Add the Model MICE - Githubissues

WenjieDu / PyPOTS

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

BSD 3-Clause "New" or "Revised" License

965 stars 92 forks source link

1. Model description

Wenjie and I would like to propose the inclusion of the MICE (Multiple Imputation by Chained Equations) model into the PyPOTS framework.

Publication: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3074241/

Reason for Inclusion: MICE is a robust and versatile tool for dealing with missing data, an issue prevalent in many datasets. Its inclusion in PyPOTS will greatly enhance the toolkit's capabilities in data preprocessing and analysis. Also, MICE is more "statistical"

2. Check open-source status

[X] The model implementation is publicly available

3. Provide useful information for the implementation

The official implementation in R is available https://github.com/amices/mice

WenjieDu / PyPOTS

Add the Model MICE #296

1. Model description

2. Check open-source status

3. Provide useful information for the implementation