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mvpa.base.datasetΒΆ
Multi-purpose dataset container with support for attributes.
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 |
| 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. |
