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skada.OTMapping — SKADA : Scikit Adaptation

skada.OTMapping(base_estimator=None, metric='sqeuclidean', norm=None, max_iter=100000)[source]

OTmapping pipeline with adapter and estimator.

See [6] for details.

Parameters:

base_estimatorobject, optional (default=None)

The base estimator to fit on the target dataset.

metricstr, optional (default="sqeuclidean")

The ground metric for the Wasserstein problem

norm{'median', 'max', 'log', 'loglog'} (default=None)

If given, normalize the ground metric to avoid numerical errors that can occur with large metric values.

max_iterint, optional (default=100_000)

The maximum number of iterations before stopping OT algorithm if it has not converged.

Returns:

pipelinePipeline

Pipeline containing OTMapping adapter and base estimator.

References

[6]

N. Courty, R. Flamary, D. Tuia and A. Rakotomamonjy, Optimal Transport for Domain Adaptation, in IEEE Transactions on Pattern Analysis and Machine Intelligence

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