Error functions helpers.
PyMVPA can use arbitrary function which takes 2 arguments: predictions
and targets and spits out a scalar value. Functions below are for the
convinience, and they confirm the agreement that 'smaller' is 'better'
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_ErrorFx
Common error function interface, computing the difference between
some target and some predicted values.
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RMSErrorFx
Computes the root mean squared error of some target and some
predicted values.
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MeanMismatchErrorFx
Computes the percentage of mismatches between some target and some
predicted values.
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AUCErrorFx
Computes the area under the ROC for the given the
target and predicted to make the prediction.
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CorrErrorFx
Computes the correlation between the target and the predicted
values. Return 1-CC
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CorrErrorPFx
Computes p-value of correlation between the target and the predicted
values.
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RelativeRMSErrorFx
Ratio between RMSE and root mean power of target output.
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Variance1SVFx
Ratio of variance described by the first singular value component.
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