Example usage for weka.core.stats NumericStats getStats

Introduction

In this page you can find the example usage for weka.core.stats NumericStats getStats.

Prototype

public double[] getStats() 

Source Link

Document

Return the array of statistics

Usage

From source file:distributed.core.DistributedUtils.java

License:Open Source License

public static NumericStats getNumericAttributeStatsSparse(Instances denormalized, int attIndex) {
    NumericStats ns = new NumericStats(denormalized.attribute(attIndex).name());

    for (int j = 0; j < denormalized.numInstances(); j++) {
        double value = denormalized.instance(j).value(attIndex);

        if (Utils.isMissingValue(value) || value == 0) {
            ns.getStats()[ArffSummaryNumericMetric.MISSING.ordinal()]++;
        } else {//  w ww.j ava 2 s .  c  o m
            ns.getStats()[ArffSummaryNumericMetric.COUNT.ordinal()]++;
            ns.getStats()[ArffSummaryNumericMetric.SUM.ordinal()] += value;
            ns.getStats()[ArffSummaryNumericMetric.SUMSQ.ordinal()] += value * value;
            if (Double.isNaN(ns.getStats()[ArffSummaryNumericMetric.MIN.ordinal()])) {
                ns.getStats()[ArffSummaryNumericMetric.MIN
                        .ordinal()] = ns.getStats()[ArffSummaryNumericMetric.MAX.ordinal()] = value;
            } else if (value < ns.getStats()[ArffSummaryNumericMetric.MIN.ordinal()]) {
                ns.getStats()[ArffSummaryNumericMetric.MIN.ordinal()] = value;
            } else if (value > ns.getStats()[ArffSummaryNumericMetric.MAX.ordinal()]) {
                ns.getStats()[ArffSummaryNumericMetric.MAX.ordinal()] = value;
            }
        }
    }

    ns.computeDerived();

    return ns;
}

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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();//  ww w.ja  v a  2 s  . c  o  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;
}

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