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| <ol><li name="org.apache.mahout.classifier.naivebayes.NBModel#<init>" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped"> |
| <a id="<init>(weightsPerLabelAndFeature:org.apache.mahout.math.Matrix,weightsPerFeature:org.apache.mahout.math.Vector,weightsPerLabel:org.apache.mahout.math.Vector,perlabelThetaNormalizer:org.apache.mahout.math.Vector,labelIndex:scala.collection.Map[String,Integer],alphaI:Float,isComplementary:Boolean):org.apache.mahout.classifier.naivebayes.NBModel"></a> |
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| <span class="name">NBModel</span><span class="params">(<span name="weightsPerLabelAndFeature">weightsPerLabelAndFeature: <span class="extype" name="org.apache.mahout.math.Matrix">Matrix</span> = <span class="symbol">null</span></span>, <span name="weightsPerFeature">weightsPerFeature: <span class="extype" name="org.apache.mahout.math.Vector">Vector</span> = <span class="symbol">null</span></span>, <span name="weightsPerLabel">weightsPerLabel: <span class="extype" name="org.apache.mahout.math.Vector">Vector</span> = <span class="symbol">null</span></span>, <span name="perlabelThetaNormalizer">perlabelThetaNormalizer: <span class="extype" name="org.apache.mahout.math.Vector">Vector</span> = <span class="symbol">null</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 class="symbol">null</span></span>, <span name="alphaI">alphaI: <span class="extype" name="scala.Float">Float</span> = <span class="symbol">1.0</span></span>, <span name="isComplementary">isComplementary: <span class="extype" name="scala.Boolean">Boolean</span> = <span class="symbol">false</span></span>)</span> |
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| <p class="shortcomment cmt"></p><div class="fullcomment"><div class="comment cmt"></div><dl class="paramcmts block"><dt class="param">weightsPerLabelAndFeature</dt><dd class="cmt"><p>Aggregated matrix of weights of labels x features</p></dd><dt class="param">weightsPerFeature</dt><dd class="cmt"><p>Vector of summation of all feature weights.</p></dd><dt class="param">weightsPerLabel</dt><dd class="cmt"><p>Vector of summation of all label weights.</p></dd><dt class="param">perlabelThetaNormalizer</dt><dd class="cmt"><p>Vector of weight normalizers per label (used only for complemtary models)</p></dd><dt class="param">labelIndex</dt><dd class="cmt"><p>HashMap of labels and their corresponding row in the weightMatrix</p></dd><dt class="param">alphaI</dt><dd class="cmt"><p>Laplace smoothing factor.</p></dd><dt class="param">isComplementary</dt><dd class="cmt"><p>Whether or not this is a complementary model. |
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| <p class="shortcomment cmt">Laplace smoothing factor.</p> |
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| <p class="shortcomment cmt">getter for a single empty vector of weights</p> |
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| <span class="name">dfsWrite</span><span class="params">(<span name="pathToModel">pathToModel: <span class="extype" name="scala.Predef.String">String</span></span>)</span><span class="params">(<span class="implicit">implicit </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.Unit">Unit</span></span> |
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| <p class="shortcomment cmt">Write a trained model to the filesystem as a series of DRMs</p><div class="fullcomment"><div class="comment cmt"><p>Write a trained model to the filesystem as a series of DRMs</p></div><dl class="paramcmts block"><dt class="param">pathToModel</dt><dd class="cmt"><p>Directory to which the model will be written |
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| <a id="featureWeight(feature:Int):Double"></a> |
| <a id="featureWeight(Int):Double"></a> |
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| <p class="shortcomment cmt">getter for summed feature weights.</p><div class="fullcomment"><div class="comment cmt"><p>getter for summed feature weights. Used by legacy classifier</p></div></div> |
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| <p class="shortcomment cmt">Whether or not this is a complementary model.</p> |
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| </span> |
| <span class="symbol"> |
| <span class="name">labelIndex</span><span class="result">: <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> |
| </h4> |
| <p class="shortcomment cmt">HashMap of labels and their corresponding row in the weightMatrix</p> |
| </li><li name="org.apache.mahout.classifier.naivebayes.NBModel#labelWeight" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped"> |
| <a id="labelWeight(label:Int):Double"></a> |
| <a id="labelWeight(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">labelWeight</span><span class="params">(<span name="label">label: <span class="extype" name="scala.Int">Int</span></span>)</span><span class="result">: <span class="extype" name="scala.Double">Double</span></span> |
| </span> |
| </h4> |
| <p class="shortcomment cmt">getter for summed label weights.</p><div class="fullcomment"><div class="comment cmt"><p>getter for summed label weights. Used by legacy classifier</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.classifier.naivebayes.NBModel#numFeatures" visbl="pub" data-isabs="false" fullComment="no" group="Ungrouped"> |
| <a id="numFeatures:Double"></a> |
| <a id="numFeatures:Double"></a> |
| <h4 class="signature"> |
| <span class="modifier_kind"> |
| <span class="modifier"></span> |
| <span class="kind">val</span> |
| </span> |
| <span class="symbol"> |
| <span class="name">numFeatures</span><span class="result">: <span class="extype" name="scala.Double">Double</span></span> |
| </span> |
| </h4> |
| |
| </li><li name="org.apache.mahout.classifier.naivebayes.NBModel#numLabels" visbl="pub" data-isabs="false" fullComment="no" group="Ungrouped"> |
| <a id="numLabels:Int"></a> |
| <a id="numLabels: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">numLabels</span><span class="result">: <span class="extype" name="scala.Int">Int</span></span> |
| </span> |
| </h4> |
| <p class="shortcomment cmt">getter for a the number of labels to consider</p> |
| </li><li name="org.apache.mahout.classifier.naivebayes.NBModel#perlabelThetaNormalizer" visbl="pub" data-isabs="false" fullComment="no" group="Ungrouped"> |
| <a id="perlabelThetaNormalizer:org.apache.mahout.math.Vector"></a> |
| <a id="perlabelThetaNormalizer:Vector"></a> |
| <h4 class="signature"> |
| <span class="modifier_kind"> |
| <span class="modifier"></span> |
| <span class="kind">val</span> |
| </span> |
| <span class="symbol"> |
| <span class="name">perlabelThetaNormalizer</span><span class="result">: <span class="extype" name="org.apache.mahout.math.Vector">Vector</span></span> |
| </span> |
| </h4> |
| <p class="shortcomment cmt">Vector of weight normalizers per label (used only for complemtary models)</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](⇒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="org.apache.mahout.classifier.naivebayes.NBModel#thetaNormalizer" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped"> |
| <a id="thetaNormalizer(label:Int):Double"></a> |
| <a id="thetaNormalizer(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">thetaNormalizer</span><span class="params">(<span name="label">label: <span class="extype" name="scala.Int">Int</span></span>)</span><span class="result">: <span class="extype" name="scala.Double">Double</span></span> |
| </span> |
| </h4> |
| <p class="shortcomment cmt">getter for weight normalizers.</p><div class="fullcomment"><div class="comment cmt"><p>getter for weight normalizers. Used by legacy classifier</p></div></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="org.apache.mahout.classifier.naivebayes.NBModel#totalWeightSum" visbl="pub" data-isabs="false" fullComment="no" group="Ungrouped"> |
| <a id="totalWeightSum:Double"></a> |
| <a id="totalWeightSum:Double"></a> |
| <h4 class="signature"> |
| <span class="modifier_kind"> |
| <span class="modifier"></span> |
| <span class="kind">val</span> |
| </span> |
| <span class="symbol"> |
| <span class="name">totalWeightSum</span><span class="result">: <span class="extype" name="scala.Double">Double</span></span> |
| </span> |
| </h4> |
| |
| </li><li name="org.apache.mahout.classifier.naivebayes.NBModel#validate" visbl="pub" data-isabs="false" fullComment="no" group="Ungrouped"> |
| <a id="validate():Unit"></a> |
| <a id="validate():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">validate</span><span class="params">()</span><span class="result">: <span class="extype" name="scala.Unit">Unit</span></span> |
| </span> |
| </h4> |
| <p class="shortcomment cmt">Model Validation</p> |
| </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><li name="org.apache.mahout.classifier.naivebayes.NBModel#weight" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped"> |
| <a id="weight(label:Int,feature:Int):Double"></a> |
| <a id="weight(Int,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">weight</span><span class="params">(<span name="label">label: <span class="extype" name="scala.Int">Int</span></span>, <span name="feature">feature: <span class="extype" name="scala.Int">Int</span></span>)</span><span class="result">: <span class="extype" name="scala.Double">Double</span></span> |
| </span> |
| </h4> |
| <p class="shortcomment cmt">getter for individual aggregated weights.</p><div class="fullcomment"><div class="comment cmt"><p>getter for individual aggregated weights. Used by legacy classifier</p></div></div> |
| </li><li name="org.apache.mahout.classifier.naivebayes.NBModel#weightsPerFeature" visbl="pub" data-isabs="false" fullComment="no" group="Ungrouped"> |
| <a id="weightsPerFeature:org.apache.mahout.math.Vector"></a> |
| <a id="weightsPerFeature:Vector"></a> |
| <h4 class="signature"> |
| <span class="modifier_kind"> |
| <span class="modifier"></span> |
| <span class="kind">val</span> |
| </span> |
| <span class="symbol"> |
| <span class="name">weightsPerFeature</span><span class="result">: <span class="extype" name="org.apache.mahout.math.Vector">Vector</span></span> |
| </span> |
| </h4> |
| <p class="shortcomment cmt">Vector of summation of all feature weights.</p> |
| </li><li name="org.apache.mahout.classifier.naivebayes.NBModel#weightsPerLabel" visbl="pub" data-isabs="false" fullComment="no" group="Ungrouped"> |
| <a id="weightsPerLabel:org.apache.mahout.math.Vector"></a> |
| <a id="weightsPerLabel:Vector"></a> |
| <h4 class="signature"> |
| <span class="modifier_kind"> |
| <span class="modifier"></span> |
| <span class="kind">val</span> |
| </span> |
| <span class="symbol"> |
| <span class="name">weightsPerLabel</span><span class="result">: <span class="extype" name="org.apache.mahout.math.Vector">Vector</span></span> |
| </span> |
| </h4> |
| <p class="shortcomment cmt">Vector of summation of all label weights.</p> |
| </li><li name="org.apache.mahout.classifier.naivebayes.NBModel#weightsPerLabelAndFeature" visbl="pub" data-isabs="false" fullComment="no" group="Ungrouped"> |
| <a id="weightsPerLabelAndFeature:org.apache.mahout.math.Matrix"></a> |
| <a id="weightsPerLabelAndFeature:Matrix"></a> |
| <h4 class="signature"> |
| <span class="modifier_kind"> |
| <span class="modifier"></span> |
| <span class="kind">val</span> |
| </span> |
| <span class="symbol"> |
| <span class="name">weightsPerLabelAndFeature</span><span class="result">: <span class="extype" name="org.apache.mahout.math.Matrix">Matrix</span></span> |
| </span> |
| </h4> |
| <p class="shortcomment cmt">Aggregated matrix of weights of labels x features</p> |
| </li></ol> |
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