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| from sklearn.ensemble import IsolationForest | |
| from typing import List, Dict, Any | |
| class AdvancedDataProcessor: | |
| """Processes data with advanced algorithms for deeper insights""" | |
| def __init__(self): | |
| self.isolation_forest = IsolationForest() | |
| def process_data(self, data: List[Dict[str, Any]]) -> List[Dict[str, Any]]: | |
| """Process data and detect anomalies""" | |
| processed_data = [] | |
| for item in data: | |
| item['anomaly_score'] = self.isolation_forest.fit_predict([item['features']]) | |
| processed_data.append(item) | |
| return processed_data |