First of all, congratulations on your outstanding work!
I've been attempting to execute your code, specifically with the FSNet model and the baselines, for a univariate forecasting task. To achieve this, I modified the '--features' argument to 'MS' for multivariate predicting univariate or 'S' for univariate predicting univariate. Additionally, I defined the target features.
However, I observed that the performance is significantly subpar across all datasets. Are there any other arguments that I should consider adjusting? I had anticipated that the predictions would be more accurate, given that univariate forecasting is generally considered simpler than multivariate forecasting.
First of all, congratulations on your outstanding work!
I've been attempting to execute your code, specifically with the FSNet model and the baselines, for a univariate forecasting task. To achieve this, I modified the '--features' argument to 'MS' for multivariate predicting univariate or 'S' for univariate predicting univariate. Additionally, I defined the target features.
However, I observed that the performance is significantly subpar across all datasets. Are there any other arguments that I should consider adjusting? I had anticipated that the predictions would be more accurate, given that univariate forecasting is generally considered simpler than multivariate forecasting.
Thank you for your assistance!