https://github.com/soda-inria/causal_model_selection

https://github.com/soda-inria/causal_model_selection

Last synced: 1 day ago
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• Host: GitHub
• URL: https://github.com/soda-inria/causal_model_selection
• Owner: soda-inria
• License: bsd-2-clause
• Created: 2023-05-25T15:44:04.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-06-07T07:34:12.000Z (over 1 year ago)
• Last Synced: 2024-11-06T21:19:16.886Z (about 2 months ago)
• Language: Python
• Size: 9.77 KB
• Stars: 2
• Watchers: 6
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Causal model selection

Code for cross-validation to select the best predictive model to guide

decision on potential intervention.

The procedure implemented here was validated in the paper [How to select

predictive models for decision making or causal

inference](https://hal.science/hal-03946902)

**This repository is work in progress** We will soon make available here

a simple cross-validation routine for causal model selection.

In the mean time, the causal risks are available is the [study's

repository](https://github.com/soda-inria/caussim/blob/main/caussim/estimation/scores.py).