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