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de.dagere.peass.config.StatisticsConfig Maven / Gradle / Ivy
package de.dagere.peass.config;
import java.io.Serializable;
import de.dagere.peass.config.parameters.StatisticsConfigMixin;
public class StatisticsConfig implements Serializable {
private static final long serialVersionUID = -6193031432004031500L;
/**
* Type 1 error is the false positive rate (=1-significance) for regular two-sided t-test
*/
private double type1error = StatisticsConfigMixin.PEASS_DEFAULT_TYPE_1_ERROR;
/**
* Type 2 error is the false negative rate for agnostic t-test
*/
private double type2error = StatisticsConfigMixin.PEASS_DEFAULT_TYPE_2_ERROR;
private double outlierFactor = DEFAULT_OUTLIER_FACTOR;
private StatisticalTests statisticTest = StatisticalTests.T_TEST;
public static final double DEFAULT_OUTLIER_FACTOR = 3.29; // Does not remove 99% of all values in gaussian distribution
public StatisticsConfig() {
}
public StatisticsConfig(final StatisticsConfig other) {
this.type1error = other.type1error;
this.type2error = other.type2error;
this.outlierFactor = other.outlierFactor;
this.statisticTest = other.statisticTest;
}
public double getType1error() {
return type1error;
}
public void setType1error(final double type1error) {
this.type1error = type1error;
if (type1error <= 0.0 || type1error >= 1.0) {
throw new RuntimeException("Configured illegal type1error: " + type1error);
}
}
public double getType2error() {
return type2error;
}
public void setType2error(final double type2error) {
this.type2error = type2error;
if (type2error <= 0.0 || type2error >= 1.0) {
throw new RuntimeException("Configured illegal type1error: " + type1error);
}
}
public double getOutlierFactor() {
return outlierFactor;
}
public void setOutlierFactor(final double outlierFactor) {
this.outlierFactor = outlierFactor;
}
public StatisticalTests getStatisticTest() {
return statisticTest;
}
public void setStatisticTest(final StatisticalTests statisticTest) {
this.statisticTest = statisticTest;
}
}
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