EDeepLearningDefectDetectionMetrics::GetClassificationThreshold
EDeepLearningDefectDetectionMetrics::SetClassificationThreshold
Classification threshold.
By default, the classification threshold will be equal to the classification threshold of the last unsupervised segmenter used to produce the results that compose this metric.
Some metrics such as EDeepLearningDefectDetectionMetrics::GetROCPoint, EDeepLearningDefectDetectionMetrics::GetAccuracy or EDeepLearningDefectDetectionMetrics::GetConfusion
depends on the classification threshold. By default, these methods will returns the metric
corresponding to the classification threshold.
Namespace: Euresys::Open_eVision::EasyDeepLearning
[C++]
float GetClassificationThreshold() const
void SetClassificationThreshold(float threshold)
Remarks
Modifying the classification threshold in this class doesn't modify the classification threshold of the unsupervised segmenter.
EDeepLearningDefectDetectionMetrics.ClassificationThreshold
Classification threshold.
By default, the classification threshold will be equal to the classification threshold of the last unsupervised segmenter used to produce the results that compose this metric.
Some metrics such as EDeepLearningDefectDetectionMetrics.GetROCPoint, EDeepLearningDefectDetectionMetrics.GetAccuracy or EDeepLearningDefectDetectionMetrics.GetConfusion
depends on the classification threshold. By default, these methods will returns the metric
corresponding to the classification threshold.
Namespace: Euresys.Open_eVision.EasyDeepLearning
[C#]
float ClassificationThreshold
{ get; set; }
Remarks
Modifying the classification threshold in this class doesn't modify the classification threshold of the unsupervised segmenter.
EDeepLearningDefectDetectionMetrics.ClassificationThreshold
Classification threshold.
By default, the classification threshold will be equal to the classification threshold of the last unsupervised segmenter used to produce the results that compose this metric.
Some metrics such as EDeepLearningDefectDetectionMetrics.GetROCPoint, EDeepLearningDefectDetectionMetrics.GetAccuracy or EDeepLearningDefectDetectionMetrics.GetConfusion
depends on the classification threshold. By default, these methods will returns the metric
corresponding to the classification threshold.
Module: open_evision.EasyDeepLearning
[Python]
ClassificationThreshold: float
{get; set}
Remarks
Modifying the classification threshold in this class doesn't modify the classification threshold of the unsupervised segmenter.