A Python package for integrating scikit-learn feature selection with multi-label problem transformation methods.
Project description
Scikit-PTM-FS
A modular framework for integrating scikit-learn feature selection with multi-label PTMs.
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
scikit_ptm_fs-0.1.4.tar.gz
(1.9 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-0.1.4.tar.gz.
File metadata
- Download URL: scikit_ptm_fs-0.1.4.tar.gz
- Upload date:
- Size: 1.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c52ed7957b667ddd215dad6dafc791108068c8f4f98a9845303da9bbbd13e602
|
|
| MD5 |
e0fe41e5bf3ecbb3e21c8d9e65c9a0b5
|
|
| BLAKE2b-256 |
86d3a0b338850593b7e39ce4f11ba1f87c54932c9953316cce959759862bcbca
|
File details
Details for the file scikit_ptm_fs-0.1.4-py3-none-any.whl.
File metadata
- Download URL: scikit_ptm_fs-0.1.4-py3-none-any.whl
- Upload date:
- Size: 1.8 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 |
f15aa04459516244d3fccdf58ad5473ee729b606ba00421f7a5452bd5b4d1b27
|
|
| MD5 |
b4c140a1c1d2d25fefa8b83056dab0bb
|
|
| BLAKE2b-256 |
d9ba5c9bfb2cb41b790434f510a005b1f5c0c362a3a9f4f3a363184403a44b53
|