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.
Latihan ini adalah bagian dari kursus
Anomaly Detection in Python
Latihan interaktif praktis
Cobalah latihan ini dengan menyelesaikan kode contoh berikut.
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
____