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The DataSet stores the time series data as a set of numpy arrays (separated in train/test data + labels of each set). In several cases, this approach loses information, as you do not know from which real-world process the data originates.
This can be fixed by adding a list of strings to the DataSet, which give the name of the feature that is present in the data.
The text was updated successfully, but these errors were encountered:
The
DataSet
stores the time series data as a set of numpy arrays (separated in train/test data + labels of each set). In several cases, this approach loses information, as you do not know from which real-world process the data originates.This can be fixed by adding a list of strings to the
DataSet
, which give the name of the feature that is present in the data.The text was updated successfully, but these errors were encountered: