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Multivariate Pattern Analysis in Python |
Inheritance diagram for mvpa.misc.transformers:
Simply functors that transform something.
Bases: mvpa.misc.state.ClassWithCollections
Converts values into p-values under vague and non-scientific assumptions
Note
Available state variables:
(States enabled by default are listed with +)
See also
Please refer to the documentation of the base class for more information:
L2-Norm the values, convert them to p-values of a given distribution.
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WARNING: Highly experimental/slow/etc: no theoretical grounds have been presented in any paper, nor proven
Bases: object
Helper to apply transformer over specific axis
Initialize transformer wrapper with an axis.
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Returns the elementwise absolute of any argument.
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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.
Mean across 2nd axis
Sum of absolute values along the 2nd axis