randomml.ensemble.RVFLBaggingClassifier

class randomml.ensemble.RVFLBaggingClassifier(in_dim, rvfl_kwargs=None, n_estimators=10, random_state=None)

Bagging-based ensemble of RVFLClassifier using sklearn’s BaggingClassifier.

__init__(in_dim, rvfl_kwargs=None, n_estimators=10, random_state=None)

Initializes the Bagging-based RVFLClassifier.

Args:

in_dim (int): Input feature dimension. rvfl_kwargs (dict, optional): Keyword arguments for RVFLClassifier. n_estimators (int): Number of base learners. random_state (int, optional): Random seed for reproducibility.

Methods

__init__(in_dim[, rvfl_kwargs, ...])	Initializes the Bagging-based RVFLClassifier.
fit(X, y)	Fits the Bagging RVFLClassifier.
predict(X)	Predicts using the ensemble model.
predict_proba(X)	Predicts class probabilities.

fit(X, y)

Fits the Bagging RVFLClassifier.

predict(X)

Predicts using the ensemble model.

predict_proba(X)

Predicts class probabilities.