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Mapper to project data into standardized values (z-scores).
After the mapper has been instantiated, it has to be train first.
Since it tries to reuse ProjectionMapper, invariant features will simply be assigned a std == 1, which would be equivalent to not standardizing them at all. This is similar to not touching them at all, so similar to what zscore function currently does
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__doc__ = enhancedDocString('ZScoreMapper', locals(), Projecti
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__doc__
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