Predictive Network Performance Analytics Framework

Develop a comprehensive network performance prediction system using Python that integrates machine learning with time-series anomaly detection. Create a model that predicts potential infrastructure failures by analyzing log data, network traffic patterns, and hardware metrics. Implement an automated feature engineering pipeline that dynamically selects and transforms relevant predictors, with a focus on interpretable AI techniques like SHAP values for explaining model decisions.