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  3. Anomaly Detection in Python

Exercise

Alternative way of classifying with IForest

Until now, you have been using the .fit_predict() method to fit IForest and generate predictions simultaneously. However, pyod documentation suggests using the fit function first and accessing the inlier/outlier labels_ via a handy attribute.

You will practice this on the big_mart dataset.

Instructions

100 XP
  • Fit (only fit) the IForest() estimator to big_mart.
  • Access the training labels and store them as labels.
  • Use pandas subsetting on big_mart to filter the outliers into outliers.