RegressionTestResult Properties

Correction factors in X and Y direction required to rescale the input images for projection onto the retina.

Mean square error for each individual example (the index runs over all the examples that contributed to this test result).

Feature resolution value with which the classifier was trained.

The feature window extent that has been used during classifier training.

Name of the file the object has been loaded from (or if the object was not loaded).

Native Manto classifier handle.

The plane count of the images that have been used for generating this classifier. Image on which this classifier is to be used will need to have the same plane count.

Interpolation setting used for generating this object.

Tests if the native handle has already been disposed.

Regularization value that has been used for generating this object.

Number of examples that contributed to this test result.

Intercept weight that has been used for generating this object.

Prediction results for example.

Preprocessing code with which this object was generated.

Dimension of the regression results.

Size of the "Retina" in paxels. The retina is the set of paxels onto which the input image is projected using the preprocessing code prior to application/training of the classifier.

Target values for each example.

Total mean square error of the predictor over all examples and all coordinates.