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.
项目介绍
DoWhy 是一个用于因果推断的 Python 库,它支持对因果假设的明确建模和测试。DoWhy 植根于一种统一的因果推断语言,将因果图模型和潜在结果框架相结合。【此简介由AI生成】
MIT Python1.22 K提交数bayesian-networkscausal-inferencecausal-machine-learningcausal-modelscausalitydata-sciencedo-calculusgraphical-modelsmachine-learningpython3treatment-effects
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