Examples of sum2()


Examples of weka.core.matrix.DoubleVector.sum2()

    X.positiveDiagonal( Y, pvt );
   
    PaceMatrix sol = (PaceMatrix) Y.clone();
    X.rsolve( sol, pvt, pvt.size() );
    DoubleVector r = Y.getColumn( pvt.size(), n-1, 0);
    double sde = Math.sqrt(r.sum2() / r.size());
   
    DoubleVector aHat = Y.getColumn( 0, pvt.size()-1, 0).times( 1./sde );

    DoubleVector aTilde = null;
    switch( paceEstimator) {
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Examples of weka.core.matrix.DoubleVector.sum2()

    X.positiveDiagonal( Y, pvt );
   
    PaceMatrix sol = (PaceMatrix) Y.clone();
    X.rsolve( sol, pvt, pvt.size() );
    DoubleVector r = Y.getColumn( pvt.size(), n-1, 0);
    double sde = Math.sqrt(r.sum2() / r.size());
   
    DoubleVector aHat = Y.getColumn( 0, pvt.size()-1, 0).times( 1./sde );

    DoubleVector aTilde = null;
    switch( paceEstimator) {
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Examples of weka.core.matrix.DoubleVector.sum2()

    d.fit( a, NNMMethod );
    System.out.println( "The estimated mixing distribution is:\n" + d );
 
    DoubleVector pred = d.nestedEstimate( a.rev() ).rev();
    System.out.println( "\nThe Nested Estimate = \n" + pred );
    System.out.println( "Quadratic loss = " + pred.sum2( means ) );

    pred = d.subsetEstimate( a );
    System.out.println( "\nThe Subset Estimate = \n" + pred );
    System.out.println( "Quadratic loss = " + pred.sum2( means ) );
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Examples of weka.core.matrix.DoubleVector.sum2()

    System.out.println( "\nThe Nested Estimate = \n" + pred );
    System.out.println( "Quadratic loss = " + pred.sum2( means ) );

    pred = d.subsetEstimate( a );
    System.out.println( "\nThe Subset Estimate = \n" + pred );
    System.out.println( "Quadratic loss = " + pred.sum2( means ) );

    pred = d.empiricalBayesEstimate( a );
    System.out.println( "\nThe Empirical Bayes Estimate = \n" + pred );
    System.out.println( "Quadratic loss = " + pred.sum2( means ) );
 
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Examples of weka.core.matrix.DoubleVector.sum2()

    System.out.println( "\nThe Subset Estimate = \n" + pred );
    System.out.println( "Quadratic loss = " + pred.sum2( means ) );

    pred = d.empiricalBayesEstimate( a );
    System.out.println( "\nThe Empirical Bayes Estimate = \n" + pred );
    System.out.println( "Quadratic loss = " + pred.sum2( means ) );
 
  }
}
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Examples of weka.core.matrix.DoubleVector.sum2()

    System.out.println("=============================================" +
           "==============");
    System.out.println("             *** Pace estimation *** \n");
    DoubleVector r = Y.getColumn( pvt.size(), n-1, 0);
    double sde = Math.sqrt(r.sum2() / r.size());
 
    System.out.println( "Estimated standard deviation = " + sde );

    DoubleVector aHat = Y.getColumn( 0, pvt.size()-1, 0).times( 1./sde );
    System.out.println("\naHat = \n" + aHat );
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