perceptron.utils.distances¶
Provides classes to measure the distance between two images.
MeanSquaredDistance |
Calculates the mean squared error between two images. |
MeanAbsoluteDistance |
Calculates the mean absolute error between two images. |
Linfinity |
Calculates the L-infinity norm of the difference between two images. |
L0 |
Calculates the L0 norm of the difference between two images. |
MSE |
alias of perceptron.utils.distances.MeanSquaredDistance |
MAE |
alias of perceptron.utils.distances.MeanAbsoluteDistance |
Linf |
alias of perceptron.utils.distances.Linfinity |
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class
perceptron.utils.distances.Distance(reference=None, other=None, bounds=None, value=None)[source]¶ Base class for distances
This class should be subclassed when implementing new distances. Subclasses must implement _calculate.
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class
perceptron.utils.distances.MeanSquaredDistance(reference=None, other=None, bounds=None, value=None)[source]¶ Calculates the mean squared error between two images.
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class
perceptron.utils.distances.MeanAbsoluteDistance(reference=None, other=None, bounds=None, value=None)[source]¶ Calculates the mean absolute error between two images.
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class
perceptron.utils.distances.Linfinity(reference=None, other=None, bounds=None, value=None)[source]¶ Calculates the L-infinity norm of the difference between two images.
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class
perceptron.utils.distances.L0(reference=None, other=None, bounds=None, value=None)[source]¶ Calculates the L0 norm of the difference between two images.
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perceptron.utils.distances.MSE¶
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perceptron.utils.distances.MAE¶
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perceptron.utils.distances.Linf¶ alias of
perceptron.utils.distances.Linfinity