List of transProb() Examples

Examples of transProb()

weka.classifiers.lazy.kstar.KStarNominalAttribute.transProb()
Calculates the probability of the indexed nominal attribute of the test instance transforming into the indexed nominal attribute of the training instance. @return the value of the transformation probability.
weka.classifiers.lazy.kstar.KStarNumericAttribute.transProb()
Calculates the transformation probability of the attribute indexed "m_AttrIndex" in test instance "m_Test" to the same attribute in the train instance "m_Train". @return the probability value

Examples of weka.classifiers.lazy.kstar.KStarNominalAttribute.transProb()

      case Attribute.NOMINAL:
  ksNominalAttr = new KStarNominalAttribute(first, second, col, m_Train, 
              m_RandClassCols, 
              m_Cache[col]);
  ksNominalAttr.setOptions(m_MissingMode, m_BlendMethod, m_GlobalBlend);
  transProb = ksNominalAttr.transProb();
  ksNominalAttr = null;
  break;


      case Attribute.NUMERIC:
  ksNumericAttr = new KStarNumericAttribute(first, second, col,

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Examples of weka.classifiers.lazy.kstar.KStarNominalAttribute.transProb()

      case Attribute.NOMINAL:
  ksNominalAttr = new KStarNominalAttribute(first, second, col, m_Train, 
              m_RandClassCols, 
              m_Cache[col]);
  ksNominalAttr.setOptions(m_MissingMode, m_BlendMethod, m_GlobalBlend);
  transProb = ksNominalAttr.transProb();
  ksNominalAttr = null;
  break;


      case Attribute.NUMERIC:
  ksNumericAttr = new KStarNumericAttribute(first, second, col,

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Examples of weka.classifiers.lazy.kstar.KStarNominalAttribute.transProb()

      case Attribute.NOMINAL:
  ksNominalAttr = new KStarNominalAttribute(first, second, col, m_Train, 
              m_RandClassCols, 
              m_Cache[col]);
  ksNominalAttr.setOptions(m_MissingMode, m_BlendMethod, m_GlobalBlend);
  transProb = ksNominalAttr.transProb();
  ksNominalAttr = null;
  break;


      case Attribute.NUMERIC:
  ksNumericAttr = new KStarNumericAttribute(first, second, col,

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Examples of weka.classifiers.lazy.kstar.KStarNumericAttribute.transProb()

      case Attribute.NUMERIC:
  ksNumericAttr = new KStarNumericAttribute(first, second, col, 
              m_Train, m_RandClassCols, 
              m_Cache[col]);
  ksNumericAttr.setOptions(m_MissingMode, m_BlendMethod, m_GlobalBlend);
  transProb = ksNumericAttr.transProb();
  ksNumericAttr = null;
  break;
      }
    return transProb;
  }

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Examples of weka.classifiers.lazy.kstar.KStarNumericAttribute.transProb()

      case Attribute.NUMERIC:
  ksNumericAttr = new KStarNumericAttribute(first, second, col, 
              m_Train, m_RandClassCols, 
              m_Cache[col]);
  ksNumericAttr.setOptions(m_MissingMode, m_BlendMethod, m_GlobalBlend);
  transProb = ksNumericAttr.transProb();
  ksNumericAttr = null;
  break;
      }
    return transProb;
  }

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Examples of weka.classifiers.lazy.kstar.KStarNumericAttribute.transProb()

      case Attribute.NUMERIC:
  ksNumericAttr = new KStarNumericAttribute(first, second, col, 
              m_Train, m_RandClassCols, 
              m_Cache[col]);
  ksNumericAttr.setOptions(m_MissingMode, m_BlendMethod, m_GlobalBlend);
  transProb = ksNumericAttr.transProb();
  ksNumericAttr = null;
  break;
      }
    return transProb;
  }

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