skada.DiscriminatorReweight
- skada.DiscriminatorReweight(base_estimator=None, domain_classifier=None)[source]
Discriminator re-weighting pipeline adapter and estimator.
see [1] for details.
- Parameters:
- base_estimatorsklearn estimator, default=None
estimator used for fitting and prediction
- domain_classifiersklearn classifier, optional
Classifier used to predict the domains. If None, a LogisticRegression is used.
- Returns:
- pipelinesklearn pipeline
Pipeline containing the DiscriminatorReweight adapter and the base estimator.
References
[1]Hidetoshi Shimodaira. Improving predictive inference under covariate shift by weighting the log-likelihood function. In Journal of Statistical Planning and Inference, 2000.
Examples using skada.DiscriminatorReweight
Comparison of DA classification methods
Comparison of DA classification methods
Reweighting method example on covariate shift dataset
Reweighting method example on covariate shift dataset