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It enables estimating the causal effect of an intervention on some outcome from real-world non-experimental observational data.
What are the most impressive features of this product?
The fit-and-predict-like API makes it possible to train on one set of examples and estimate an effect on the other (out-of-bag), which allows for a more "honest"1 effect estimation.
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About the requester
Name: Khuyen Tran
GitHub username: @khuyentran1401
Information about the product
Which areas does this product focus on?
Data Science; Machine Learning/AI; Python
What problems does this product solves?
It enables estimating the causal effect of an intervention on some outcome from real-world non-experimental observational data.
What are the most impressive features of this product?
The fit-and-predict-like API makes it possible to train on one set of examples and estimate an effect on the other (out-of-bag), which allows for a more "honest"1 effect estimation.
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