High-Performance Open-Source Archive
start_server(): Launch the MIDAS2 Python API
server.stop_server(): Stop the running server.ensure_server(): Start the server if it is not already
running.midas_fit(): Fit a MIDAS denoising autoencoder
model.midas_transform(): Generate multiple imputations from a
fitted model.midas(): All-in-one fit + transform convenience
function.imp_mean(): Compute element-wise mean across
imputations.combine(): Run Rubin’s rules regression across
imputations.overimpute(): Overimputation diagnostic
(mask-and-reimpute RMSE).install_backend(): Install the Python backend into an
isolated environment.
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