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.claude/settings.json

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"Read(//home/lucifer/pCloudDrive/onlinecml/**)",
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"Bash(ls -la examples/notebooks/*.ipynb)",
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"Bash(python full_test.py)",
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"Bash(pytest tests/unit/test_forests.py -x -q)"
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"Bash(pytest tests/unit/test_forests.py -x -q)",
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"Bash(mkdocs gh-deploy:*)",
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"Bash(pyenv shell:*)",
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"Bash(git commit:*)",
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"Bash(git push:*)"
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],
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"additionalDirectories": [
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"/tmp"

README.md

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*Causal inference for the real world — one observation at a time.*
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[![CI](https://github.com/athammad/onlinecml/actions/workflows/ci.yml/badge.svg)](https://github.com/athammad/onlinecml/actions/workflows/ci.yml)
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[![Coverage](https://img.shields.io/badge/coverage-97%25-brightgreen)](https://github.com/athammad/onlinecml)
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[![Docs](https://img.shields.io/badge/docs-athammad.github.io%2Fonlinecml-blue)](https://athammad.github.io/onlinecml/)
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docs/index.md

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# OnlineCML
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> **Causal inference for the real world — one observation at a time.**
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[![CI](https://github.com/athammad/onlinecml/actions/workflows/ci.yml/badge.svg)](https://github.com/athammad/onlinecml/actions/workflows/ci.yml)
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OnlineCML is the first Python library for causal inference in a purely online,
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one-observation-at-a-time setting. It is the streaming counterpart to EconML,
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CausalML, and DoWhy — built on [River](https://riverml.xyz)'s infrastructure

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