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Multivariate Pattern Analysis in Python |
Bases: mvpa.mappers.base.Mapper
Mapper to combine multiple samples into a single sample.
Note
This mapper is somewhat unconventional since it doesn’t preserve number of samples (ie the size of 0-th dimension).
Parameters: |
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Project an ND matrix into N+1D matrix
This method also handles the special of forward mapping a single ‘raw’ sample. Such a sample is extended (by concatenating clones of itself) to cover a full boxcar. This functionality is only availably after a full data array has been forward mapped once.
Return type: | array |
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Returns the number of original samples which were combined.
Returns the number of output samples.
Validate if InId is valid
Validate if OutId is valid
Uncombine features back into original space.
Samples which were not touched by forward will get value 0 assigned
Just complain for now