Adaptive Network Performance Anomaly Detection

Create an advanced network performance anomaly detection system using time-series analysis and machine learning. Develop a Python framework that can process high-frequency network logs, detect subtle performance degradations, predict potential failure points, and automatically generate remediation recommendations. Implement unsupervised and semi-supervised learning techniques that can adapt to evolving network characteristics.