Class PrecisionAsLoss
- java.lang.Object
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- ai.libs.jaicore.ml.core.evaluation.measure.singlelabel.PrecisionAsLoss
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Constructor Summary
Constructors Constructor Description PrecisionAsLoss(int positiveClass)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description java.lang.DoublecalculateAvgMeasure(java.util.List<java.lang.Double> actual, java.util.List<java.lang.Double> expected)Computes the measure for lists of input actual and the expected outcome expected and aggregates the measured values with the mean, as this is the most frequently used aggregate function.java.lang.DoublecalculateMeasure(java.lang.Double actual, java.lang.Double expected)Computes the measure for a measured input actual and the expected outcome expected.java.util.List<java.lang.Double>calculateMeasure(java.util.List<java.lang.Double> actual, java.util.List<java.lang.Double> expected)Computes the measure for a lists of input actual and the expected outcome expected.java.lang.DoublecalculateMeasure(java.util.List<java.lang.Double> actual, java.util.List<java.lang.Double> expected, ai.libs.jaicore.basic.aggregate.IAggregateFunction<java.lang.Double> aggregateFunction)Computes the measure for lists of input actual and the expected outcome expected and aggregates the measured values with the given aggregation.
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Method Detail
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calculateMeasure
public java.lang.Double calculateMeasure(java.lang.Double actual, java.lang.Double expected)Description copied from interface:IMeasureComputes the measure for a measured input actual and the expected outcome expected.- Specified by:
calculateMeasurein interfaceIMeasure<java.lang.Double,java.lang.Double>- Parameters:
actual- The actually available values.expected- The expected values to compare the actual values with.- Returns:
- The return value of the measure.
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calculateMeasure
public java.util.List<java.lang.Double> calculateMeasure(java.util.List<java.lang.Double> actual, java.util.List<java.lang.Double> expected)Description copied from interface:IMeasureComputes the measure for a lists of input actual and the expected outcome expected.- Specified by:
calculateMeasurein interfaceIMeasure<java.lang.Double,java.lang.Double>- Parameters:
actual- The list of actually available values.expected- The list of expected values to compare the actual values with.- Returns:
- The list of return values of the measure.
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calculateMeasure
public java.lang.Double calculateMeasure(java.util.List<java.lang.Double> actual, java.util.List<java.lang.Double> expected, ai.libs.jaicore.basic.aggregate.IAggregateFunction<java.lang.Double> aggregateFunction)Description copied from interface:IMeasureComputes the measure for lists of input actual and the expected outcome expected and aggregates the measured values with the given aggregation.- Specified by:
calculateMeasurein interfaceIMeasure<java.lang.Double,java.lang.Double>- Parameters:
actual- The list of actually available values.expected- The list of expected values to compare the actual values with.aggregateFunction- The aggregate function to be used to aggregate all the measurements.- Returns:
- The aggregated return value of the measure.
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calculateAvgMeasure
public java.lang.Double calculateAvgMeasure(java.util.List<java.lang.Double> actual, java.util.List<java.lang.Double> expected)Description copied from interface:IMeasureComputes the measure for lists of input actual and the expected outcome expected and aggregates the measured values with the mean, as this is the most frequently used aggregate function.- Specified by:
calculateAvgMeasurein interfaceIMeasure<java.lang.Double,java.lang.Double>- Parameters:
actual- The list of actually available values.expected- The list of expected values to compare the actual values with.- Returns:
- The mean of return values as output by the instance-wise measure.
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