svm-label-ranking
This implementation is inspired of papers:
WestonJ ElisseeffA, ‘Kernel methods for multi-labelled classification and categorical regression problems’, Advances in Neural Information Processing Systems, Cambridge, MA: MITPress, 681, 687, (2002).
Shankar Vembu and Thomas Ga ̈rtner, ‘Label ranking algorithms: A sur- vey’, in Preference learning, 45–64, Springer, (2010).
Version number: 0.0.1
Overview
SVM Label Ranking problem
Installation / Usage
To install use pip:
$ pip install svm-label-ranking
Or clone the repo:
$ git clone https://github.com/salmuz/svm-label-ranking.git $ python setup.py install
Contributing
Zhou Xingjian (from [repository](https://github.com/Kkkassini/classifip/commit/8b5c54860c523ca229af91fac32657b6e8ebbe68))
Yating Deng (from [repository](https://github.com/Kkkassini/classifip/commit/8b5c54860c523ca229af91fac32657b6e8ebbe68))
Example
There are many tests example in the tests folder. * Cross-validation with n-time repetition. * Simpler inference from a data set (by default IRIS).
1 maintainer
Metadata
1 maintainer
Release files for svm-label-ranking 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| svm-label-ranking-0.0.2.tar.gz | 19.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| svm_label_ranking-0.0.2-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 45.4 kB
Release files / svm-label-ranking-0.0.2.tar.gz
| Download URL | svm-label-ranking-0.0.2.tar.gz |
|---|---|
| Size | 19.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
19ae978a8d262479f2f839d6c4a3d2cdd2e371b628502939898a87775f06309b
|
|
BLAKE2b-256 checksum How to use checksums |
39e84a2364ca9c414d3e50adca740f41ed338e136fe6c500fc9538caad9ec35b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.8
|
Release files / svm_label_ranking-0.0.2-py2.py3-none-any.whl
| Download URL | svm_label_ranking-0.0.2-py2.py3-none-any.whl |
|---|---|
| Size | 26.2 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
c0aabc4fd05961149705f296cce4af6def4490f88f5a6c6d8042ac05b119512a
|
|
BLAKE2b-256 checksum How to use checksums |
edb94185710740c5cab5c0b70d72fef2b02e6e28b8b972852c484dd4e00ba834
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.8
|
