef.String">String</span>, <span class="extype" name="java.lang.Integer">Integer</span>], <a href="../../math/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">Extract label Keys from raw TF or TF-IDF Matrix generated by seqdirectory/seq2sparse +and aggregate TF or TF-IDF values by their label +Override this method in engine specific modules to optimize +</p><div class="fullcomment"><div class="comment cmt"><p>Extract label Keys from raw TF or TF-IDF Matrix generated by seqdirectory/seq2sparse +and aggregate TF or TF-IDF values by their label +Override this method in engine specific modules to optimize +</p></div><dl class="paramcmts block"><dt class="param">stringKeyedObservations</dt><dd class="cmt"><p>DrmLike matrix; Output from seq2sparse + in form K = eg./Category/document_title + V = TF or TF-IDF values per term</p></dd><dt class="param">cParser</dt><dd class="cmt"><p>a String => String function used to extract categories from + Keys of the stringKeyedObservations DRM. The default + CategoryParser will extract "Category" from: '/Category/document_id'</p></dd><dt>returns</dt><dd class="cmt"><p>(labelIndexMap,aggregatedByLabelObservationDrm) + labelIndexMap is a HashMap [String, Integer] K = label row index + V = label + aggregatedByLabelObservationDrm is a DrmLike[Int] of aggregated + TF or TF-IDF counts per label +</p></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"> + <span class="name">finalize</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>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="symbol">classOf[java.lang.Throwable]</span> + </span>)</span> + + </dd></dl></div> + </li><li name="scala.AnyRef#getClass" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped"> + <a id="getClass():Class[_]"></a> + <a id="getClass():Class[_]"></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">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 â Any</dd></dl></div> + </li><li name="scala.AnyRef#hashCode" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped"> + <a id="hashCode():Int"></a> + <a id="hashCode():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">hashCode</span><span class="params">()</span><span class="result">: <span class="extype" name="scala.Int">Int</span></span> + </span> + </h4> + <div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>AnyRef â 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="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.classifier.naivebayes.NaiveBayes#seq2SparseCategoryParser" visbl="pub" data-isabs="false" fullComment="no" group="Ungrouped"> + <a id="seq2SparseCategoryParser:String=>String"></a> + <a id="seq2SparseCategoryParser:(String)âString"></a> + <h4 class="signature"> + <span class="modifier_kind"> + <span class="modifier"></span> + <span class="kind">def</span> + </span> + <span class="symbol"> + <span class="name">seq2SparseCategoryParser</span><span class="result">: (<span class="extype" name="scala.Predef.String">String</span>) â <span class="extype" name="scala.Predef.String">String</span></span> + </span> + </h4> + <p class="shortcomment cmt">Default: seqdirectory/seq2Sparse Categories are Stored in Drm Keys as: /Category/document_id</p> + </li><li name="scala.AnyRef#synchronized" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped"> + <a id="synchronized[T0](x$1:=>T0):T0"></a> + <a id="synchronized[T0](âT0):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: â <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="org.apache.mahout.classifier.naivebayes.NaiveBayes#test" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped"> + <a id="test[K](model:org.apache.mahout.classifier.naivebayes.NBModel,testSet:org.apache.mahout.math.drm.DrmLike[K],testComplementary:Boolean,cParser:String=>String)(implicitevidence$2:scala.reflect.ClassTag[K],implicitctx:org.apache.mahout.math.drm.DistributedContext):org.apache.mahout.classifier.stats.ResultAnalyzer"></a> + <a id="test[K](NBModel,DrmLike[K],Boolean,(String)âString)(ClassTag[K],DistributedContext):ResultAnalyzer"></a> + <h4 class="signature"> + <span class="modifier_kind"> + <span class="modifier"></span> + <span class="kind">def</span> + </span> + <span class="symbol"> + <span class="name">test</span><span class="tparams">[<span name="K">K</span>]</span><span class="params">(<span name="model">model: <a href="NBModel.html" class="extype" name="org.apache.mahout.classifier.naivebayes.NBModel">NBModel</a></span>, <span name="testSet">testSet: <a href="../../math/drm/DrmLike.html" class="extype" name="org.apache.mahout.math.drm.DrmLike">DrmLike</a>[<span class="extype" name="org.apache.mahout.classifier.naivebayes.NaiveBayes.test.K">K</span>]</span>, <span name="testComplementary">testComplementary: <span class="extype" name="scala.Boolean">Boolean</span> = <span class="symbol">false</span></span>, <span name="cParser">cParser: (<span class="extype" name="scala.Predef.String">String</span>) â <span class="extype" name="scala.Predef.String">String</span> = <span class="symbol"><span class="name"><a href="#seq2SparseCategoryParser:String=>String">seq2SparseCategoryParser</a></span></span></span>)</span><span class="params">(<span class="impl icit">implicit </span><span name="arg0">arg0: <span class="extype" name="scala.reflect.ClassTag">ClassTag</span>[<span class="extype" name="org.apache.mahout.classifier.naivebayes.NaiveBayes.test.K">K</span>]</span>, <span name="ctx">ctx: <a href="../../math/drm/DistributedContext.html" class="extype" name="org.apache.mahout.math.drm.DistributedContext">DistributedContext</a></span>)</span><span class="result">: <a href="../stats/ResultAnalyzer.html" class="extype" name="org.apache.mahout.classifier.stats.ResultAnalyzer">ResultAnalyzer</a></span> + </span> + </h4> + <p class="shortcomment cmt">Test a trained model with a labeled dataset sequentially</p><div class="fullcomment"><div class="comment cmt"><p>Test a trained model with a labeled dataset sequentially</p></div><dl class="paramcmts block"><dt class="tparam">K</dt><dd class="cmt"><p>implicitly determined Key type of test set DRM: String</p></dd><dt class="param">model</dt><dd class="cmt"><p>a trained NBModel</p></dd><dt class="param">testSet</dt><dd class="cmt"><p>a labeled testing set</p></dd><dt class="param">testComplementary</dt><dd class="cmt"><p>test using a complementary or a standard NB classifier</p></dd><dt class="param">cParser</dt><dd class="cmt"><p>a String => String function used to extract categories from + Keys of the testing set DRM. The default + CategoryParser will extract "Category" from: '/Category/document_id'</p><p> *Note*: this method brings the entire test set into upfront memory, + This method is optimized and parallelized in SparkNaiveBayes +</p></dd><dt>returns</dt><dd class="cmt"><p>a result analyzer with confusion matrix and accuracy statistics +</p></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 â Any</dd></dl></div> + </li><li name="org.apache.mahout.classifier.naivebayes.NaiveBayes#train" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped"> + <a id="train(observationsPerLabel:org.apache.mahout.math.drm.DrmLike[Int],labelIndex:scala.collection.Map[String,Integer],trainComplementary:Boolean,alphaI:Float):org.apache.mahout.classifier.naivebayes.NBModel"></a> + <a id="train(DrmLike[Int],Map[String,Integer],Boolean,Float):NBModel"></a> + <h4 class="signature"> + <span class="modifier_kind"> + <span class="modifier"></span> + <span class="kind">def</span> + </span> + <span class="symbol"> + <span class="name">train</span><span class="params">(<span name="observationsPerLabel">observationsPerLabel: <a href="../../math/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="labelIndex">labelIndex: <span class="extype" name="scala.collection.Map">Map</span>[<span class="extype" name="scala.Predef.String">String</span>, <span class="extype" name="java.lang.Integer">Integer</span>]</span>, <span name="trainComplementary">trainComplementary: <span class="extype" name="scala.Boolean">Boolean</span> = <span class="symbol">true</span></span>, <span name="alphaI">alphaI: <span class="extype" name="scala.Float">Float</span> = <span class="symbol"><span class="name"><a href="#defaultAlphaI:Float">defaultAlphaI</a></span></span></span>)</span><span class="result">: <a href="NBModel.html" class="extype" name="org.apache.mahout.classifier.naivebayes.NBModel">NBModel</a></span> + </span> + </h4> + <p class="shortcomment cmt">Distributed training of a Naive Bayes model.</p><div class="fullcomment"><div class="comment cmt"><p>Distributed training of a Naive Bayes model. Follows the approach presented in Rennie et.al.: Tackling the poor +assumptions of Naive Bayes Text classifiers, ICML 2003, http://people.csail.mit.edu/jrennie/papers/icml03-nb.pdf +</p></div><dl class="paramcmts block"><dt class="param">observationsPerLabel</dt><dd class="cmt"><p>a DrmLike[Int] matrix containing term frequency counts for each label.</p></dd><dt class="param">trainComplementary</dt><dd class="cmt"><p>whether or not to train a complementary Naive Bayes model</p></dd><dt class="param">alphaI</dt><dd class="cmt"><p>Laplace smoothing parameter</p></dd><dt>returns</dt><dd class="cmt"><p>trained naive bayes model +</p></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> + <span class="symbol"> + <span class="name">wait</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><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><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> + <a id="wait(Long,Int):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">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> + </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><li name="scala.AnyRef#wait" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped"> + <a id="wait(x$1:Long):Unit"></a> + <a id="wait(Long):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">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="java.io.Serializable"> + <h3>Inherited from <span class="extype" name="java.io.Serializable">Serializable</span></h3> + </div><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
