type_gpctree.html

来自「一个由Mike Gashler完成的机器学习方面的includes neural」· HTML 代码 · 共 35 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>GPCTree</b></big></big></big><br>extends <a href="type_GSupervisedLearner.html">GSupervisedLearner</a><br></td><td> A PCTree is similar a DecisionTree, except it divides as follows: It finds the mean and principle component of the output vectors. It divides all the vectors into two groups, one that has a positive dot-product with the principle component (after subtracting the mean) and one that has a negative dot-product with the principle component (after subtracting the mean). Next it finds the average input vector for each of the two groups. Then it finds the mean and principle component of those two vectors. The dividing criteria for this node is to subtract the mean and then see whether the dot-product with the principle component is positive or negative</td></tr></table><br><br><big><big><i>Constructors (public)</i></big></big><br><div style="margin-left: 40px;"><big><b>GPCTree</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>~GPCTree</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> Inductively build the tree
</font></div><br></div><br><big><big><i>Protected</i></big></big><br><div style="margin-left: 40px;">GPCTreeNode* <big><b>BuildNode</b></big>(<a href="type_GArffData.html">GArffData</a>* pData, double* pBuf)<br></div><br></body></html>

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