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A missing value imputation library based on machine learning. It's implementation missForest, simple edition of MICE(R pacakge), knn, EM, etc....

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AttributeError: 'Solver' object has no attribute 'masker'

Thank you for sharing the implementation. How to use the algorithms if we have categorical (nominal) variables in our data? Do we need to encode them first?

请问EM算法如何使用 solve函数里面的missing_mask是什么

您好,我使用您提工的方法导入鸢尾花数据集使用mida出现报错: X_filled = MIDA().complete(iris_miss) File "F:\mini_conda\envs\GAT-TSP\lib\site-packages\ycimpute-0.2-py3.6.egg\ycimpute\utils\tools.py", line 86, in complete File "F:\mini_conda\envs\GAT-TSP\lib\site-packages\ycimpute-0.2-py3.6.egg\ycimpute\imputer\mida.py", line 83, in solve File "F:\mini_conda\envs\GAT-TSP\lib\site-packages\ycimpute-0.2-py3.6.egg\ycimpute\imputer\mida.py", line 60, in training ZeroDivisionError: integer division or modulo by zero 使用MissForest出现报错:...

伟大光荣,万能的hub主,能帮忙实现这篇论文吗? [A novel purity-based k nearest neighbors imputation method and its application in financial distress prediction](https://doi.org/10.1016/j.engappai.2019.03.003) [Adaptive multiple imputations of missing values using the class center](https://doi.org/10.1186/s40537-022-00608-0) 感激不尽!!