Adieu, sprm package!
The sprm package has been sunset and will no longer be updated.
Its contents have migrated into the direpack package:
The sprm package in this final version will still stay live for a while for backwards compatibility.
How to install
The package is distributed through PyPI, so install through:
pip install sprm
Documentation
Detailed documentation on how to use the classes is provided in the Documentation file.
Examples
For examples, please have a look at the SPRM Examples Notebook.
References
- Sparse partial robust M regression, Irene Hoffmann, Sven Serneels, Peter Filzmoser, Christophe Croux, Chemometrics and Intelligent Laboratory Systems, 149 (2015), 50-59.
- Partial robust M regression, Sven Serneels, Christophe Croux, Peter Filzmoser, Pierre J. Van Espen, Chemometrics and Intelligent Laboratory Systems, 79 (2005), 55-64.
- Sparse and robust PLS for binary classification, I. Hoffmann, P. Filzmoser, S. Serneels, K. Varmuza, Journal of Chemometrics, 30 (2016), 153-162.
Release Notes can be checked out in the repository.
1 maintainer
Metadata
1 maintainer
Release files for sprm 0.7.1
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| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| sprm-0.7.1-py3-none-any.whl | Python 3 | none | any | Details for sprm-0.7.1-py3-none-any.whl |
Release files / sprm-0.7.1-py3-none-any.whl
| Download URL | sprm-0.7.1-py3-none-any.whl |
|---|---|
| Size | 29.1 kB |
| Tags | Python 3 |
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