EDeepLearningDefectDetectionMetrics::GetNumberOfClassifiers
Number of different possible classifiers.
Each classifier is obtained by choosing a different classification threshold (see EUnsupervisedSegmenter::ClassificationThreshold and corresponds to a point in the ROC curve (see EDeepLearningDefectDetectionMetrics::GetROCPoint).
Namespace: Euresys::Open_eVision::EasyDeepLearning
[C++]
int GetNumberOfClassifiers() const
Remarks
The number of classifiers is equal to 2 plus the number of results added to the metrics that have a unique classification score (i.e. different from the classification score of all the other results): each unique classification score corresponds to a classification threshold.
EDeepLearningDefectDetectionMetrics.NumberOfClassifiers
Number of different possible classifiers.
Each classifier is obtained by choosing a different classification threshold (see EUnsupervisedSegmenter::ClassificationThreshold and corresponds to a point in the ROC curve (see EDeepLearningDefectDetectionMetrics::GetROCPoint).
Namespace: Euresys.Open_eVision.EasyDeepLearning
[C#]
int NumberOfClassifiers
{ get; }
Remarks
The number of classifiers is equal to 2 plus the number of results added to the metrics that have a unique classification score (i.e. different from the classification score of all the other results): each unique classification score corresponds to a classification threshold.