Package mvpa :: Package misc :: Module errorfx

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# Module errorfx

source code

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'

Classes | [hide private]

| _ErrorFx Common error function interface, computing the difference between some target and some predicted values.
| RMSErrorFx Computes the root mean squared error of some target and some predicted values.
| MeanMismatchErrorFx Computes the percentage of mismatches between some target and some predicted values.
| AUCErrorFx Computes the area under the ROC for the given the target and predicted to make the prediction.
| CorrErrorFx Computes the correlation between the target and the predicted values. Return 1-CC
| CorrErrorPFx Computes p-value of correlation between the target and the predicted values.
| RelativeRMSErrorFx Ratio between RMSE and root mean power of target output.
| Variance1SVFx Ratio of variance described by the first singular value component.

Functions | [hide private]

meanPowerFx(data) Returns mean power | source code

rootMeanPowerFx(data) Returns root mean power | source code

Imports: N, trapz, externals, pearsonr

Function Details | [hide private]

### meanPowerFx(data)

source code

Returns mean power

Similar to var but without demeaning

### rootMeanPowerFx(data)

source code

Returns root mean power

to be comparable against RMSE