Methods in net.sf.myra.datamining with parameters of type Unit |
java.lang.String |
UnitAveragingMode.average(Unit<?>[] values)
Returns a String which corresponds to the average values
of the specified units. |
int |
UnitAveragingMode.compare(Unit<?> u1,
Unit<?> u2)
|
int |
UnitAveragingMode.compare(Unit<?> u1,
Unit<?> u2)
|
int |
Unit.compareTo(Unit<V> o)
|
protected int |
UnitAveragingMode.compareTo(Unit<V> u1,
Unit<V> u2)
Compares the specified unit instances. |
protected int |
UnitAveragingMode.compareTo(Unit<V> u1,
Unit<V> u2)
Compares the specified unit instances. |
java.lang.String |
UnitAveragingMode.DoubleUnitAveragingMode.getAverage(Unit<java.lang.Double>[] values)
|
protected abstract java.lang.String |
UnitAveragingMode.getAverage(Unit<V>[] values)
Returns a String which corresponds to the average values
of the specified units. |
Methods in net.sf.myra.datamining.measure.hierarchical that return Unit |
Unit<?> |
WeightedPRCurveMeasure.evaluate(Dataset dataset,
Model model)
|
Unit<?> |
VarianceMeasure.evaluate(Dataset dataset,
Model model)
|
Unit<?> |
VarianceGainMeasure.evaluate(Dataset dataset,
Model model)
|
Unit<PRCurveMeasure.CurveArea> |
PRCurveMeasure.evaluate(Dataset dataset,
Model model)
|
Unit<java.lang.Double> |
PooledPRCurveMeasure.evaluate(Dataset dataset,
Model model)
|
Unit<?> |
LevelMeasure.evaluate(Dataset dataset,
Model model)
|
Unit<java.lang.Double> |
hFmeasureMeasure.evaluate(Dataset dataset,
Model model)
|
Unit<?> |
AveragedPRCurveMeasure.evaluate(Dataset dataset,
Model model)
|
Unit<java.lang.Double> |
WeightedPRCurveMeasure.evaluate(Dataset dataset,
ProbabilisticRuleModel model)
|
Unit<PRCurveMeasure.CurveArea> |
PRCurveMeasure.evaluate(Dataset dataset,
ProbabilisticRuleModel model)
|
Unit<java.lang.Double> |
PooledPRCurveMeasure.evaluate(Dataset dataset,
ProbabilisticRuleModel model)
|
Unit<java.lang.Double> |
AveragedPRCurveMeasure.evaluate(Dataset dataset,
ProbabilisticRuleModel model)
|