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Compute the transfer error of a (trained) classifier on a dataset.
The actual error value is computed using a customizable error function. Optionally the classifier can be trained by passing an additional training dataset to the __call__() method.
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Inherited from Inherited from Inherited from Inherited from |
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null_prob = StateVariable(enabled= True, doc= "Stores the prob
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samples_error = StateVariable(enabled= False, doc= "Per sample
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__doc__ = enhancedDocString('TransferError', locals(), Classif
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Inherited from |
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Parameters:
null_dist : instance of distribution estimator |
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Compute the transfer error for a certain test dataset. If Returns a scalar value of the transfer error.
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null_prob
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samples_error
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__doc__
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