mvpa2.datasets.baseΒΆ
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 ([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[, dshape, ...]) |
Feature selection by static slicing argument. |