Example usage for weka.core.stats NominalStats setNumMissing

Introduction

In this page you can find the example usage for weka.core.stats NominalStats setNumMissing.

Prototype

public void setNumMissing(double missing) 

Source Link

Document

Set the number of missing values for this attribute

Usage

From source file:distributed.core.DistributedUtils.java

License:Open Source License

public static Instances makeHeaderWithSummaryAtts(Instances denormalized, boolean treatZerosAsMissing) {
    Instances header = new Instances(denormalized, 0);

    for (int i = 0; i < denormalized.numAttributes(); i++) {
        AttributeStats stats = denormalized.attributeStats(i);
        if (denormalized.attribute(i).isNumeric()) {
            NumericStats ns = new NumericStats(denormalized.attribute(i).name());
            if (!treatZerosAsMissing) {
                ns.getStats()[ArffSummaryNumericMetric.MIN.ordinal()] = stats.numericStats.min;
                ns.getStats()[ArffSummaryNumericMetric.MAX.ordinal()] = stats.numericStats.max;
                ns.getStats()[ArffSummaryNumericMetric.COUNT.ordinal()] = stats.numericStats.count;
                ns.getStats()[ArffSummaryNumericMetric.SUM.ordinal()] = stats.numericStats.sum;
                ns.getStats()[ArffSummaryNumericMetric.SUMSQ.ordinal()] = stats.numericStats.sumSq;
                ns.getStats()[ArffSummaryNumericMetric.MISSING.ordinal()] = stats.missingCount;

                ns.computeDerived();/*from   w w  w .  j  a v  a  2s  . co m*/
            } else {
                ns = getNumericAttributeStatsSparse(denormalized, i);
            }

            Attribute newAtt = ns.makeAttribute();
            header.insertAttributeAt(newAtt, header.numAttributes());
        } else if (denormalized.attribute(i).isNominal()) {
            NominalStats nom = new NominalStats(denormalized.attribute(i).name());
            nom.setNumMissing(stats.missingCount);

            double[] labelFreqs = stats.nominalWeights;
            for (int j = 0; j < denormalized.attribute(i).numValues(); j++) {
                nom.add(denormalized.attribute(i).value(j), labelFreqs[j]);
            }

            Attribute newAtt = nom.makeAttribute();
            header.insertAttributeAt(newAtt, header.numAttributes());
        }
    }

    return header;
}

---