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
- Focal Loss
- Squared Log Error
- Log Cosh Loss
- F1 score
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
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 bokbokbok-0.2.tar.gz.
File metadata
- Download URL: bokbokbok-0.2.tar.gz
- Upload date:
- Size: 5.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e8f1ba5cc19523621d62a89d9b069dd2305bcbfb80f4fdb8eded37473a3f708f
|
|
| MD5 |
6482fb3170a71a375524f0b83040217a
|
|
| BLAKE2b-256 |
4a788f24999be147c0df71bc40a0ce09d25277676784b05c94deb1bb96eae5d1
|
File details
Details for the file bokbokbok-0.2-py3-none-any.whl.
File metadata
- Download URL: bokbokbok-0.2-py3-none-any.whl
- Upload date:
- Size: 8.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
91972638e738c1af7e5f769d93246b6b3527c26f6507e88a2a7102f1513f24a5
|
|
| MD5 |
a644e6f9b6822776f4da85e441a6676d
|
|
| BLAKE2b-256 |
e1f63f7579cd437a2267add87949c15e0447378bde7851923187be20ba8a71d6
|
