EDeepLearningDefectDetectionMetrics::GetRecall
Recall for the current threshold.
It is the proportion of defective instances that were correctly identified as such. It is also called the true positive rate.
Namespace: Euresys::Open_eVision::EasyDeepLearning
[C++]
float GetRecall(
int index
) const
float GetRecall(
) const
Parameters
index
Index for the precision/recall curve point or -1 to use the index corresponding to the current EDeepLearningDefectDetectionMetrics::ClassificationThreshold.
EDeepLearningDefectDetectionMetrics.GetRecall
Recall for the current threshold.
It is the proportion of defective instances that were correctly identified as such. It is also called the true positive rate.
Namespace: Euresys.Open_eVision.EasyDeepLearning
[C#]
float GetRecall(
int index
)
float GetRecall(
)
Parameters
index
Index for the precision/recall curve point or -1 to use the index corresponding to the current EDeepLearningDefectDetectionMetrics.ClassificationThreshold.
EDeepLearningDefectDetectionMetrics.GetRecall
Recall for the current threshold.
It is the proportion of defective instances that were correctly identified as such. It is also called the true positive rate.
Module: open_evision.EasyDeepLearning
[Python]
GetRecall(
index: int
) -> float
GetRecall() -> float
Parameters
index
Index for the precision/recall curve point or -1 to use the index corresponding to the current EDeepLearningDefectDetectionMetrics.ClassificationThreshold.