📄 ibk.html
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<CODE> <A HREF="../../../weka/core/NearestNeighbourSearch.html" title="class in weka.core">NearestNeighbourSearch</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/lazy/IBk.html#getNearestNeighbourSearchAlgorithm()">getNearestNeighbourSearchAlgorithm</A></B>()</CODE><BR> Returns the current nearestNeighbourSearch algorithm in use.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/lazy/IBk.html#getNumTraining()">getNumTraining</A></B>()</CODE><BR> Get the number of training instances the classifier is currently using</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String[]</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/lazy/IBk.html#getOptions()">getOptions</A></B>()</CODE><BR> Gets the current settings of IBk.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../../weka/core/TechnicalInformation.html" title="class in weka.core">TechnicalInformation</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/lazy/IBk.html#getTechnicalInformation()">getTechnicalInformation</A></B>()</CODE><BR> Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/lazy/IBk.html#getWindowSize()">getWindowSize</A></B>()</CODE><BR> Gets the maximum number of instances allowed in the training pool.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/lazy/IBk.html#globalInfo()">globalInfo</A></B>()</CODE><BR> Returns a string describing classifier</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/lazy/IBk.html#KNNTipText()">KNNTipText</A></B>()</CODE><BR> Returns the tip text for this property</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.util.Enumeration</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/lazy/IBk.html#listOptions()">listOptions</A></B>()</CODE><BR> Returns an enumeration describing the available options.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/lazy/IBk.html#main(java.lang.String[])">main</A></B>(java.lang.String[] argv)</CODE><BR> Main method for testing this class.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/lazy/IBk.html#meanSquaredTipText()">meanSquaredTipText</A></B>()</CODE><BR> Returns the tip text for this property</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/lazy/IBk.html#nearestNeighbourSearchAlgorithmTipText()">nearestNeighbourSearchAlgorithmTipText</A></B>()</CODE><BR> Returns the tip text for this property</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../../weka/core/Instances.html" title="class in weka.core">Instances</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/lazy/IBk.html#pruneToK(weka.core.Instances, double[], int)">pruneToK</A></B>(<A HREF="../../../weka/core/Instances.html" title="class in weka.core">Instances</A> neighbours, double[] distances, int k)</CODE><BR> Prunes the list to contain the k nearest neighbors.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/lazy/IBk.html#setCrossValidate(boolean)">setCrossValidate</A></B>(boolean newCrossValidate)</CODE><BR> Sets whether hold-one-out cross-validation will be used to select the best k value</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/lazy/IBk.html#setDistanceWeighting(weka.core.SelectedTag)">setDistanceWeighting</A></B>(<A HREF="../../../weka/core/SelectedTag.html" title="class in weka.core">SelectedTag</A> newMethod)</CODE><BR> Sets the distance weighting method used.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/lazy/IBk.html#setKNN(int)">setKNN</A></B>(int k)</CODE><BR> Set the number of neighbours the learner is to use.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/lazy/IBk.html#setMeanSquared(boolean)">setMeanSquared</A></B>(boolean newMeanSquared)</CODE><BR> Sets whether the mean squared error is used rather than mean absolute error when doing cross-validation.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/lazy/IBk.html#setNearestNeighbourSearchAlgorithm(weka.core.NearestNeighbourSearch)">setNearestNeighbourSearchAlgorithm</A></B>(<A HREF="../../../weka/core/NearestNeighbourSearch.html" title="class in weka.core">NearestNeighbourSearch</A> nearestNeighbourSearchAlgorithm)</CODE><BR> Sets the nearestNeighbourSearch algorithm to be used for finding nearest neighbour(s).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/lazy/IBk.html#setOptions(java.lang.String[])">setOptions</A></B>(java.lang.String[] options)</CODE><BR> Parses a given list of options.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/lazy/IBk.html#setWindowSize(int)">setWindowSize</A></B>(int newWindowSize)</CODE><BR> Sets the maximum number of instances allowed in the training pool.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/lazy/IBk.html#toString()">toString</A></B>()</CODE><BR> Returns a description of this classifier.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/lazy/IBk.html#updateClassifier(weka.core.Instance)">updateClassifier</A></B>(<A HREF="../../../weka/core/Instance.html" title="class in weka.core">Instance</A> instance)</CODE><BR> Adds the supplied instance to the training set</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/lazy/IBk.html#windowSizeTipText()">windowSizeTipText</A></B>()</CODE><BR> Returns the tip text for this property</TD></TR></TABLE> <A NAME="methods_inherited_from_class_weka.classifiers.Classifier"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TH ALIGN="left"><B>Methods inherited from class weka.classifiers.<A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A></B></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><A HREF="../../../weka/classifiers/Classifier.html#classifyInstance(weka.core.Instance)">classifyInstance</A>, <A HREF="../../../weka/classifiers/Classifier.html#debugTipText()">debugTipText</A>, <A HREF="../../../weka/classifiers/Classifier.html#forName(java.lang.String, java.lang.String[])">forName</A>, <A HREF="../../../weka/classifiers/Classifier.html#getDebug()">getDebug</A>, <A HREF="../../../weka/classifiers/Classifier.html#makeCopies(weka.classifiers.Classifier, int)">makeCopies</A>, <A HREF="../../../weka/classifiers/Classifier.html#makeCopy(weka.classifiers.Classifier)">makeCopy</A>, <A HREF="../../../weka/classifiers/Classifier.html#setDebug(boolean)">setDebug</A></CODE></TD></TR></TABLE> <A NAME="methods_inherited_from_class_java.lang.Object"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TH ALIGN="left"><B>Methods inherited from class java.lang.Object</B></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE>equals, getClass, hashCode, notify, notifyAll, wait, wait, wait</CODE></TD></TR></TABLE> <P><!-- ============ FIELD DETAIL =========== --><A NAME="field_detail"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2"><B>Field Detail</B></FONT></TH></TR></TABLE><A NAME="WEIGHT_NONE"><!-- --></A><H3>WEIGHT_NONE</H3><PRE>public static final int <B>WEIGHT_NONE</B></PRE><DL><DD>no weighting<P><DL><DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.lazy.IBk.WEIGHT_NONE">Constant Field Values</A></DL></DL><HR><A NAME="WEIGHT_INVERSE"><!-- --></A><H3>WEIGHT_INVERSE</H3><PRE>public static final int <B>WEIGHT_INVERSE</B></PRE><DL><DD>weight by 1/distance<P><DL><DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.lazy.IBk.WEIGHT_INVERSE">Constant Field Values</A></DL></DL><HR><A NAME="WEIGHT_SIMILARITY"><!-- --></A><H3>WEIGHT_SIMILARITY</H3><PRE>public static final int <B>WEIGHT_SIMILARITY</B></PRE><DL><DD>weight by 1-distance<P><DL><DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.lazy.IBk.WEIGHT_SIMILARITY">Constant Field Values</A></DL></DL><HR><A NAME="TAGS_WEIGHTING"><!-- --></A><H3>TAGS_WEIGHTING</H3><PRE>public static final <A HREF="../../../weka/core/Tag.html" title="class in weka.core">Tag</A>[] <B>TAGS_WEIGHTING</B></PRE><DL><DD>possible instance weighting methods<P><DL></DL></DL><!-- ========= CONSTRUCTOR DETAIL ======== --><A NAME="constructor_detail"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2"><B>Constructor Detail</B></FONT></TH></TR></TABLE><A NAME="IBk(int)"><!-- --></A><H3>IBk</H3><PRE>public <B>IBk</B>(int k)</PRE><DL><DD>IBk classifier. Simple instance-based learner that uses the class of the nearest k training instances for the class of the test instances.<P><DL><DT><B>Parameters:</B><DD><CODE>k</CODE> - the number of nearest neighbors to use for prediction</DL></DL><HR><A NAME="IBk()"><!-- --></A><H3>IBk</H3><PRE>public <B>IBk</B>()</PRE><DL><DD>IB1 classifer. Instance-based learner. Predicts the class of the single nearest training instance for each test instance.<P></DL><!-- ============ METHOD DETAIL ========== --><A NAME="method_detail"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2"><B>Method Detail</B></FONT></TH></TR></TABLE><A NAME="globalInfo()"><!-- --></A><H3>globalInfo</H3><PRE>public java.lang.String <B>globalInfo</B>()</PRE><DL><DD>Returns a string describing classifier<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>a description suitable for displaying in the explorer/experimenter gui</DL>⌨️ 快捷键说明
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