qdscreen
Remove redundancy in your categorical variables and increase your models performance.
qdscreen is a python implementation of the Quasi-determinism screening algorithm from T.Rahier's PhD thesis, 2018.
The documentation for users is available here: https://python-qds.github.io/qdscreen/
A readme for developers is available here: https://github.com/python-qds/qdscreen
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Release files for qdscreen 0.6.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| qdscreen-0.6.4.tar.gz | 62.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| qdscreen-0.6.4-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 86.6 kB
Release files / qdscreen-0.6.4.tar.gz
| Download URL | qdscreen-0.6.4.tar.gz |
|---|---|
| Size | 62.6 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / qdscreen-0.6.4-py2.py3-none-any.whl
| Download URL | qdscreen-0.6.4-py2.py3-none-any.whl |
|---|---|
| Size | 24.0 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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