EClassificationMetrics Class

Collection of metrics used to evaluate the state of an EClassifier.
A metric is a value summarizing a collection of classification results (EClassificationResult). New results can be added to the object individually with EClassificationMetrics::AddResult or collectively with EClassificationMetrics::AddMetrics.
EClassificationMetrics contains the following metrics:
- the accuracy (see EClassificationMetrics::Accuracy)
- the error (see EClassificationMetrics::Error)

Namespace: Euresys::Open_eVision::EasyDeepLearning

Methods

Adds the other metrics to the current metrics of this object.
Adds the given result with the corresponding ground truth label to the metrics.
Whether the object can be used to get weighted, balanced, and label errors.
Constructs an EClassificationMetrics object.
The accuracy of the classifier.
The balanced accuracy.
The balanced error.
Confusion value of one label with another.
The confusion value of a label with another is the number of images belonging to this label that are classified as belonging to the other label.
The error of the classifier.
The accuracy of the classifier for a given label.
The error of the classifier for a given label.
The label weighted accuracy.
The label weighted error.
Indicates whether the object contains at least one classification result.
Loads a classification metric. The given ESerializer must have been created for reading.
Assignment operator
Saves a classification metric. The given ESerializer must have been created for writing.

EClassificationMetrics Class

Collection of metrics used to evaluate the state of an EClassifier.
A metric is a value summarizing a collection of classification results (EClassificationResult). New results can be added to the object individually with EClassificationMetrics::AddResult or collectively with EClassificationMetrics::AddMetrics.
EClassificationMetrics contains the following metrics:
- the accuracy (see EClassificationMetrics::Accuracy)
- the error (see EClassificationMetrics::Error)

Namespace: Euresys.Open_eVision.EasyDeepLearning

Properties

The accuracy of the classifier.
The balanced accuracy.
The balanced error.
The error of the classifier.

Methods

Adds the other metrics to the current metrics of this object.
Adds the given result with the corresponding ground truth label to the metrics.
Whether the object can be used to get weighted, balanced, and label errors.
Constructs an EClassificationMetrics object.
Confusion value of one label with another.
The confusion value of a label with another is the number of images belonging to this label that are classified as belonging to the other label.
The accuracy of the classifier for a given label.
The error of the classifier for a given label.
The label weighted accuracy.
The label weighted error.
Indicates whether the object contains at least one classification result.
Loads a classification metric. The given ESerializer must have been created for reading.
Assignment operator
Saves a classification metric. The given ESerializer must have been created for writing.