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    2 => 'Predict a value for previously unseen data',
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?>
<div id="svmmodel.predict" class="refentry">
 <div class="refnamediv">
  <h1 class="refname">SVMModel::predict</h1>
  <p class="verinfo">(PECL svm &gt;= 0.1.0)</p><p class="refpurpose"><span class="refname">SVMModel::predict</span> &mdash; <span class="dc-title">Predict a value for previously unseen data</span></p>

 </div>

 <div class="refsect1 description" id="refsect1-svmmodel.predict-description">
  <h3 class="title">Açıklama</h3>
  <div class="methodsynopsis dc-description">
   <span class="modifier">public</span> <span class="methodname"><strong>SVMModel::predict</strong></span>(<span class="methodparam"><span class="type"><a href="language.types.array.php" class="type array">array</a></span> <code class="parameter">$data</code></span>): <span class="type"><a href="language.types.float.php" class="type float">float</a></span></div>

  <p class="simpara">
   This function accepts an array of data and attempts to predict the class
   or regression value based on the model extracted from previously trained data.
  </p>

 </div>


 <div class="refsect1 parameters" id="refsect1-svmmodel.predict-parameters">
  <h3 class="title">Bağımsız Değişkenler</h3>
  <dl>
   
    <dt><code class="parameter">data</code></dt>
    <dd>
     <span class="simpara">
      The array to be classified. This should be a series of key =&gt; value
      pairs in increasing key order, but not necessarily continuous.
     </span>
    </dd>
   
  </dl>
 </div>


 <div class="refsect1 returnvalues" id="refsect1-svmmodel.predict-returnvalues">
  <h3 class="title">Dönen Değerler</h3>
  <p class="simpara">
   Float the predicted value. This will be a class label in the case of
   classification, a real value in the case of regression.
   Throws SVMException on error
  </p>
 </div>


 <div class="refsect1 seealso" id="refsect1-svmmodel.predict-seealso">
  <h3 class="title">Ayrıca Bakınız</h3>
  <ul class="simplelist">
   <li><span class="methodname"><a href="svm.train.php" class="methodname" rel="rdfs-seeAlso">SVM::train()</a> - Create a SVMModel based on training data</span></li>
  </ul>
 </div>



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