https://github.com/tryolabs/causal_inference
Measure the impact of an intervention in a time series, using different sources as references.
https://github.com/tryolabs/causal_inference
Last synced: 11 months ago
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Measure the impact of an intervention in a time series, using different sources as references.
- Host: GitHub
- URL: https://github.com/tryolabs/causal_inference
- Owner: tryolabs
- Created: 2020-03-17T14:33:31.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2023-07-20T11:22:03.000Z (about 3 years ago)
- Last Synced: 2025-06-05T13:44:58.598Z (about 1 year ago)
- Language: Python
- Size: 494 KB
- Stars: 7
- Watchers: 7
- Forks: 3
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
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README
# Causal Inference
Measure the impact of an intervention in a time series, using different sources as references.
## Starting
Before starting, select python 3.7.6, and then:
- Configure poetry to keep venvs locally (VSCode will detect it out of the box):
```
poetry config virtualenvs.in-project true
```
- Install dependencies (this will also create the venv):
```
poetry install
```
- Enjoy. e.g: run the VSCode style notebook: `test_notebook.py`