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| <h1>SparkNaiveBayes</h1> |
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| <div id="comment" class="fullcommenttop"><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 |
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| <a id="extractLabelsAndAggregateObservations[K](stringKeyedObservations:org.apache.mahout.math.drm.DrmLike[K],cParser:String=>String)(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)⇒String)(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: <span class="extype" name="org.apache.mahout.math.drm.DrmLike">DrmLike</span>[<span class="extype" name="org.apache.mahout.classifier.naivebayes.SparkNaiveBayes.extractLabelsAndAggregateObservations.K">K</span>]</span>, <span name="cParser">cParser: (<span class="extype" name="scala.Predef.String">String</span>) ⇒ <span class="extype" name="scala.Predef.String">String</span> = <span class="symbol">seq2SparseCategoryParser</span></span>)</span><span class="params">(<span class="implicit">implicit </span><span name="ctx">ctx: <span class="extype" name="org.apache.mahout.math.drm.DistributedContext">DistributedContext</span></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>], <span class="extype" name="org.apache.mahout.math.drm.DrmLike">DrmLike</span>[<span class="extype" name="scala.Int">Int</span>])</span> |
| </span> |
| </h4> |
| <p class="shortcomment cmt">Math-Scala Naive Bayes optimized for Spark.</p><div class="fullcomment"><div class="comment cmt"><p>Math-Scala Naive Bayes optimized for Spark.</p><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 |
| </p></div><dl class="paramcmts block"><dt class="param">stringKeyedObservations</dt><dd class="cmt"><p>DrmLike matrix; Output from seq2sparse |
| in form K = e.g./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 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="" class="extype" name="org.apache.mahout.classifier.naivebayes.SparkNaiveBayes">SparkNaiveBayes</a> → NaiveBayes</dd></dl></div> |
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| <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)⇒String"></a> |
| <h4 class="signature"> |
| <span class="modifier_kind"> |
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| <span class="symbol"> |
| <span class="name">seq2SparseCategoryParser</span><span class="result">: (<span class="extype" name="scala.Predef.String">String</span>) ⇒ <span class="extype" name="scala.Predef.String">String</span></span> |
| </span> |
| </h4> |
| <div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>NaiveBayes</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> |
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| </span> |
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| <div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>AnyRef</dd></dl></div> |
| </li><li name="org.apache.mahout.classifier.naivebayes.SparkNaiveBayes#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$1: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)⇒String)(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: <span class="extype" name="org.apache.mahout.classifier.naivebayes.NBModel">NBModel</span></span>, <span name="testSet">testSet: <span class="extype" name="org.apache.mahout.math.drm.DrmLike">DrmLike</span>[<span class="extype" name="org.apache.mahout.classifier.naivebayes.SparkNaiveBayes.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>) ⇒ <span class="extype" name="scala.Predef.String">String</span> = <span class="symbol">seq2SparseCategoryParser</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.SparkNaiveBayes.test.K">K</span>]</span>, <span name="ctx">ctx: <span class="extype" name="org.apache.mahout.math.drm.DistributedContext">DistributedContext</span></span>)</span><span class="result">: <span class="extype" name="org.apache.mahout.classifier.stats.ResultAnalyzer">ResultAnalyzer</span></span> |
| </span> |
| </h4> |
| <p class="shortcomment cmt">Test a trained model with a labeled dataset</p><div class="fullcomment"><div class="comment cmt"><p>Test a trained model with a labeled dataset</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></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="" class="extype" name="org.apache.mahout.classifier.naivebayes.SparkNaiveBayes">SparkNaiveBayes</a> → NaiveBayes</dd></dl></div> |
| </li><li name="scala.AnyRef#toString" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped"> |
| <a id="toString():String"></a> |
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| <div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>AnyRef → 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> |
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| <span class="modifier_kind"> |
| <span class="modifier"></span> |
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| <span class="symbol"> |
| <span class="name">train</span><span class="params">(<span name="observationsPerLabel">observationsPerLabel: <span class="extype" name="org.apache.mahout.math.drm.DrmLike">DrmLike</span>[<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>, <span name="alphaI">alphaI: <span class="extype" name="scala.Float">Float</span></span>)</span><span class="result">: <span class="extype" name="org.apache.mahout.classifier.naivebayes.NBModel">NBModel</span></span> |
| </span> |
| </h4> |
| <div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>NaiveBayes</dd></dl></div> |
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| <span class="modifier">final </span> |
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| <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> |
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