Storing outlier probabilities
Continue building the ensemble by writing the code block that loops over estimators and generates outlier probabilities.
The scaled apple dataset with extra features is available.
Bu egzersiz
Anomaly Detection in Python
kursunun bir parçasıdırUygulamalı interaktif egzersiz
Bu örnek kodu tamamlayarak bu egzersizi bitirin.
estimators = [IForest(n_estimators=50), IForest(n_estimators=100)]
shape = (len(apple), len(estimators))
probability_scores = np.empty(shape=shape)
for ____, ____ in ____:
# Fit the estimator
____