mvpa2.mappers.baseΒΆ
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) |
This class allows to concatenate a list of nodes into a processing chain. |
CombinedMapper(mappers, combine_axis[, a]) |
Mapper to pass a dataset on to a set of mappers and combine there output. |
IdentityMapper(\*\*kwargs) |
A mapper that performs an identity transformation (i.e. |
Learner([auto_train, force_train]) |
Common trainable processing object. |
Mapper(\*\*kwargs) |
Basic mapper interface definition. |
