Adjusts per-feature-measure for computed `result`
TODO: overlaps in what it does heavily with
CombinedSensitivityAnalyzer, thus this one might make use of
CombinedSensitivityAnalyzer yoh thinks, and here
base_sensitivities doesn't sound appropriate.
MH: There is indeed some overlap, but also significant differences.
This one operates on a single sensana and combines over second
axis, CombinedFeaturewiseDatasetMeasure uses first axis.
Additionally, 'Sensitivity' base class is
FeaturewiseDatasetMeasures which would have to be changed to
CombinedFeaturewiseDatasetMeasure to deal with stuff like
SMLRWeights that return multiple sensitivity values by default.
Not sure if unification of both (and/or removal of functionality
here does not lead to an overall more complicated situation,
without any real gain -- after all this one works ;-)
- Overrides:
DatasetMeasure._postcall
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