Amputation is the opposite of imputation; it is the creation of a missing data mask for complete datasets. Amputation is useful for evaluating the effect of missing values on the outcome of a statistical or machine learning model. pyampute is the first open-source Python library for data amputation. Our package is compatible with the scikit-learn-style fit and transform paradigm, which allows for seamless integration of amputation in a larger, more complex data processing pipeline.
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Release files for pyampute 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| pyampute-0.0.3.tar.gz | 20.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyampute-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 40.9 kB
Release files / pyampute-0.0.3.tar.gz
| Download URL | pyampute-0.0.3.tar.gz |
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| Size | 20.3 kB |
| Tags | Source |
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Release files / pyampute-0.0.3-py3-none-any.whl
| Download URL | pyampute-0.0.3-py3-none-any.whl |
|---|---|
| Size | 20.7 kB |
| Tags | Python 3 |
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