skada.TransferComponentAnalysis
- skada.TransferComponentAnalysis(base_estimator=None, kernel='rbf', n_components=None, mu=0.1)[source]
Domain Adaptation Using Transfer Component Analysis.
See [9] for details.
- Parameters:
- base_estimatorobject, default=None
estimator used for fitting and prediction
- kernelkernel object, default='rbf'
The kernel computed between data.
- n_componentsint, default=None
The numbers of components to learn with PCA. Should be less or equal to the number of samples of the source and target data.
- mufloat, default=0.1
The parameter of the regularization in the optimization problem.
- Returns:
- pipelinePipeline
A pipeline containing a TransferComponentAnalysisAdapter.
References
[9]Sinno Jialin Pan et. al. Domain Adaptation via Transfer Component Analysis. In IEEE Transactions on Neural Networks, 2011.
