lifelines is a pure Python implementation of the best parts of survival analysis. We'd love to hear if you are using lifelines, please leave an Issue and let us know your thoughts on the library. Installation: You can install lifelines using pip install lifelines Or getting the bleeding edg...
之前很少用python做这类数据科学类的工作,但为了和其他工作流打通,也需要在python下使用一些数据科学工具,本文记录下试用生存分析库lifelines的过程。 首先安装对应包: pip install lifelines 由于是工作后时间,不便使用实际业务数据作为数据集,所以这里用了kaggle上著名的离职流失数据集来进行演示。 进行一次典型的生存分析...
pwf = PiecewiseExponentialFitter([40, 60]).fit(T, E, label='PiecewiseExponentialFitter') wbf.plot_survival_function(ax=axes[0][0]) exf.plot_survival_function(ax=axes[0][1]) lnf.plot_survival_function(ax=axes[0][2]) kmf.plot_survival_function(ax=axes[1][0]) llf.plot_survival_funct...
A Complete Guide To Survival Analysis In Python, part 1 - KDnuggets A Complete Guide To Survival Analysis In Python, part 2 - KDnuggets A Complete Guide To Survival Analysis In Python, part 3 - KDnuggets
lifelines is a pure Python implementation of the best parts of survival analysis. Documentation and intro to survival analysis If you are new to survival analysis, wondering why it is useful, or are interested in lifelines examples, API, and syntax, please read the Documentation and Tutorials pag...