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Multivariate Pattern Analysis in Python |
Simply functors that transform something.
The comprehensive API documentation for this module, including all technical details, is available in the Epydoc-generated API reference for mvpa.misc.transformers (for developers).
Bases: object
Helper to apply transformer over specific axis
Initialize transformer wrapper with an axis.
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See also
Derived classes might provide additional methods via their base classes. Please refer to the list of base classes (if it exists) at the begining of the OverAxis documentation.
Full API documentation of OverAxis in module mvpa.misc.transformers.
See also
Full API documentation of Absolute() in module mvpa.misc.transformers.
See also
Full API documentation of FirstAxisMean() in module mvpa.misc.transformers.
See also
Full API documentation of GrandMean() in module mvpa.misc.transformers.
See also
Full API documentation of Identity() in module mvpa.misc.transformers.
See also
Full API documentation of L1Normed() in module mvpa.misc.transformers.
Norm the values so that regular vector norm becomes norm
More verbose: Norm that the sum of the squared elements of the returned vector becomes norm.
See also
Full API documentation of L2Normed() in module mvpa.misc.transformers.
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Full API documentation of OneMinus() in module mvpa.misc.transformers.
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Full API documentation of RankOrder() in module mvpa.misc.transformers.
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Full API documentation of ReverseRankOrder() in module mvpa.misc.transformers.
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Full API documentation of SecondAxisMaxOfAbs() in module mvpa.misc.transformers.
Mean across 2nd axis
See also
Full API documentation of SecondAxisMean() in module mvpa.misc.transformers.
Sum of absolute values along the 2nd axis
See also
Full API documentation of SecondAxisSumOfAbs() in module mvpa.misc.transformers.