type_gnaivebayes.html

来自「一个由Mike Gashler完成的机器学习方面的includes neural」· HTML 代码 · 共 52 行

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<html><head><title>Generated Documentation</title></head><body>	<image src="headerimage.png">	<br><br><table><tr><td><big><big><big style="font-family: arial;"><b>GNaiveBayes</b></big></big></big><br>extends <a href="type_GSupervisedLearner.html">GSupervisedLearner</a><br></td><td> A naive Bayes classifier</td></tr></table><br><br><big><big><i>Constructors (public)</i></big></big><br><div style="margin-left: 40px;"><big><b>GNaiveBayes</b></big>(<a href="type_GXMLTag.html">GXMLTag</a>* pTag)<br><big><b>GNaiveBayes</b></big>(<a href="type_GArffRelation.html">GArffRelation</a>* pRelation)<br></div><br><big><big><i>Destructors</i></big></big><br><div style="margin-left: 40px;"><big><b>~GNaiveBayes</b></big>()<br></div><br><big><big><i>Virtual (public)</i></big></big><br><div style="margin-left: 40px;">void <big><b>Eval</b></big>(double* pVector)<br><div style="margin-left: 80px;"><font color=brown> Deduce the output values from the input values
</font></div><br>void <big><b>Reset</b></big>()<br><div style="margin-left: 80px;"><font color=brown> Discard any training (but not any settings) so it can be trained again</font></div><br>void <big><b>Train</b></big>(<a href="type_GArffData.html">GArffData</a>* pData)<br><div style="margin-left: 80px;"><font color=brown> Train using all the samples in a collection</font></div><br></div><br><big><big><i>Public</i></big></big><br><div style="margin-left: 40px;">void <big><b>AddTrainingSample</b></big>(double* pRow)<br><div style="margin-left: 80px;"><font color=brown> Adds a single training sample to the collection</font></div><br>void <big><b>ComputeDiscretizeRanges</b></big>(<a href="type_GArffData.html">GArffData</a>* pData)<br>double <big><b>EvalWithConfidence</b></big>(double* pRow)<br><div style="margin-left: 80px;"><font color=brown> Evaluates and returns the confidence/probability that it is correct</font></div><br>void <big><b>SetDiscretizeBuckets</b></big>(int n)<br>void <big><b>SetEquivalentSampleSize</b></big>(int n)<br><a href="type_GXMLTag.html">GXMLTag</a>* <big><b>ToXml</b></big>(<a href="type_GPointerArray.html">GPointerArray</a>* pAttrNames)<br><div style="margin-left: 80px;"><font color=brown> Serialize the internal representation</font></div><br></div><br><big><big><i>Protected</i></big></big><br><div style="margin-left: 40px;">void <big><b>DiscretizeRow</b></big>(double* pRow)<br>void <big><b>UndiscretizeRow</b></big>(double* pRow)<br></div><br></body></html>

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