PyMVPA’s common Dataset container.
Functions
idhash_(val) | Craft unique id+hash for an object |
mask_mapper([mask, shape, space]) | Factory method to create a chain of Flatten+StaticFeatureSelection Mappers |
Classes
AttrDataset(samples[, sa, fa, a]) | Generic storage class for datasets with multiple attributes. |
ChainMapper(nodes, **kwargs) | Class that amends ChainNode with a mapper-like interface. |
Dataset(samples[, sa, fa, a]) | Generic storage class for datasets with multiple attributes. |
DatasetAttribute([value, name, doc, length]) | Dataset attribute |
DatasetAttributesCollection([items]) | Container for attributes of datasets (i.e. |
FeatureAttribute([value, name, doc, length]) | Per feature attribute in a dataset |
FeatureAttributesCollection([items, length]) | Container for attributes of features |
FlattenMapper(**kwargs[, shape, maxdims]) | Reshaping mapper that flattens multidimensional arrays into 1D vectors. |
HollowSamples([shape, sid, fid, dtype]) | Samples container that doesn’t store samples. |
SampleAttribute([value, name, doc, length]) | Per sample attribute in a dataset |
SampleAttributesCollection([items, length]) | Container for attributes of samples (i.e. |
StaticFeatureSelection(slicearg, **kwargs[, ...]) | Feature selection by static slicing argument. |