mvpa2.base.datasetΒΆ

Multi-purpose dataset container with support for attributes.

Inheritance diagram of mvpa2.base.dataset

Functions

datasetmethod(func) Decorator to easily bind functions to an AttrDataset class
hstack(datasets) Stacks datasets horizontally (appending features).
is_datasetlike(obj) Check if an object looks like a Dataset.
save(dataset, destination[, name, compression]) Save Dataset into HDF5 file :Parameters: dataset : Dataset destination : h5py.highlevel.File or str name : str, optional compression : None or int or {‘gzip’, ‘szip’, ‘lzf’}, optional Level of compression for gzip, or another compression strategy.
vstack(datasets) Stacks datasets vertically (appending samples).

Classes

AttrDataset(samples[, sa, fa, a]) Generic storage class for datasets with multiple attributes.
DAE Helper to extract arbitrary attributes from dataset collections.
DatasetAttributeExtractor(col, key) Helper to extract arbitrary attributes from dataset collections.
DatasetAttributesCollection([items]) Container for attributes of datasets (i.e.
FeatureAttributesCollection([items, length]) Container for attributes of features ..
SampleAttributesCollection([items, length]) Container for attributes of samples (i.e.

Exceptions

AttrDataset(samples[, sa, fa, a]) Generic storage class for datasets with multiple attributes.
DAE Helper to extract arbitrary attributes from dataset collections.
DatasetAttributeExtractor(col, key) Helper to extract arbitrary attributes from dataset collections.
DatasetAttributesCollection([items]) Container for attributes of datasets (i.e.
FeatureAttributesCollection([items, length]) Container for attributes of features ..
SampleAttributesCollection([items, length]) Container for attributes of samples (i.e.

NeuroDebian

NITRC-listed