tapas.attacks.set_classifiers.CombinedSetFeatures
- class tapas.attacks.set_classifiers.CombinedSetFeatures(*features)
Bases:
tapas.attacks.set_classifiers.SetFeatureCombined (concatenated) set features extracted from datasets. While you may use this directly, it is mostly as part of __add__.
- __init__(*features)
Methods
__init__(*features)extract(dataset)Extract features from each dataset in a list.
Attributes
label- extract(dataset: Dataset) np.array
Extract features from each dataset in a list.
- Parameters
datasets (list of Datasets.) – Datasets to extract features from.
- Returns
features – Array of size len(datasets) x k, where the number of features k can be estimated by self.size(dataset.description). Each row is a dataset, and each column a different feature.
- Return type
np.array