Examples of weka.classifiers.lazy.kstar.KStarCache

weka.classifiers.lazy.kstar.KStarCache
A class representing the caching system used to keep track of each attribute value and its corresponding scale factor or stop parameter. @author Len Trigg (len@reeltwo.com) @author Abdelaziz Mahoui (am14@cs.waikato.ac.nz) @version $Revision: 1.11 $

      if (m_BlendMethod == B_ENTROPY) {
  generateRandomClassColomns();
      }
      m_Cache = new KStarCache[m_NumAttributes];
      for (int i=0; i<m_NumAttributes;i++) {
  m_Cache[i] = new KStarCache();
      }
      m_InitFlag = OFF;
      //      System.out.println("Computing...");
    }
    // init done.

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      if (m_BlendMethod == B_ENTROPY) {
  generateRandomClassColomns();
      }
      m_Cache = new KStarCache[m_NumAttributes];
      for (int i=0; i<m_NumAttributes;i++) {
  m_Cache[i] = new KStarCache();
      }
      m_InitFlag = OFF;
      //      System.out.println("Computing...");
    }
    // init done.

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      if (m_BlendMethod == B_ENTROPY) {
  generateRandomClassColomns();
      }
      m_Cache = new KStarCache[m_NumAttributes];
      for (int i=0; i<m_NumAttributes;i++) {
  m_Cache[i] = new KStarCache();
      }
      m_InitFlag = OFF;
      //      System.out.println("Computing...");
    }
    // init done.

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Related Classes of weka.classifiers.lazy.kstar.KStarCache

weka.classifiers.lazy.KStar

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