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 :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. |