Chronos: Customizing Language Model Architectures to Time Series for Time Series
Forecasts for time series are important for decision -making across industries such as retail, energy, finances and health care. However, the development of accurate machine learning-based prognosis models has traditionally demanded significant data set-style and model adjustment. Related content Time series forecasts enable up-to-the-minute trend recognition, while the new two-step training process improves prognosis accuracy. … Read more
