用于生存分析建模的开源软件包
pysurvival的Python项目详细描述
pysurvival是一个用于生存分析建模的开源python包，这个建模概念用于分析或预测事件何时可能发生。它建立在最常用的机器学习软件包上，如numpy、scipy和pytorch。
查看https://www.pysurvival.io上的文档
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pysurvive提供了一种非常简单的方法，可以在关于生存分析的理论知识和关于如何进行全面分析、构建和使用模型的详细教程之间导航。实际上，该软件包包含：
- 10+ models ranging from the Cox Proportional Hazard model, the Neural Multi-Task Logistic Regression to Random Survival Forest
- Summaries of the theory behind each model as well as API descriptions and examples.
- Tutorials displaying in great details how to perform exploratory data analysis, survival modeling, cross-validation and prediction, for churn modeling and credit risk to name a few.
- Performance metrics to assess the models’ abilities like c-index or brier score
- Simple ways to load and save models
- … and more !
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pysurvive与python 2.7-3.7兼容。
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