Example usage for org.apache.commons.math3.analysis.function Log10 Log10

Introduction

In this page you can find the example usage for org.apache.commons.math3.analysis.function Log10 Log10.

Prototype

Log10

Source Link

Usage

From source file:calculators.Calculator.java

/**
 * Calculates the pvalue./*from   w w w.  j av  a  2  s  .  c om*/
 *
 * @param control the control group intensities
 * @param target the target group intensities
 * @return
 */
private Double calculatePvalue(final double[] control, final double[] target) {
    TTest t_test = new TTest();
    Log10 logTen = new Log10();
    return -logTen.value(t_test.tTest(target, control));
}

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From source file:org.grouplens.samantha.modeler.featurizer.LogarithmicExtractor.java

public Map<String, List<Feature>> extract(JsonNode entity, boolean update, IndexSpace indexSpace) {
    Map<String, List<Feature>> feaMap = new HashMap<>();
    if (entity.has(attrName)) {
        List<Feature> feaList = new ArrayList<>();
        double val = entity.get(attrName).asDouble();
        UnivariateFunction log10 = new Log10();
        FeatureExtractorUtilities.getOrSetIndexSpaceToFeaturize(feaList, update, indexSpace, indexName,
                attrName, log10.value(val + 1.0));
        feaMap.put(feaName, feaList);//w  w  w  .java 2  s  .  c o  m
    }
    return feaMap;
}

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From source file:org.grouplens.samantha.modeler.featurizer.SelfPlusOneRatioExtractor.java

public Map<String, List<Feature>> extract(JsonNode entity, boolean update, IndexSpace indexSpace) {
    Map<String, List<Feature>> feaMap = new HashMap<>();
    if (entity.has(attrName)) {
        SelfPlusOneRatioFunction ratio = new SelfPlusOneRatioFunction();
        List<Feature> feaList = new ArrayList<>();
        double val = entity.get(attrName).asDouble();
        if (!sparse || val != 0.0) {
            if (log) {
                Log10 log10 = new Log10();
                val = log10.value(val + 1.0);
            }//from  ww w.j a  v  a  2 s .com
            FeatureExtractorUtilities.getOrSetIndexSpaceToFeaturize(feaList, update, indexSpace, indexName,
                    attrName, ratio.value(val));
            feaMap.put(feaName, feaList);
        }
    }
    return feaMap;
}

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