skbio.table.Augmentation#
- class skbio.table.Augmentation(table, label=None, num_classes=None, tree=None)[source]#
Data Augmentation of a omic data table, for predictive models on omic data.
The Augmentation class is mainly designed to enhance the performance of classification models on omic data.
- Parameters:
- tableskbio.table.Table
The table to augment.
- labelnumpy.ndarray, optional
The label of the table. The label is expected to has a shape of
(n_samples,)or(n_samples, n_classes). Can be none if the label is not needed.- num_classesint, optional
The number of classes in the label. If None, either the no label is provided, or the label already one-hot encoded.
- treeskbio.tree.TreeNode, optional
The tree to use to augment the table. Only required for method
phylomix.
Methods
aitchison_mixup(n_samples[, alpha, seed])Data Augmentation by Aitchison mixup.
compositional_cutmix(n_samples[, seed])Data Augmentation by compositional cutmix.
mixup(n_samples[, alpha, seed])Data Augmentation by vanilla mixup.
phylomix(tip_to_obs_mapping, n_samples[, ...])Data Augmentation by phylomix.
Special methods
__str__()Return str(self).
Special methods (inherited)
__eq__(value, /)Return self==value.
__ge__(value, /)Return self>=value.
__getstate__(/)Helper for pickle.
__gt__(value, /)Return self>value.
__hash__(/)Return hash(self).
__le__(value, /)Return self<=value.
__lt__(value, /)Return self<value.
__ne__(value, /)Return self!=value.
Details