Hierarchical forecast Utils - Aggregate: Add support for exogenous vars #293
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
This change to the utility function will assist in instances where you need to generate your summation and Y_df but also want to retain any exogenous vars required for your forecast.
You will need to pass in a dictionary containing your exogenous vars and the Pandas agg functions you want applied against them.
I have currently hardcoded the list of acceptable agg_funcs but open to hear if there's a better way