def setUp(self):
self.n_train = 200
self.n_test = 100
self.contamination = 0.1
self.roc_floor = 0.8
self.X_train, self.y_train, self.X_test, self.y_test = generate_data(
n_train=self.n_train,
n_test=self.n_test,
contamination=self.contamination,
random_state=42)
detectors = [KNN(), LOF(), OCSVM()]
self.clf = SimpleDetectorAggregator(base_estimators=detectors,
method='maximization',
contamination=self.contamination)
self.clf.fit(self.X_train)
def construct_simple_aggregator(method):
from combo.models.detector_comb import SimpleDetectorAggregator
model = SimpleDetectorAggregator(construct_raw_base_estimators(),
method=method)
return model