def __init__(self, base_estimator=None, n_estimators=10, max_samples=1.0, max_features=1.0, bootstrap=True, bootstrap_features=False, oob_score=False, warm_start=False, n_jobs=1, random_state=None, verbose=0): n_estimators = int(n_estimators) _BaggingClassifier.__init__( self, base_estimator, n_estimators, max_samples, max_features, bootstrap, bootstrap_features, oob_score, warm_start, n_jobs, random_state, verbose) BaseWrapperClf.__init__(self)
def __init__(self, classifier=None, detector=None, n_estimators=100, n_jobs=1, random_state=None, verbose=0): BaggingClassifier.__init__(self, base_estimator=classifier, n_estimators=n_estimators, warm_start=False, n_jobs=n_jobs, random_state=random_state, bootstrap=False, bootstrap_features=False, verbose=verbose) self.classifier = classifier self.detector = detector
def __init__(self, base_estimator=None, n_estimators=10, max_samples=1.0, max_features=1.0, bootstrap=True, bootstrap_features=False, oob_score=False, n_jobs=1, random_state=None, verbose=0): BaggingClassifier.__init__(self, base_estimator=base_estimator, n_estimators=n_estimators, max_samples=max_samples, max_features=max_features, bootstrap=bootstrap, bootstrap_features=bootstrap_features, oob_score=oob_score, n_jobs=n_jobs, random_state=random_state, verbose=verbose)
def __init__(self, classifier=None, detector=None, n_estimators=100, replacement=True, sampling_ratio=1.0, n_jobs=1, random_state=None, verbose=0): BaggingClassifier.__init__(self, base_estimator=classifier, warm_start=False, n_estimators=n_estimators, n_jobs=n_jobs, random_state=random_state, bootstrap=False, bootstrap_features=False, verbose=verbose) self.classifier = classifier self.detector = detector self.replacement = replacement self.sampling_ratio = sampling_ratio