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-0.1.6.tar.gz
(10.5 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-0.1.6.tar.gz.
File metadata
- Download URL: scikit_ptm_fs-0.1.6.tar.gz
- Upload date:
- Size: 10.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
30c98ebaa6c41f697548f5dfb8161c9415296882fb3e3871f5fde4952efff844
|
|
| MD5 |
e74f7ae886ed2b76752469f6aa53ff2c
|
|
| BLAKE2b-256 |
c5dc7f20c2d0151fd292baafe9d542b3183eb712e8e97641799e941f160d1e66
|
File details
Details for the file scikit_ptm_fs-0.1.6-py3-none-any.whl.
File metadata
- Download URL: scikit_ptm_fs-0.1.6-py3-none-any.whl
- Upload date:
- Size: 13.7 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 |
ca863fdc77ff30cb802c4eb745b2b1e3ae9dab5f6a146434bf45718aabf7fd6b
|
|
| MD5 |
b7f5997292d3fae2644dcc28d6964c60
|
|
| BLAKE2b-256 |
39f866d03cc5a1008c1c7158fd1199173bce805a24ad5bdd8f533f863532a388
|
