You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Thank you for developing this package. This is awesome. Can we add xgboost into this hybridforecast. Most of the winning solutions for forecasting competitions having xgboost models in them. So that this package covers all time series models plus advanced machine learning algorithms (nnetar and xgboost).
The text was updated successfully, but these errors were encountered:
@nnarukulla For this to work, we'd have to build useful features from the timeseries so that xgboost can train on it. Do you have some example code for the types of features that xgboost trains well on? Really this might be well suited to a separate package first and then we can import it and integrate it from there.
Thank you for developing this package. This is awesome. Can we add xgboost into this hybridforecast. Most of the winning solutions for forecasting competitions having xgboost models in them. So that this package covers all time series models plus advanced machine learning algorithms (nnetar and xgboost).
The text was updated successfully, but these errors were encountered: