Hi Nixtla Community , I am Harleen. I am working on an anomaly detection problem involving multivariate time-series data. Our dataset consists of approximately 50 features and we have identified 5 types of anomalies. I am interested in leveraging TimeGPT-1 for anomaly classification in this context. Could you provide some examples or demonstrations on how TimeGPT-1 can be utilized for this purpose? Specifically, I am looking for guidance on: 1. Setting up TimeGPT-1 for multivariate time-series anomaly detection. 2. Best practices for handling a dataset with multiple features and anomaly types. 3. Any relevant code snippets or tutorials that could help us get started.

Hello! You can follow this tutorial on anomaly detection with TimeGPT.