Base class for all Polimago Test Results. More...
Inherits PolimagoFactoryCreatedObject.
Inherited by ClassificationTestResult, and RegressionTestResult.
Properties | |
| 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). More... | |
| feature_resolution = property | |
| int: Feature resolution value with which the classifier was trained. More... | |
| num_examples = property | |
| int: Number of examples that contributed to this test result. More... | |
| total_mean_square_error = property | |
| float: Total mean square error of the predictor over all examples and all coordinates. More... | |
 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. More... | |
| feature_window_extent = property | |
| cvb.Rect: The feature window extent that has been used during classifier training. More... | |
| file_name = property | |
| str: Name of the file the object has been loaded from (or empty string if the object was not loaded). More... | |
| image_planes = property | |
| int: Intercept weight that has been used for generating this object. More... | |
| interpolation = property | |
| int: Interpolation setting used for generating this object (see cvb.polimago.InterpolationType). More... | |
| lambda_ = property | |
| float: Regularization value that has been used for generating this object. More... | |
| offset = property | |
| float: Intercept weight that has been used for generating this object. More... | |
| preprocessing = property | |
| str: Preprocessing code with which this object was generated. More... | |
| 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... | |
Detailed Description
Base class for all Polimago Test Results.
Property Documentation
◆ example_mean_square_error
|
static |
List[float]: Mean square error for each individual example (the index runs over all the examples that contributed to this test result).
◆ feature_resolution
|
static |
int: Feature resolution value with which the classifier was trained.
◆ num_examples
|
static |
int: Number of examples that contributed to this test result.
◆ total_mean_square_error
|
static |
float: Total mean square error of the predictor over all examples and all coordinates.
