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Currently, ML-Navigator is able to figure out what is the id, the target that should be predicted and the type of the problem either a classification or a regression problem. It will be nice if we can detect more advanced problem types like time series.
The suggested solution:
look for datetime features
figure out if the time or date interval is constant between the rows.
(find out more assumption to be sure that the problem is a time series problem)
The text was updated successfully, but these errors were encountered:
Currently, ML-Navigator is able to figure out what is the id, the target that should be predicted and the type of the problem either a classification or a regression problem. It will be nice if we can detect more advanced problem types like time series.
The suggested solution:
(find out more assumption to be sure that the problem is a time series problem)
The text was updated successfully, but these errors were encountered: