MIDAS2
Implementation of MIDAS in PyTorch. See Lall and Robinson (2022) for the original paper.
In addition to migrating to torch, this new version adds the following functionality:
- Models can be fit on
Xand used to impute on new dataX' - Automatic detection of column-types
Example usage
MIDAS2 follows the sklearn API, with fit and transform methods of an imputer object.
from midas2 import MIDAS
# Create a MIDAS model
mod = MIDAS()
# Fit the model to data
mod.fit(X, epochs = 10)
# Multiply impute missing data
X_imputed = mod.transform(m = 10)
CHANGELOG
- Alpha release including combination rules function (26/06/2025)
- Renamed the main module from 'MIDAS2' to 'model' (19/12/2024)
- Restructured the package for easier install (19/12/2024)
1 maintainer
Metadata
1 maintainer
Release files for midasverse-midas 0.3.1
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