An IsolationForest object stores an ensemble of isolation trees fitted to a set of observations and detects anomalies through the isanomaly method. Create a model with the iforest function rather than by calling this constructor directly.

Anomalies are easier to isolate, so they sit closer to the root of a random isolation tree; the shorter its average path length across the ensemble, the higher an observation’s anomaly score.

See also: iforest, isanomaly

Source Code: IsolationForest