public static double[] getClassDistribution(Node node) {
        List<ScoreDistribution> scoreDistributions = node.getScoreDistributions();

        double[] classDistribution = null;

        if (!scoreDistributions.isEmpty()) {
            classDistribution = new double[scoreDistributions.size()];

            for (int i = 0; i < scoreDistributions.size(); i++) {
                classDistribution[i] = scoreDistributions.get(i).getConfidence();
            }
        }

        return classDistribution;
    }
public static double[] getClassDistribution(Node node) {
        List<ScoreDistribution> scoreDistributions = node.getScoreDistributions();

        double[] classDistribution = null;

        if (!scoreDistributions.isEmpty()) {
            classDistribution = new double[scoreDistributions.size()];

            for (int i = 0; i < scoreDistributions.size(); i++) {
                classDistribution[i] = scoreDistributions.get(i).getConfidence();
            }
        }

        return classDistribution;
    }
public static double [ ] getClassDistribution ( Node node ) { List < ScoreDistribution > scoreDistributions = node . getScoreDistributions ( ) ; double [ ] classDistribution = null ; if ( ! scoreDistributions . isEmpty ( ) ) { classDistribution = new double [ scoreDistributions . size ( ) ] ; for ( int i = 0 ; i < scoreDistributions . size ( ) ; i ++ ) { classDistribution [ i ] = scoreDistributions . get ( i ) . getConfidence ( ) ; } } return classDistribution ; }
Retrieves the class distribution for the given node.
<p/>
We represent this in PMML as the confidence of a list of {@link org.dmg.pmml.ScoreDistribution} elements.

@param node The {@link org.dmg.pmml.Node PMML node} for which to retrieve the class distribution.
@return A array with the class distribution for the given node.
Retrieves the class distribution for the given node . <p / > We represent this in PMML as the confidence of a list of { @link org . dmg . pmml . ScoreDistribution } elements .