Classification test result object. More...
Inherits TestResultBase.
Properties | |
classes = property | |
List[str]: Class labels available in this test result. | |
error_rate = property | |
float: Total number of errors divided by the total number of examples. | |
example_confidence_distributions = property | |
List[List[float]]: Confidence distributions for each example. | |
example_confidences = property | |
List[float]: Confidences in the classification decision for each sample. | |
num_classes = property | |
int: Number of classes in the sample database on which the test result was calculated. | |
num_errors = property | |
int: Total number of errors made during classification testing. | |
output_dimension = property | |
int: For tests with usage OneVersusAll the output dimension will equal the number of classes in the training database. More... | |
predicted_class_indices = property | |
List[int]: Prediction results for all indices. | |
true_class_indices = property | |
List[int]: The real class index for each example. | |
Properties inherited from TestResultBase | |
example_mean_square_error = property | |
List[float]: Mean square error for each individual example (the index runs over all the examples that contributed to this test result). | |
feature_resolution = property | |
int: Feature resolution value with which the classifier was trained. | |
num_examples = property | |
int: Number of examples that contributed to this test result. | |
total_mean_square_error = property | |
float: Total mean square error of the predictor over all examples and all coordinates. | |
Properties inherited from PolimagoFactoryCreatedObject | |
correction = property | |
cvb.Point2D: Correction factors in X and Y direction required to rescale the input images for projection onto the retina. | |
feature_window_extent = property | |
cvb.Rect: The feature window extent that has been used during classifier training. | |
file_name = property | |
str: Name of the file the object has been loaded from (or empty string if the object was not loaded). | |
image_planes = property | |
int: Intercept weight that has been used for generating this object. | |
interpolation = property | |
int: Interpolation setting used for generating this object (see cvb.polimago.InterpolationType). | |
lambda_ = property | |
float: Regularization value that has been used for generating this object. | |
offset = property | |
float: Intercept weight that has been used for generating this object. | |
preprocessing = property | |
str: Preprocessing code with which this object was generated. | |
retina_size = property | |
cvb.Size2D: Size of the 'Retina' in pixels. More... | |
Additional Inherited Members | |
Public Member Functions inherited from PolimagoFactoryCreatedObject | |
None | save (self, str file_name) |
Save this object into a file. More... | |
Classification test result object.
Load a saved classification test result from a file.
file_name : str Name of the file to be loaded.
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static |
int: For tests with usage OneVersusAll the output dimension will equal the number of classes in the training database.
For usage ClassifyOneVersusOne the output dimension is (NumClasses - 1) * (NumClasses) / 2.