title: WEKA's MultilayerPerceptron: training then training again
body: <p>I am trying to do the following with weka's MultilayerPerceptron:</p>
  
  <ol>
  <li>Train with a small subset of the training Instances for a portion of the epochs input,</li>
  <li>Train with whole set of Instances for the remaining epochs.</li>
  </ol>
  
  <p>However, when I do the following in my code, the network seems to reset itself to start with a clean slate the second time.</p>
  
  <p><code>mlp.setTrainingTime(smallTrainingSetEpochs);</code></p>
  
  <p><code>mlp.buildClassifier(smallTrainingSet);</code></p>
  
  <p><code>mlp.setTrainingTime(wholeTrainingSetEpochs);</code></p>
  
  <p><code>mlp.buildClassifier(wholeTrainingSet);</code></p>
  
  <p><strong>Am I doing something wrong, or is this the way that the algorithm is supposed to work in weka?</strong></p>
  
  <p>If you need more information to answer this question, please let me know. I am kind of new to programming with weka and am unsure as to what information would be helpful.</p>