Machine learningDeep Learning, Time Series Forecasting, Foundation Models
TimeGPT
TimeGPT是由Garza和White于2023年推出的一款时间序列基础模型，它在一个预训练模型中统一了预测、异常检测和分类。TimeGPT受大型语言模型的启发，在多样化的时间序列数据上进行预训练，并通过最少的微调即可很好地迁移到下游任务。
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来源
- Garza, F., & White, C. W. (2023). TimeGPT-1: A Time Series Foundation Model. In ICML 2024 Time Series Workshop. link ↗
如何引用本页
ScholarGate. (2026, June 3). A Time Series Foundation Model. ScholarGate. https://scholargate.app/zh/deep-learning/timegpt
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