Improve performance of aggregation feature calculation #209
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Outdated suggestions cannot be applied.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.
We had logic that checked for the case where the dataframe we were aggregating on was empty or had no related instances. This logic involved a slow python loop. Due to how we fill in missing values later in the function, this check was unnecessary and could be removed.
In some benchmarks, I saw 25% speeds ups for calculations.
Also, added test for the empty child dataframe case, which was previously untested.