mvpa2.base.dataset

Multi-purpose dataset container with support for attributes.

Functions

all_equal(x, y)	General function that compares two values.
datasetmethod(func)	Decorator to easily bind functions to an AttrDataset class
hstack(datasets[, a, sa])	Stacks datasets horizontally (appending features).
is_datasetlike(obj)	Check if an object looks like a Dataset.
lexists(path)	Test whether a path exists.
save(dataset, destination[, name, compression])	Save Dataset into HDF5 file
split_by_feature_attribute(ds, fa_label[, ...])	Splits a dataset based on unique values of a feature attribute
split_by_sample_attribute(ds, sa_label[, ...])	Splits a dataset based on unique values of a sample attribute
stack_by_unique_feature_attribute(dataset, ...)	Performs vstack based on unique values in fa_label
stack_by_unique_sample_attribute(dataset, ...)	Performs hstack based on unique values in sa_label
vstack(datasets[, a, fa])	Stacks datasets vertically (appending samples).

Classes

AttrDataset(samples[, sa, fa, a])	Generic storage class for datasets with multiple attributes.
DAE	alias of DatasetAttributeExtractor
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	alias of DatasetAttributeExtractor
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.