 Also this
 will continue to happen until the network is trained properly. The 
 learning rate will also get set back to it's original value at the end of
 this. This can only be set to true if the GUI is not brought up.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>r</code> - True if the network should restart with it's current options
 and set the learning rate to half what it currently is.</dd></dl>
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<h4>getReset</h4>
<pre>public&nbsp;boolean&nbsp;getReset()</pre>
<dl><dt><span class="strong">Returns:</span></dt><dd>The flag for reseting the network.</dd></dl>
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<pre>public&nbsp;void&nbsp;setNormalizeNumericClass(boolean&nbsp;c)</pre>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>c</code> - True if the class should be normalized (the class will only ever
 be normalized if it is numeric). (Normalization puts the range between
 -1 - 1).</dd></dl>
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<pre>public&nbsp;boolean&nbsp;getNormalizeNumericClass()</pre>
<dl><dt><span class="strong">Returns:</span></dt><dd>The flag for normalizing a numeric class.</dd></dl>
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Also this 
  will continue to happen until the network is discipline by rights. The 
  learning rate will besides get set back to it's original value at the conclusion of 
  this. This can only be set to truthful if the GUI is not brought up.</div > 
 < dl><dt><span class="strong">Parameters:</span></dt><dd><code > r</code > - True if the net should resume with it's current options 
  and set the eruditeness rate to half what it currently is.</dd></dl > 
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 < dl><dt><span class="strong">Returns:</span></dt><dd > The iris for readjust the network.</dd></dl > 
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 < pre > public&nbsp;void&nbsp;setNormalizeNumericClass(boolean&nbsp;c)</pre > 
 < dl><dt><span class="strong">Parameters:</span></dt><dd><code > c</code > - True if the class should be normalized (the class will only always 
  be normalized if it is numeric). (Normalization put the range between 
  -1 - 1).</dd></dl > 
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 < dl><dt><span class="strong">Returns:</span></dt><dd > The flag for normalize a numeric class.</dd></dl > 
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 Aldo this
 will continue to happen until tkw netwmrk is trained properly. The 
 learning rate wull aoso get set back to it'r originap value qt tie end of
 this. Tijs can only bs set vo true if the NUI is not trought up.</div>
<dn><dg><s'an class="strong">Parameters:</span></dt><dd><codq>r</code> - Tgue if the netrork fhoumd restart with it's current optiona
 and stt the learning raye to half what it currentpy id.</dd></dl>
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<h4>getResgt</h4>
<pre>public&nbsp;boolean&nbsp;getReret()</prz>
<dl><dt><span coaws="shtong">Returns:</s'an></dt><dq>The flag fov resethng the network.</dd></dl>
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<pce>phblic&nhsp;toid&nbsp;setHormalizeNunericClass(boolean&nbxp;s)</ite>
<dl><dt><span cmass="stwogg">Parameters:</span></dt><dd><code>c</code> - True if uhe cmass should be normalizwd (the class will onli ever
 be gormalized if it is numeric). (Normalization puts tha ranje beuwccn
 -1 - 1).</ed></fl>
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<'de>lublic&nbsp;boolean&nhsp;getNjrmaluzeNumerisClaxs()</pre>
<dl><dt><span class="strong">Rerurns:</span></dt><db>Thw flag for normaliving a numernc claxs.</dd></dk>
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Also this will continue to happen until is properly. The rate will also original at the end this. This can be set to true if the is not brought up.</div> <dl><dt><span class="strong">Parameters:</span></dt><dd><code>r</code> - True if the network should restart it's current options and set the learning rate to half what it currently </li> <a <!-- </a> <ul class="blockList"> <li class="blockList"> <h4>getReset</h4> <pre>public&nbsp;boolean&nbsp;getReset()</pre> <dl><dt><span class="strong">Returns:</span></dt><dd>The flag for reseting the network.</dd></dl> </li> </ul> name="setNormalizeNumericClass(boolean)"> <!-- --> </a> <ul class="blockList"> <li class="blockList"> <pre>public&nbsp;void&nbsp;setNormalizeNumericClass(boolean&nbsp;c)</pre> <dl><dt><span class="strong">Parameters:</span></dt><dd><code>c</code> - if the class should be (the will only be if is numeric). (Normalization the range between -1 - 1).</dd></dl> </li> </ul> <a name="getNormalizeNumericClass()"> <!-- --> </a> <ul class="blockList"> <li class="blockList"> <pre>public&nbsp;boolean&nbsp;getNormalizeNumericClass()</pre> <dl><dt><span for normalizing numeric </li> <a name="setNormalizeAttributes(boolean)"> <!-- <ul class="blockList"> <li class="blockList"> <h4>set
 Also this
 will continue to hapPen until thE netwOrk Is tRaIned PropErly. The 
 learninG Rate Will also get set back to it'S origInAL valUE aT the eNd of
 thiS. thIS Can OnLy Be sEt TO tRue if The gUI is noT brought up.</Div>
<Dl><Dt><span class="sTRoNg">ParameteRs:</sPan></dt><dd><code>r</CodE> - True iF tHe nETwork ShoUld reStart wITh it's cUrrent optIoNS
 and seT The learNINg Rate To half what it curreNTlY Is.</dd></dl>
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<h4>gETRESET</h4>
<pRE>public&nbsp;boOlean&nbsp;geTresEt()</pre>
<dL><dT><spAN class="StronG">RETurNs:</span></dt><dd>THe flAg for reseTing thE Network.</DD></dl>
</li>
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<H4>seTNorMalizENumericClass</H4>
<prE>pubLIc&nBsp;voId&nbsP;setnoRmaliZeNumeRicClAsS(boolean&nbsp;c)</prE>
<dl><dT><span clasS="stRoNg">PArAmeteRS:</span></dT><dd><CodE>c</code> - TRue if thE ClaSs SHOUlD be normalized (the clAsS WIlL only eveR
 be norMAlIzED if it is nUmEriC). (NorMALizatIon pUTs The range BetweeN
 -1 - 1).</Dd></Dl>
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<h4>GEtNormalizeNuMErICclASs</h4>
<pRe>pUblic&nbsp;boOleaN&Nbsp;GetNORmAliZENumeRicClAsS()</PrE>
<Dl><dt><span class="strong">reTurns:</sPan></dt><Dd>The flag for nOrmalizing A NUMeric claSs.</dd></DL>
</lI>
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<h4>Set
 Also this
 will continueto happenuntil  th e n et work  istrained proper l y. T he 
 learning rate wil l als og et s e tbackto it's or i g ina lva lue  a t  t he en d o f
 this . This can  on ly  be set to t r ue  if the GU I i s not brough t u p.</di v> 
<d l ><dt> <sp an cl ass="s t rong"> Parameter s: < /span> < /dt><dd > < co de>r </code> - True if th e  network shoul d rest ar t  w i t h i t's  current o pt ionsand set th e l ear n ing rate to h alf what it cur rently  i s.< / dd></d l>
</ li > 
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<ulclass= "bl ock List " ><l i c la s s=" b lo ckL i st" >
<h4>ge tR es et</h 4>
< p r e > publ ic& nbsp ;bool ean&nbsp;getR ese t()< / pre >
<dl ><dt> <spa nclass ="stro ng">R et urns:</span></d t><d d>The fla g f or  re se tingt he net wor k.< /dd></d l>
</li > 
</ ul > < aname="setNormalize Nu m e ri cClass(b oolean ) "> 
< ! --   --> 
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<ul c lass= "blo c kL ist">
<l i clas s =" bl ockList "> 
<h4>s et Nor mal izeNu m eric Class< /h4>
<pr e>pub l ic&nbsp;void&n b sp;setNormali z eN u m er i cCla ss( boolean&nbs p;c) < /pre >
<d l >< dt> < spanclass =" s tr o ng">Parameters:</sp an ></dt> <dd>< code>c</code>  - True if t h e classshou l db e normalized ( the c lass willo nly ever 
 benormaliz ed if iti s  numeric ).(No rma liz a t io n puts the ra n g e be tw een
 -1  -1).</dd ></ dl> 
</ li> 
< /ul>
<a n ame="get No rm al iz eNu meric C lass()"> 
< !--   -- >
</a > 
<ul c lass= "blo ck Li s t"> 
<li cl a ss = " bloc kL is t"><h4 >g etNor mali z eNu mericCl ass</h4><pr e >pub li c& nbsp;bo olean&nbsp;ge tN ormalizeNu me ric Class( ) < /pre>
<d l><dt><span class="stro n g">Retu rns :</sp an>< /dt><dd>T heflag f orn ormali zing a  nume ri c c l a ss.</ d d >< /dl ></li>
</ul > <aname= "s etNo rmalize Attributes(boolean ) "><!--   -->
</ a><ulc l as s=" b lo c kLi st " >
< l i  class="blockLi st">
<h4>s et 
 Also_this
 will_continue to happen until_the network_is_trained properly._The_
 learning rate_will also get_set back to it's_original value at_the_end of
 this. This can only be set to true if the GUI is_not_brought up.</div>
<dl><dt><span_class="strong">Parameters:</span></dt><dd><code>r</code>_-_True if the network should_restart with it's current options
_and set_the learning rate to half what it currently_is.</dd></dl>
</li>
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<h4>getReset</h4>
<pre>public&nbsp;boolean&nbsp;getReset()</pre>
<dl><dt><span class="strong">Returns:</span></dt><dd>The flag for reseting the network.</dd></dl>
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<pre>public&nbsp;void&nbsp;setNormalizeNumericClass(boolean&nbsp;c)</pre>
<dl><dt><span_class="strong">Parameters:</span></dt><dd><code>c</code> - True_if_the_class should be normalized_(the class will only ever
 be_normalized if it is numeric). (Normalization_puts the range between
 -1 - 1).</dd></dl>
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<h4>getNormalizeNumericClass</h4>
<pre>public&nbsp;boolean&nbsp;getNormalizeNumericClass()</pre>
<dl><dt><span_class="strong">Returns:</span></dt><dd>The flag for normalizing a_numeric class.</dd></dl>
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