Multivariate Pattern Analysis in Python

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# 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` It should not be used for __init__ methods of classes derived from ClassWithCollections since __doc__’s of those are handled by the AttributeCollector anyways.
`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.

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