API Reference¶
Classifier Combination¶
combo.models.classifier_comb.SimpleClassifierAggregator: a collection of classifier combination methods, e.g., average, median, and majority vote.combo.models.classifier_stacking.Stacking: Stacking (meta ensembling). Check this introductory article by Kaggle.combo.models.classifier_dcs.DCS_LA: Dynamic classifier selection (DCS) by local accuracy.combo.models.classifier_des.DES_LA: Dynamic ensemble selection (DES) by local accuracy.
Cluster Combination¶
combo.models.cluster_comb.ClustererEnsemble: Clusterer Ensemble combines multiple base clustering estimators by alignment.combo.models.cluster_comb.clusterer_ensemble_scores(): Clusterer Ensemble on clustering results directly.combo.models.cluster_eac.EAC: Combining multiple clusterings using evidence accumulation (EAC).
Outlier Detector Combination¶
combo.models.detector_comb.SimpleDetectorAggregator: a collection of outlier detector combination methods, e.g., average, median, and maximization. Refer PyOD for more information.combo.models.detector_lscp.LSCP: Locally Selective Combination of Parallel Outlier Ensembles (LSCP).
Score Combination¶
combo.models.score_comb: a collection of (raw) score
combination methods.
All Models¶
- Core Models
- combo.models.classifier_comb module
- combo.models.classifier_dcs module
- combo.models.classifier_des module
- combo.models.classifier_stacking module
- combo.models.cluster_comb module
- combo.models.cluster_eac module
- combo.models.detector_comb module
- combo.models.detector_lscp module
- combo.models.score_comb module
- Module contents
- Utils Functions