1.3.0 Release 🌈

Features

• Add support for cupy & cuml (#23) @Zethson
• Add GPU CI (#15) @Zethson
• Add support for 3D imputation (#14) @Zethson
• Require Python 3.12+ (#13) @Zethson

1.2.0 Release

• When given a dataset to impute, the imputer will check if a big enough index can be built. If not, it will temporarily exclude enough features to reach this threshold and try again. If an index still can't be built, it will use fallbacks values as defined by the user strategy.
• The "big enough index" is decided by threshold that can be passed when constructing the imputer.
• The imputation will be performed again for any feature that was left behind in the previous step, making the process iterative.
• Use fallback strategy for extremely sparse data where data is simply (= mean/median) imputed if an index can't be built at all.

1.0.0

1.0.0

Added

• First implementation of FaissImputer
• mean, median, weighted strategies