📄 中文摘要
DoWhy 是一个专为因果推断设计的开源库，旨在简化因果分析的过程。该库提供了一整套工具，支持从数据准备到模型评估的完整工作流程。用户可以通过图形模型定义因果关系，并利用多种方法进行因果推断，包括回归分析和倾向得分匹配。DoWhy 的设计理念强调可重复性和透明性，允许用户轻松地验证和复现因果推断的结果。此外，DoWhy 还与其他流行的数据科学库兼容，增强了其在实际应用中的灵活性和实用性。
DoWhy：一个端到端的因果推断库
出处: DoWhy: An End-to-End Library for Causal Inference
发布: 2026年3月26日
📄 English Summary
DoWhy: An End-to-End Library for Causal Inference
DoWhy is an open-source library designed specifically for causal inference, aiming to simplify the process of causal analysis. It provides a comprehensive set of tools that support the entire workflow from data preparation to model evaluation. Users can define causal relationships through graphical models and apply various methods for causal inference, including regression analysis and propensity score matching. The design philosophy of DoWhy emphasizes reproducibility and transparency, allowing users to easily validate and replicate causal inference results. Additionally, DoWhy is compatible with other popular data science libraries, enhancing its flexibility and practicality in real-world applications.