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API change for the SyntheticControl
experiment class
#460
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Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## main #460 +/- ##
==========================================
- Coverage 94.67% 94.40% -0.27%
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Files 32 29 -3
Lines 2196 2075 -121
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xarray.DataArrays
. This helps with the broadcasting. The model functions get varied input depending on the situation (e.g. experiment), so it was getting complicated. Xarray simplifies broadcasting in functions likePyMCModel.calculate_impact
. (A bunch of time was used trying different solutions before it became clear that the xarray approach was the easiest).0.x
, so people should expect the API to change until we reach1.x
.Remaining taks:
Remaining bug, not captured by tests
In the scikit-learn synthetic control notebook, we are getting an error in the second part where we call
There is a broadcasting issue resulting in this:

So I need to think about if doing this (linear model with synthetic control experiment) even make sense. If it is, then I need to add a test to catch this error because it's not covered by tests currently, and fix it.
📚 Documentation preview 📚: https://causalpy--460.org.readthedocs.build/en/460/