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.
Cet exercice fait partie du cours
Anomaly Detection in Python
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
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
____