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History
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0.1.7 (2024-06-13)
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* Little's test implemented in a new hole_characterization module
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* Documentation now includes an analysis section with a tutorial
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* Hole generators now provide reproducible outputs
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0.1.5 (2024-04-17)
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* CICD now relies on Node.js 20
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* New tests for comparator.py and data.py
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0.1.4 (2024-04-15)
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* ImputerMean, ImputerMedian and ImputerMode have been merged into ImputerSimple
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* File preprocessing.py added with classes new MixteHGBM, BinTransformer, OneHotEncoderProjector and WrapperTransformer providing tools to manage mixed types data
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* Tutorial plot_tuto_categorical showcasing mixed type imputation
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* Titanic dataset added
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* accuracy metric implemented
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* metrics.py rationalized, and split with algebra.py
[7] Botterman, HL., Roussel, J., Morzadec, T., Jabbari, A., Brunel, N. "Robust PCA for Anomaly Detection and Data Imputation in Seasonal Time Series" (2022) in International Conference on Machine Learning, Optimization, and Data Science. Cham: Springer Nature Switzerland, (`pdf <https://link.springer.com/chapter/10.1007/978-3-031-25891-6_21>`__)
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