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The :mod:`parsimony.functions.losses` module contains the loss functions used throughout the package. These represent mathematical functions and should thus have properties used by the corresponding algorithms. These properties are defined in :mod:`parsimony.functions.properties`.
Loss functions should be stateless. Loss functions may be shared and copied and should therefore not hold anything that cannot be recomputed the next time it is called.
Created on Mon Apr 22 10:54:29 2013
Copyright (c) 2013-2014, CEA/DSV/I2BM/Neurospin. All rights reserved.
Author: Tommy Löfstedt, Vincent Guillemot, Edouard Duchesnay and Fouad Hadj-Selem
License: BSD 3-clause.
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LinearRegression The Linear regression loss function. |
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RidgeRegression The Ridge Regression function, i.e. |
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LogisticRegression The Logistic Regression loss function. |
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RidgeLogisticRegression The Logistic Regression loss function with a squared L2 penalty. |
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| LatentVariableVariance | |||
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LinearFunction A linear function. |
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__package__ = |
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