A Python package for integrating scikit-learn feature selection with multi-label problem transformation methods.
Project description
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
scikit_ptm_fs-0.1.0.tar.gz
(10.0 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 scikit_ptm_fs-0.1.0.tar.gz.
File metadata
- Download URL: scikit_ptm_fs-0.1.0.tar.gz
- Upload date:
- Size: 10.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
db1af789b3be0f4446da29491a2c9e219dd9c3618d3747a565a1e10983b15f93
|
|
| MD5 |
d3e4e0cec2d8cf7dfcbd522ace10f403
|
|
| BLAKE2b-256 |
d25d08ac6d79a83fbe3634d3e07fa7a4536008c8521184585743f00d433b0811
|
File details
Details for the file scikit_ptm_fs-0.1.0-py3-none-any.whl.
File metadata
- Download URL: scikit_ptm_fs-0.1.0-py3-none-any.whl
- Upload date:
- Size: 13.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ad752bf389e4ec1014030fc36008f156663c2675bef4e1a77cb6ab06c4968715
|
|
| MD5 |
e8fec03e4381020801a29d75f80729b6
|
|
| BLAKE2b-256 |
6e76e3cf190646eb5d336e46aaced3b4eee1f1aef64583d379ec7e6ba3a180dc
|
