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algorithms.hyperalignment

Module: algorithms.hyperalignment

Inheritance diagram for mvpa.algorithms.hyperalignment:

Hyperalignment of functional data to the common space

References: TODO...

see SMLR code for example on how to embed the reference so in future it gets properly referenced...

Hyperalignment

class mvpa.algorithms.hyperalignment.Hyperalignment(alignment=None, levels=3, combiner1='mean', combiner2='mean', **kwargs)

Bases: mvpa.misc.state.ClassWithCollections

...

Given a set of datasets (may be just data) provide mapping of features into a common space

Note

Available state variables:

• who_knows_maybe_something_to_store_optionally: ....

(States enabled by default are listed with +)

See also

Please refer to the documentation of the base class for more information:

ClassWithCollections

Initialize instance of Hyperalignment

Parameters:

• alignment – ... XXX If None (default) an instance of ProcrusteanMapper is used. (Default: None)
• levels – Number of levels ....XXX . (Default: 3)
• combiner1 – XXX . (Default: mean)
• combiner2 – XXX . (Default: mean)
• enable_states (None or list of basestring) – Names of the state variables which should be enabled additionally to default ones
• disable_states (None or list of basestring) – Names of the state variables which should be disabled