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@gpfreitas Made the point today that the examples in ./notebooks with MLDataset.to_features() do not show using the dimension related information in the features. It shows calling to_features to create a MultiIndex.
Add an example a custom transformer function extracts from the MultiIndex the dimension related info, e.g. lat, lon, time, and does some binning operation on those dimension related data to create additional features
The text was updated successfully, but these errors were encountered:
@gpfreitas Made the point today that the examples in
./notebooks
withMLDataset.to_features()
do not show using the dimension related information in the features. It shows callingto_features
to create a MultiIndex.Add an example a custom transformer function extracts from the MultiIndex the dimension related info, e.g. lat, lon, time, and does some binning operation on those dimension related data to create additional features
The text was updated successfully, but these errors were encountered: