potentialfactoryselect.java

是实现关系型贝叶斯网络一中机器学习算法

package rmn;

public class PotentialFactorySelect extends PotentialFactory {

  public PotentialFactorySelect(double[][] weights)
  {
    super();
    m_weights = new Matrix2(weights);
  }

  public PotentialFactorySelect()
  {
    super();
    m_weights = new Matrix2(2, 2);

    ((Matrix2) m_weights).m_matrix[0][0] = 1;
    ((Matrix2) m_weights).m_matrix[0][1] = 0;
    ((Matrix2) m_weights).m_matrix[1][0] = 0;
    ((Matrix2) m_weights).m_matrix[1][1] = 1;
  }

  public Potential newInstance()
  {
    m_nPots++;
    return new PotentialSelect(this);
  }

  public boolean hasVariableArity()
  {
    return true;
  }

  public void incTrueCounts(int[] pos)
  {
    // not needed for fix-value potentials ?
    // move this elsewhere
  }

  public void incInfCounts(int[] pos)
  {
    // not needed for fix-value potentials ?
    // move this elsewhere
  }


}