Categorical feature selection based on information theoretical considerations
Project description
Implementation of the fast correlation-based filter (FCBF) proposed by Yu and Liu:
@inproceedings{inproceedings, author = {Yu, Lei and Liu, Huan}, year = {2003}, month = {01}, pages = {856-863}, title = {Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution}, volume = {2}, journal = {Proceedings, Twentieth International Conference on Machine Learning} }
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
fcbf-0.1.2.tar.gz
(4.9 kB
view details)
Built Distribution
fcbf-0.1.2-py3-none-any.whl
(5.8 kB
view details)
File details
Details for the file fcbf-0.1.2.tar.gz
.
File metadata
- Download URL: fcbf-0.1.2.tar.gz
- Upload date:
- Size: 4.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.2 CPython/3.11.8 Windows/10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2bc8761a7bb757163f19eebd087a15fb24d62ba30627aa6b7ffcc192a05c714d |
|
MD5 | 7fd67deba9289c97dbf857c6edbc6a23 |
|
BLAKE2b-256 | 290263659a194d3b198a4c61cf367069b34d99aba3c71cdfbc2d77b83e777fde |
File details
Details for the file fcbf-0.1.2-py3-none-any.whl
.
File metadata
- Download URL: fcbf-0.1.2-py3-none-any.whl
- Upload date:
- Size: 5.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.2 CPython/3.11.8 Windows/10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5da69de575e4994b72cc9acbaa6c443dfba9e86184a32615578f1e671df71f7c |
|
MD5 | a8d7fcbff75d564e2b038d943f0edcc3 |
|
BLAKE2b-256 | fd1b7431e17b05fbbe0f78d187fddc62cb25bbb0299d4e55d0b952d4f6207704 |