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.
Este ejercicio forma parte del curso
Anomaly Detection in Python
Ejercicio interactivo práctico
Prueba este ejercicio completando el código de muestra.
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
____