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History
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0.1.2 (2024-02-28)
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* RPCA Noisy now has separate fit and transform methods, allowing to impute efficiently new data without retraining
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* The class ImputerRPCA has been splitted between a class ImputerRpcaNoisy, which can fit then transform, and a class ImputerRpcaPcp which can only fit_transform
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* The class SoftImpute has been recoded to better fit the architecture, and is more tested
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* The class RPCANoisy now relies on sparse matrices for H, speeding it up for large instances
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