Hi, I’ve been exploring your ContiFormer implementation for time series forecasting, and I’m particularly interested in how the model is adapted for regular time series data. Could you share some insights or point me toward any documentation or specific code segments that show how the regular time series data is processed? I’m particularly curious about how the model handles continuous-regular time series data, trend, or any other pre-processing steps.
Thanks in advance!
Hi, I’ve been exploring your ContiFormer implementation for time series forecasting, and I’m particularly interested in how the model is adapted for regular time series data. Could you share some insights or point me toward any documentation or specific code segments that show how the regular time series data is processed? I’m particularly curious about how the model handles continuous-regular time series data, trend, or any other pre-processing steps.
Thanks in advance!