| import numpy as np | |
| from sklearn.ensemble import IsolationForest | |
| def train_anomaly_detector(features): | |
| model = IsolationForest(n_estimators=100, contamination=0.05, random_state=42) | |
| model.fit(features) | |
| return model | |
| import numpy as np | |
| from sklearn.ensemble import IsolationForest | |
| def train_anomaly_detector(features): | |
| model = IsolationForest(n_estimators=100, contamination=0.05, random_state=42) | |
| model.fit(features) | |
| return model | |