skada.MMDLSConSMapping
- skada.MMDLSConSMapping(base_estimator=None, gamma=1.0, reg_k=1e-10, reg_m=1e-10, tol=1e-05, max_iter=100)[source]
MMDLSConSMapping pipeline with adapter and estimator.
See [21] for details.
- Parameters:
- base_estimatorobject, optional (default=None)
The base estimator to fit on the target dataset.
- gammafloat
Parameter for the Gaussian kernel.
- reg_kfloat, default=1e-10
Regularization parameter for the labels kernel matrix.
- reg_mfloat, default=1e-10
Regularization parameter for the mapping parameters.
- tolfloat, default=1e-5
Tolerance for the stopping criterion in the optimization.
- max_iterint, default=100
Number of maximum iteration before stopping the optimization.
- Returns:
- pipelinePipeline
Pipeline containing CORAL adapter and base estimator.
References
[21]Kun Zhang et. al. Domain Adaptation under Target and Conditional Shift In ICML, 2013.
Examples using skada.MMDLSConSMapping
Comparison of DA classification methods
Comparison of DA classification methods