DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
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Bumps notebook from 7.0.7 to 7.2.2.
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d1d232bPublish 7.2.20426a89Upgrade JupyterLab dependencies to v4.2.5 (#7447)3542421Publish 7.2.1e881745Backport PR #7392: Remove pseudoelement obstructing the cell collapser (#7393)30587b8Publish 7.2.031bf294Add user facing changelog for 7.2 (#7372)08fe5c5Update@jupyterlab/galata(#7361)7891117Update config.yml (#7363)a1e25b9Publish 7.2.0rc1f5d8aeaDefault to thefullwindowing mode (#7321)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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