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Synthetic difference in differences for Python

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Hey! thanks for your package I've been playing around with it as an extension of Google's CausalImpact tool. Got a dataset with market data having different scales, so log transformation...

`sklearn` is deprecated. replaced with `scikit-learn`.

`Collecting git+https://github.com/MasaAsami/pysynthdid Cloning https://github.com/MasaAsami/pysynthdid to /tmp/pip-req-build-ey_7xzv7 Running command git clone --filter=blob:none --quiet https://github.com/MasaAsami/pysynthdid /tmp/pip-req-build-ey_7xzv7 Resolved https://github.com/MasaAsami/pysynthdid to commit 01afe33ae22f513c65f9cfdec56a4b21ca547c28 Preparing metadata (setup.py) ... done Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages...

I am trying to apply the code to a time series dataset I am working with. I arranged it as in the example When I run: 'sdid = SynthDID(df_int, pre_terem,...

Hi, thanks so much for this package! I'm really grateful to you for coding this up and building it. For one of my applications, however, I'm finding some apparent discrepancies...