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.mappers.base

Basic, general purpose and meta mappers.

Functions

accepts_dataset_as_samples(fx)	Decorator to extract samples from Datasets.
borrowdoc(cls[, methodname])	Return a decorator to borrow docstring from another cls.`methodname`
is_datasetlike(obj)	Check if an object looks like a Dataset.

Classes

ChainMapper(nodes, **kwargs)	Class that amends ChainNode with a mapper-like interface.
ChainNode(nodes, **kwargs)	Chain of nodes.
CombinedMapper(mappers, combine_axis, **kwargs)	Mapper to pass a dataset on to a set of mappers and combine there output.
Learner([auto_train, force_train])	Common trainable processing object.
Mapper(**kwargs)	Basic mapper interface definition.