Examples of addMatrixData()


Examples of edu.gmu.seor.prognos.unbbayesplugin.cps.datastructure.EDBUnit.addMatrixData()

      EDBUnit r = null;
       //cpd.print("T:");
      ret = new EDBUnit(node.getName());
      r = ret.create("MU"); r.setMatrix( cpd.get("MEAN").getMatrix());
      r = ret.create("SIGMA"); r.setMatrix( cpd.get("COV").getMatrix());
      r = ret.create("GMMPRIOR"); r.addMatrixData( 1 );

      if( parentNext == null )
        return ret;
     
      //continuous parents only,
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Examples of edu.gmu.seor.prognos.unbbayesplugin.cps.datastructure.EDBUnit.addMatrixData()

      else{
       
        EDBUnit gm_bel = node.get("GM_BEL");
        if (gm_bel == null ){
          gm_bel = node.create("GM_BEL");
          EDBUnit prior = gm_bel.create("GMMPRIOR"); prior.addMatrixData(0);
          EDBUnit mu = gm_bel.create("MU"); mu.addMatrixData(0);
          EDBUnit sigma = gm_bel.create("SIGMA"); sigma.addMatrixData(0);
        }
        
        Double sum = 0.0;
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Examples of edu.gmu.seor.prognos.unbbayesplugin.cps.datastructure.EDBUnit.addMatrixData()

       
        EDBUnit gm_bel = node.get("GM_BEL");
        if (gm_bel == null ){
          gm_bel = node.create("GM_BEL");
          EDBUnit prior = gm_bel.create("GMMPRIOR"); prior.addMatrixData(0);
          EDBUnit mu = gm_bel.create("MU"); mu.addMatrixData(0);
          EDBUnit sigma = gm_bel.create("SIGMA"); sigma.addMatrixData(0);
        }
        
        Double sum = 0.0;
        int sizePi = pi.get("GMMPRIOR").getMatrix().getColumnDimension();
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Examples of edu.gmu.seor.prognos.unbbayesplugin.cps.datastructure.EDBUnit.addMatrixData()

        EDBUnit gm_bel = node.get("GM_BEL");
        if (gm_bel == null ){
          gm_bel = node.create("GM_BEL");
          EDBUnit prior = gm_bel.create("GMMPRIOR"); prior.addMatrixData(0);
          EDBUnit mu = gm_bel.create("MU"); mu.addMatrixData(0);
          EDBUnit sigma = gm_bel.create("SIGMA"); sigma.addMatrixData(0);
        }
        
        Double sum = 0.0;
        int sizePi = pi.get("GMMPRIOR").getMatrix().getColumnDimension();
        int sizeLambda = lambda.get("GMMPRIOR").getMatrix().getColumnDimension();
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