基于生成对抗网络的缺失数据填补方法【GAIN的pytorch版本（完整版）】

# Datasets The datasets are from the [University of California at Irvine (UCI) Machine Learning Repository](https://archive.ics.uci.edu/ml/index.php) and are subject to a [Citation Policy](https://archive.ics.uci.edu/ml/citation_policy.html), they can be directly accessed using the following links: * [Breast Cancer Wisconsin (Diagnostic) Data Set](https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Diagnostic%29) * [Default of Credit Card Clients Data Set](https://archive.ics.uci.edu/ml/datasets/default+of+credit+card+clients) * [EEG Eye State Data Set](https://archive.ics.uci.edu/ml/datasets/EEG+Eye+State) * [Iris Data Set](https://archive.ics.uci.edu/ml/datasets/Iris) * [Letter Recognition Data Set](https://archive.ics.uci.edu/ml/datasets/Letter+Recognition) * [Online News Popularity Data Set](https://archive.ics.uci.edu/ml/datasets/Online+News+Popularity) * [Spambase Data Set](https://archive.ics.uci.edu/ml/datasets/Spambase) * [(Red and White) Wine Quality Data Set](https://archive.ics.uci.edu/ml/datasets/Wine+Quality) * [Yeast Data Set](https://archive.ics.uci.edu/ml/datasets/Yeast)