Custom Losses and Metrics for XGBoost, LightGBM, CatBoost
Project description
bokbokbok
Overview
bokbokbok is a python package that enables you to use Custom Loss Functions and Evaluation Metrics for XGBoost and LightGBM. Main features:
- Weighted Cross Entropy
- Weighted Focal Loss
- Log Cosh Loss
- Root Mean Squared Percentage Error
- F1 score
- Quadratic Weighted Kappa
Installation
pip install bokbokbok
Documentation
The documentation can be found here.
Contributing
To learn more about making a contribution to bokbokbok, please see CONTRIBUTING.md.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
bokbokbok-0.6.1.tar.gz
(7.4 kB
view details)
Built Distribution
bokbokbok-0.6.1-py3-none-any.whl
(10.9 kB
view details)
File details
Details for the file bokbokbok-0.6.1.tar.gz.
File metadata
- Download URL: bokbokbok-0.6.1.tar.gz
- Upload date:
- Size: 7.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 053d2e1bf701b562b67e43c45da140c3e4b8484fcf0cc37158ac0da83775b92e |
|
| MD5 | a70a7b0a22325fed7fdfdbdbd025e9c2 |
|
| BLAKE2b-256 | 10d29236a8ca6809ad72087b6eff8b34b5caea695aa0dd2772150b1b40c1dfe4 |
File details
Details for the file bokbokbok-0.6.1-py3-none-any.whl.
File metadata
- Download URL: bokbokbok-0.6.1-py3-none-any.whl
- Upload date:
- Size: 10.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 026659db27e0f54afc9f0fa1107c254a06acae736a22260c3abb7bd9a0a4dca4 |
|
| MD5 | 00efad05099a8b9d5cbff48bca1188ee |
|
| BLAKE2b-256 | 9ac41384fdbe82e69836713feb92e230345d11dff31322392d3e03bd493c10a0 |
