A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
Contact
If you have any questions or comments about scikit-MDR, please feel free to contact us via:
E-mail: rso@randalolson.com
or Twitter: https://twitter.com/randal_olson
This project is hosted at https://github.com/EpistasisLab/scikit-mdr
Release files for scikit-MDR 0.4.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| scikit_mdr-0.4.6.tar.gz | 13.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scikit_mdr-0.4.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 28.5 kB
Release files / scikit_mdr-0.4.6.tar.gz
| Download URL | scikit_mdr-0.4.6.tar.gz |
|---|---|
| Size | 13.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.9.23
|
Release files / scikit_mdr-0.4.6-py3-none-any.whl
| Download URL | scikit_mdr-0.4.6-py3-none-any.whl |
|---|---|
| Size | 15.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.9.23
|
