An efficient, refactored, and modernized implementation of the Boruta-Shap feature selection algorithm. Scikit-learn compatible and performance-optimized.
Project description
The author of this package has not provided a project description
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
borutashap_v2-0.1.0.tar.gz
(5.3 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file borutashap_v2-0.1.0.tar.gz.
File metadata
- Download URL: borutashap_v2-0.1.0.tar.gz
- Upload date:
- Size: 5.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3b1b2eef25e86e687c66cbfc31c0584a1f5fb2da99bb7497534797c58084cc5d
|
|
| MD5 |
b12284ce6f97a94064719392f7283463
|
|
| BLAKE2b-256 |
ede4684006ee8cfef23fcb188dd862e3a3abf467e55302ac2fa778d3e8cccde5
|
File details
Details for the file borutashap_v2-0.1.0-py3-none-any.whl.
File metadata
- Download URL: borutashap_v2-0.1.0-py3-none-any.whl
- Upload date:
- Size: 5.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
93a856e03bce2a2c02f6e86820761517c99c0daee5ce5ac292aaf3d8f9c04355
|
|
| MD5 |
fde44fe343d5864b458c3e1883a0050c
|
|
| BLAKE2b-256 |
6490ab329c63a37ceb9e8693c4fe0d282d4f71fb1a348188b26f03952d906a47
|