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</DD><DD><DL><DT><B>Returns:</B><DD>an enumeration of all the available options.</DL></DD></DL><HR><A NAME="setOptions(java.lang.String[])"><!-- --></A><H3>setOptions</H3><PRE>public void <B>setOptions</B>(java.lang.String[]&nbsp;options)                throws java.lang.Exception</PRE><DL><DD>Parses a given list of options. <p/>   <!-- options-start --> Valid options are: <p/>  <pre> -L &lt;learning rate&gt;  Learning Rate for the backpropagation algorithm.  (Value should be between 0 - 1, Default = 0.3).</pre>  <pre> -M &lt;momentum&gt;  Momentum Rate for the backpropagation algorithm.  (Value should be between 0 - 1, Default = 0.2).</pre>  <pre> -N &lt;number of epochs&gt;  Number of epochs to train through.  (Default = 500).</pre>  <pre> -V &lt;percentage size of validation set&gt;  Percentage size of validation set to use to terminate  training (if this is non zero it can pre-empt num of epochs.  (Value should be between 0 - 100, Default = 0).</pre>  <pre> -S &lt;seed&gt;  The value used to seed the random number generator  (Value should be &gt;= 0 and and a long, Default = 0).</pre>  <pre> -E &lt;threshold for number of consequetive errors&gt;  The consequetive number of errors allowed for validation  testing before the netwrok terminates.  (Value should be &gt; 0, Default = 20).</pre>  <pre> -G  GUI will be opened.  (Use this to bring up a GUI).</pre>  <pre> -A  Autocreation of the network connections will NOT be done.  (This will be ignored if -G is NOT set)</pre>  <pre> -B  A NominalToBinary filter will NOT automatically be used.  (Set this to not use a NominalToBinary filter).</pre>  <pre> -H &lt;comma seperated numbers for nodes on each layer&gt;  The hidden layers to be created for the network.  (Value should be a list of comma separated Natural   numbers or the letters 'a' = (attribs + classes) / 2,   'i' = attribs, 'o' = classes, 't' = attribs .+ classes)  for wildcard values, Default = a).</pre>  <pre> -C  Normalizing a numeric class will NOT be done.  (Set this to not normalize the class if it's numeric).</pre>  <pre> -I  Normalizing the attributes will NOT be done.  (Set this to not normalize the attributes).</pre>  <pre> -R  Reseting the network will NOT be allowed.  (Set this to not allow the network to reset).</pre>  <pre> -D  Learning rate decay will occur.  (Set this to cause the learning rate to decay).</pre>    <!-- options-end --><P><DD><DL><DT><B>Specified by:</B><DD><CODE><A HREF="../../../weka/core/OptionHandler.html#setOptions(java.lang.String[])">setOptions</A></CODE> in interface <CODE><A HREF="../../../weka/core/OptionHandler.html" title="interface in weka.core">OptionHandler</A></CODE><DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/Classifier.html#setOptions(java.lang.String[])">setOptions</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A></CODE></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>options</CODE> - the list of options as an array of strings<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if an option is not supported</DL></DD></DL><HR><A NAME="getOptions()"><!-- --></A><H3>getOptions</H3><PRE>public java.lang.String[] <B>getOptions</B>()</PRE><DL><DD>Gets the current settings of NeuralNet.<P><DD><DL><DT><B>Specified by:</B><DD><CODE><A HREF="../../../weka/core/OptionHandler.html#getOptions()">getOptions</A></CODE> in interface <CODE><A HREF="../../../weka/core/OptionHandler.html" title="interface in weka.core">OptionHandler</A></CODE><DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/Classifier.html#getOptions()">getOptions</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A></CODE></DL></DD><DD><DL><DT><B>Returns:</B><DD>an array of strings suitable for passing to setOptions()</DL></DD></DL><HR><A NAME="toString()"><!-- --></A><H3>toString</H3><PRE>public java.lang.String <B>toString</B>()</PRE><DL><DD><DL><DT><B>Overrides:</B><DD><CODE>toString</CODE> in class <CODE>java.lang.Object</CODE></DL></DD><DD><DL><DT><B>Returns:</B><DD>string describing the model.</DL></DD></DL><HR><A NAME="globalInfo()"><!-- --></A><H3>globalInfo</H3><PRE>public java.lang.String <B>globalInfo</B>()</PRE><DL><DD>This will return a string describing the classifier.<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>The string.</DL></DD></DL><HR><A NAME="learningRateTipText()"><!-- --></A><H3>learningRateTipText</H3><PRE>public java.lang.String <B>learningRateTipText</B>()</PRE><DL><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>a string to describe the learning rate option.</DL></DD></DL><HR><A NAME="momentumTipText()"><!-- --></A><H3>momentumTipText</H3><PRE>public java.lang.String <B>momentumTipText</B>()</PRE><DL><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>a string to describe the momentum option.</DL></DD></DL><HR><A NAME="autoBuildTipText()"><!-- --></A><H3>autoBuildTipText</H3><PRE>public java.lang.String <B>autoBuildTipText</B>()</PRE><DL><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>a string to describe the AutoBuild option.</DL></DD></DL><HR><A NAME="randomSeedTipText()"><!-- --></A><H3>randomSeedTipText</H3><PRE>public java.lang.String <B>randomSeedTipText</B>()</PRE><DL><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>a string to describe the random seed option.</DL></DD></DL><HR><A NAME="validationThresholdTipText()"><!-- --></A><H3>validationThresholdTipText</H3><PRE>public java.lang.String <B>validationThresholdTipText</B>()</PRE><DL><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>a string to describe the validation threshold option.</DL></DD></DL><HR><A NAME="GUITipText()"><!-- --></A><H3>GUITipText</H3><PRE>public java.lang.String <B>GUITipText</B>()</PRE><DL><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>a string to describe the GUI option.</DL></DD></DL><HR><A NAME="validationSetSizeTipText()"><!-- --></A><H3>validationSetSizeTipText</H3><PRE>public java.lang.String <B>validationSetSizeTipText</B>()</PRE><DL><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>a string to describe the validation size option.</DL></DD></DL><HR><A NAME="trainingTimeTipText()"><!-- --></A><H3>trainingTimeTipText</H3><PRE>public java.lang.String <B>trainingTimeTipText</B>()</PRE><DL><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>a string to describe the learning rate option.</DL></DD></DL><HR><A NAME="nominalToBinaryFilterTipText()"><!-- --></A><H3>nominalToBinaryFilterTipText</H3><PRE>public java.lang.String <B>nominalToBinaryFilterTipText</B>()</PRE><DL><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>a string to describe the nominal to binary option.</DL></DD></DL><HR><A NAME="hiddenLayersTipText()"><!-- --></A><H3>hiddenLayersTipText</H3><PRE>public java.lang.String <B>hiddenLayersTipText</B>()</PRE><DL><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>a string to describe the hidden layers in the network.</DL></DD></DL><HR><A NAME="normalizeNumericClassTipText()"><!-- --></A><H3>normalizeNumericClassTipText</H3><PRE>public java.lang.String <B>normalizeNumericClassTipText</B>()</PRE><DL><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>a string to describe the nominal to binary option.</DL></DD></DL><HR><A NAME="normalizeAttributesTipText()"><!-- --></A><H3>normalizeAttributesTipText</H3><PRE>public java.lang.String <B>normalizeAttributesTipText</B>()</PRE><DL><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>a string to describe the nominal to binary option.</DL></DD></DL><HR><A NAME="resetTipText()"><!-- --></A><H3>resetTipText</H3><PRE>public java.lang.String <B>resetTipText</B>()</PRE><DL><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>a string to describe the Reset option.</DL></DD></DL><HR><A NAME="decayTipText()"><!-- --></A><H3>decayTipText</H3><PRE>public java.lang.String <B>decayTipText</B>()</PRE><DL><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>a string to describe the Decay option.</DL></DD></DL><!-- ========= END OF CLASS DATA ========= --><HR><!-- ======= START OF BOTTOM NAVBAR ====== --><A NAME="navbar_bottom"><!-- --></A><A HREF="#skip-navbar_bottom" title="Skip navigation links"></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0" SUMMARY=""><TR><TD 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