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WM-SEMERU / ds4se

Data Science for Software Engineering (ds4se) is an academic initiative to perform exploratory and causal inference analysis on software engineering artifacts and metadata. Data Management, Analysis, and Benchmarking for DL and Traceability.
https://wm-csci-435-f19.github.io/ds4se/
Apache License 2.0
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Learn how to call the refute_estimate method of the CausalModel class #107

Open scheurich-sarah opened 3 years ago

scheurich-sarah commented 3 years ago

Refutation is the fourth step in the causal process identified in doWhy documentation. Understand it's keyword args.

103

scheurich-sarah commented 3 years ago

Implemented vanilla causal framework on a built-in doWhy data set. All built in data sets come with structural causal models already encoded. This implementation follows the starter notebook ConfoundingExample on the doWhy website. This starter notebook seemed most relevant as it uses regression and explores data looking for confounders. Documented nuances about the refute_estimate method of the CausalModel class from exploring source code.