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Oracen edited this page Sep 22, 2018
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Midas is a multiple imputation (MI) tool designed to handle missing data in large datasets. By leveraging the flexibility and scalability of neural networks, Midas can avoid many of the memory and linearity constraints associated with existing MI algorithms.
To install Midas via pip with Git, use the following command:
pip install git+https://github.com/Oracen/MIDAS.git
For information on how to use the Midas class, read the class guide.
This description will be expanded on in time.