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

weka.core.matrix.DoubleVector.map()
Applies a method to the vector @param className the class name @param method the method

    if( Math.abs(x) > 10 ) return x; // pratical consideration; modify later
    DoubleVector d = 
    Maths.dnormLog( x, mixingDistribution.getPointValues(), 1 );
    
    d.minusEquals( d.max() );
    d = d.map("java.lang.Math", "exp");
    d.timesEquals( mixingDistribution.getFunctionValues() );
    return mixingDistribution.getPointValues().innerProduct( d ) / d.sum();
  }


  /**

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    DoubleVector values = mixingDistribution.getFunctionValues(); 


    DoubleVector d = Maths.dnormLog( x, points, 1 );
    d.minusEquals( d.max() );


    d = (DoubleVector) d.map("java.lang.Math", "exp");
    d.timesEquals( values );  


    return ((DoubleVector) points.times(2*x).minusEquals(x*x))
    .innerProduct( d ) / d.sum();
  }

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    DoubleVector values = mixingDistribution.getFunctionValues(); 
    DoubleVector mean = points.sqrt();
  
    DoubleVector d = Maths.dchisqLog( x, points );
    d.minusEquals( d.max() );
    d = d.map("java.lang.Math", "exp").timesEquals( values );
    double atilde = mean.innerProduct( d ) / d.sum();
    return atilde * atilde;
  }


  /**

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    DoubleVector d2 = Maths.dnormLog( -x, mean, 1 );
    d2.minusEquals( d1max );


    d1 = d1.map("java.lang.Math", "exp");
    d1.timesEquals( values );  
    d2 = d2.map("java.lang.Math", "exp");
    d2.timesEquals( values );  


    return ( ( points.minus(x/2)).innerProduct( d1 ) - 
       ( points.plus(x/2)).innerProduct( d2 ) ) 
    / (d1.sum() + d2.sum());

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