sksurv.meta.Stacking¶
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class
sksurv.meta.
Stacking
(meta_estimator, base_estimators, probabilities=True)[source]¶ Meta estimator that combines multiple base learners.
By default, base estimators’ output corresponds to the array returned by predict_proba. If predict_proba is not available or probabilities = False, the output of predict is used.
Parameters: - meta_estimator (instance of estimator) – The estimator that is used to combine the output of different base estimators.
- base_estimators (list) – List of (name, estimator) tuples (implementing fit/predict) that are part of the ensemble.
- probabilities (bool, optional, default: True) – Whether to allow using predict_proba method of base learners, if available.
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__init__
(meta_estimator, base_estimators, probabilities=True)[source]¶ Initialize self. See help(type(self)) for accurate signature.
Methods
__init__
(meta_estimator, base_estimators[, …])Initialize self. fit
(X[, y])Fit base estimators. get_params
([deep])Attributes
predict
mock imports predict_log_proba
mock imports predict_proba
mock imports