ibk.html

数据挖掘的最常用工具。由于开源

<DT><B>Specified by:</B><DD><CODE><A HREF="../../../weka/core/TechnicalInformationHandler.html#getTechnicalInformation()">getTechnicalInformation</A></CODE> in interface <CODE><A HREF="../../../weka/core/TechnicalInformationHandler.html" title="interface in weka.core">TechnicalInformationHandler</A></CODE></DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the technical information about this class</DL>
</DD>
</DL>
<HR>

<A NAME="KNNTipText()"><!-- --></A><H3>
KNNTipText</H3>
<PRE>
public java.lang.String <B>KNNTipText</B>()</PRE>
<DL>
<DD>Returns the tip text for this property.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>tip text for this property suitable for
 displaying in the explorer/experimenter gui</DL>
</DD>
</DL>
<HR>

<A NAME="setKNN(int)"><!-- --></A><H3>
setKNN</H3>
<PRE>
public void <B>setKNN</B>(int&nbsp;k)</PRE>
<DL>
<DD>Set the number of neighbours the learner is to use.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>k</CODE> - the number of neighbours.</DL>
</DD>
</DL>
<HR>

<A NAME="getKNN()"><!-- --></A><H3>
getKNN</H3>
<PRE>
public int <B>getKNN</B>()</PRE>
<DL>
<DD>Gets the number of neighbours the learner will use.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the number of neighbours.</DL>
</DD>
</DL>
<HR>

<A NAME="windowSizeTipText()"><!-- --></A><H3>
windowSizeTipText</H3>
<PRE>
public java.lang.String <B>windowSizeTipText</B>()</PRE>
<DL>
<DD>Returns the tip text for this property.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>tip text for this property suitable for
 displaying in the explorer/experimenter gui</DL>
</DD>
</DL>
<HR>

<A NAME="getWindowSize()"><!-- --></A><H3>
getWindowSize</H3>
<PRE>
public int <B>getWindowSize</B>()</PRE>
<DL>
<DD>Gets the maximum number of instances allowed in the training
 pool. The addition of new instances above this value will result
 in old instances being removed. A value of 0 signifies no limit
 to the number of training instances.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>Value of WindowSize.</DL>
</DD>
</DL>
<HR>

<A NAME="setWindowSize(int)"><!-- --></A><H3>
setWindowSize</H3>
<PRE>
public void <B>setWindowSize</B>(int&nbsp;newWindowSize)</PRE>
<DL>
<DD>Sets the maximum number of instances allowed in the training
 pool. The addition of new instances above this value will result
 in old instances being removed. A value of 0 signifies no limit
 to the number of training instances.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>newWindowSize</CODE> - Value to assign to WindowSize.</DL>
</DD>
</DL>
<HR>

<A NAME="distanceWeightingTipText()"><!-- --></A><H3>
distanceWeightingTipText</H3>
<PRE>
public java.lang.String <B>distanceWeightingTipText</B>()</PRE>
<DL>
<DD>Returns the tip text for this property.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>tip text for this property suitable for
 displaying in the explorer/experimenter gui</DL>
</DD>
</DL>
<HR>

<A NAME="getDistanceWeighting()"><!-- --></A><H3>
getDistanceWeighting</H3>
<PRE>
public <A HREF="../../../weka/core/SelectedTag.html" title="class in weka.core">SelectedTag</A> <B>getDistanceWeighting</B>()</PRE>
<DL>
<DD>Gets the distance weighting method used. Will be one of
 WEIGHT_NONE, WEIGHT_INVERSE, or WEIGHT_SIMILARITY
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the distance weighting method used.</DL>
</DD>
</DL>
<HR>

<A NAME="setDistanceWeighting(weka.core.SelectedTag)"><!-- --></A><H3>
setDistanceWeighting</H3>
<PRE>
public void <B>setDistanceWeighting</B>(<A HREF="../../../weka/core/SelectedTag.html" title="class in weka.core">SelectedTag</A>&nbsp;newMethod)</PRE>
<DL>
<DD>Sets the distance weighting method used. Values other than
 WEIGHT_NONE, WEIGHT_INVERSE, or WEIGHT_SIMILARITY will be ignored.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>newMethod</CODE> - the distance weighting method to use</DL>
</DD>
</DL>
<HR>

<A NAME="meanSquaredTipText()"><!-- --></A><H3>
meanSquaredTipText</H3>
<PRE>
public java.lang.String <B>meanSquaredTipText</B>()</PRE>
<DL>
<DD>Returns the tip text for this property.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>tip text for this property suitable for
 displaying in the explorer/experimenter gui</DL>
</DD>
</DL>
<HR>

<A NAME="getMeanSquared()"><!-- --></A><H3>
getMeanSquared</H3>
<PRE>
public boolean <B>getMeanSquared</B>()</PRE>
<DL>
<DD>Gets whether the mean squared error is used rather than mean
 absolute error when doing cross-validation.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>true if so.</DL>
</DD>
</DL>
<HR>

<A NAME="setMeanSquared(boolean)"><!-- --></A><H3>
setMeanSquared</H3>
<PRE>
public void <B>setMeanSquared</B>(boolean&nbsp;newMeanSquared)</PRE>
<DL>
<DD>Sets whether the mean squared error is used rather than mean
 absolute error when doing cross-validation.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>newMeanSquared</CODE> - true if so.</DL>
</DD>
</DL>
<HR>

<A NAME="crossValidateTipText()"><!-- --></A><H3>
crossValidateTipText</H3>
<PRE>
public java.lang.String <B>crossValidateTipText</B>()</PRE>
<DL>
<DD>Returns the tip text for this property.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>tip text for this property suitable for
 displaying in the explorer/experimenter gui</DL>
</DD>
</DL>
<HR>

<A NAME="getCrossValidate()"><!-- --></A><H3>
getCrossValidate</H3>
<PRE>
public boolean <B>getCrossValidate</B>()</PRE>
<DL>
<DD>Gets whether hold-one-out cross-validation will be used
 to select the best k value.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>true if cross-validation will be used.</DL>
</DD>
</DL>
<HR>

<A NAME="setCrossValidate(boolean)"><!-- --></A><H3>
setCrossValidate</H3>
<PRE>
public void <B>setCrossValidate</B>(boolean&nbsp;newCrossValidate)</PRE>
<DL>
<DD>Sets whether hold-one-out cross-validation will be used
 to select the best k value.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>newCrossValidate</CODE> - true if cross-validation should be used.</DL>
</DD>
</DL>
<HR>

<A NAME="nearestNeighbourSearchAlgorithmTipText()"><!-- --></A><H3>
nearestNeighbourSearchAlgorithmTipText</H3>
<PRE>
public java.lang.String <B>nearestNeighbourSearchAlgorithmTipText</B>()</PRE>
<DL>
<DD>Returns the tip text for this property.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>tip text for this property suitable for
 displaying in the explorer/experimenter gui</DL>
</DD>
</DL>
<HR>

<A NAME="getNearestNeighbourSearchAlgorithm()"><!-- --></A><H3>
getNearestNeighbourSearchAlgorithm</H3>
<PRE>
public <A HREF="../../../weka/core/neighboursearch/NearestNeighbourSearch.html" title="class in weka.core.neighboursearch">NearestNeighbourSearch</A> <B>getNearestNeighbourSearchAlgorithm</B>()</PRE>
<DL>
<DD>Returns the current nearestNeighbourSearch algorithm in use.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the NearestNeighbourSearch algorithm currently in use.</DL>
</DD>
</DL>
<HR>

<A NAME="setNearestNeighbourSearchAlgorithm(weka.core.neighboursearch.NearestNeighbourSearch)"><!-- --></A><H3>
setNearestNeighbourSearchAlgorithm</H3>
<PRE>
public void <B>setNearestNeighbourSearchAlgorithm</B>(<A HREF="../../../weka/core/neighboursearch/NearestNeighbourSearch.html" title="class in weka.core.neighboursearch">NearestNeighbourSearch</A>&nbsp;nearestNeighbourSearchAlgorithm)</PRE>
<DL>
<DD>Sets the nearestNeighbourSearch algorithm to be used for finding nearest
 neighbour(s).
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>nearestNeighbourSearchAlgorithm</CODE> - - The NearestNeighbourSearch class.</DL>
</DD>
</DL>
<HR>

<A NAME="getNumTraining()"><!-- --></A><H3>
getNumTraining</H3>
<PRE>
public int <B>getNumTraining</B>()</PRE>
<DL>
<DD>Get the number of training instances the classifier is currently using.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the number of training instances the classifier is currently using</DL>