skada.SubspaceAlignment
- skada.SubspaceAlignment(base_estimator=None, n_components=None, random_state=None)[source]
Domain Adaptation Using Subspace Alignment.
See [8] for details.
- Parameters:
- base_estimatorobject, default=None
estimator used for fitting and prediction
- n_componentsint, default=None
The numbers of components to learn with PCA. If n_components is not set all components are kept:
n_components == min(n_samples, n_features)
- random_stateint, RandomState instance or None, default=None
Determines random number generation for dataset creation. Pass an int for reproducible output across multiple function calls.
- Returns:
- pipelinePipeline
A pipeline containing a SubspaceAlignmentAdapter.
References
[8]Basura Fernando et. al. Unsupervised Visual Domain Adaptation Using Subspace Alignment. In IEEE International Conference on Computer Vision, 2013.
