fitCoefficients(List) |   | 10% |   | 25% | 2 | 3 | 17 | 20 | 0 | 1 |
extrapolateCoefficients(int) |  | 0% |  | 0% | 3 | 3 | 9 | 9 | 1 | 1 |
importModel(PerformanceModel.ModelData) |  | 0% | | n/a | 1 | 1 | 8 | 8 | 1 | 1 |
exportModel() |  | 0% | | n/a | 1 | 1 | 1 | 1 | 1 | 1 |
needsRecalibration() |   | 72% |   | 50% | 2 | 4 | 1 | 6 | 0 | 1 |
predict(int, boolean) |   | 92% |   | 75% | 2 | 5 | 2 | 18 | 0 | 1 |
updateWithMeasurement(int, double, boolean) |   | 90% |   | 50% | 1 | 2 | 1 | 14 | 0 | 1 |
lambda$updateWithMeasurement$0(PerformanceModel.SizeRange) |  | 0% | | n/a | 1 | 1 | 1 | 1 | 1 | 1 |
getCacheEffectMultiplier(int) |   | 94% |   | 83% | 1 | 4 | 1 | 8 | 0 | 1 |
calculateConfidenceInterval(List, ModelCoefficients) |  | 100% |  | 100% | 0 | 2 | 0 | 12 | 0 | 1 |
calibrate(PerformanceModel.Measurement[]) |  | 100% |  | 100% | 0 | 2 | 0 | 13 | 0 | 1 |
initializeDefaultCoefficients() |  | 100% | | n/a | 0 | 1 | 0 | 6 | 0 | 1 |
updateConfidenceInterval(PerformanceModel.SizeRange, int, double, double) |  | 100% |  | 100% | 0 | 2 | 0 | 8 | 0 | 1 |
PerformanceModel(PlatformFactors) |  | 100% | | n/a | 0 | 1 | 0 | 9 | 0 | 1 |
lambda$calibrate$2(PerformanceModel.SizeRange, List) |  | 100% | | n/a | 0 | 1 | 0 | 5 | 0 | 1 |
lambda$calibrate$1(PerformanceModel.Measurement) |  | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
getAccuracy() |  | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |