To provide the most recent news and documentation www.pymvpa.org reflects the
development 2.0 series (renamed 0.6 series) of PyMVPA. If you are interested in the
documentation of the previous stable 0.4 series of PyMVPA, please
visit v04.pymvpa.org.
mvpa2.algorithms.hyperalignmentΒΆ
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...
Functions
| deepcopy(x[, memo, _nil]) | Deep copy operation on arbitrary Python objects. |
| zscore(ds, **kwargs) | In-place Z-scoring of a Dataset or ndarray. |
Classes
| ChainMapper(nodes, **kwargs) | Class that amends ChainNode with a mapper-like interface. |
| ClassWithCollections([descr]) | Base class for objects which contain any known collection |
| ConditionalAttribute([enabled]) | Simple container intended to conditionally store the value |
| Dataset(samples[, sa, fa, a]) | Generic storage class for datasets with multiple attributes. |
| Hyperalignment(**kwargs) | ... |
| Parameter(default[, ro, index, value, name, doc]) | This class shall serve as a representation of a parameter. |
| ProcrusteanMapper([scaling, reflection, ...]) | Mapper to project from one space to another using Procrustean |
| ZScoreMapper([params, param_est, ...]) | Mapper to normalize features (Z-scoring). |
