A Python package for an ensemble regressor combining multiple regression models.
Project description
ensemble_regressor_by_mgolec
A Python package for an ensemble regressor combining multiple regression models.
Installation
$ pip install ensemble_regressor_by_mgolec
Usage
To use the ensemble_regressor_by_mgolec package, follow the steps below:
1. Import the Package
TODO
Contributing
Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.
License
ensemble_regressor_by_mgolec was created by mgolec. It is licensed under the terms of the MIT license.
Credits
ensemble_regressor_by_mgolec was created with cookiecutter and the py-pkgs-cookiecutter template.
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
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 ensemble_regressor_by_mgolec-0.1.0.tar.gz.
File metadata
- Download URL: ensemble_regressor_by_mgolec-0.1.0.tar.gz
- Upload date:
- Size: 2.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.3 CPython/3.12.0 Windows/11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4f5395c7a467cc9096fe0445bb7cd7ac22fbb7ea82fb1fc253c4a04122fe9a65
|
|
| MD5 |
19b080ef17e4133c2b1a4e324cb9da43
|
|
| BLAKE2b-256 |
f9b407003f399b24c6fcf6590e68567161af5ce81439aeacbabc75fd737f981c
|
File details
Details for the file ensemble_regressor_by_mgolec-0.1.0-py3-none-any.whl.
File metadata
- Download URL: ensemble_regressor_by_mgolec-0.1.0-py3-none-any.whl
- Upload date:
- Size: 3.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.3 CPython/3.12.0 Windows/11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
07fe54e72455698781eb1b7faec397794b0468bc3eba530a2b8702f7973972a3
|
|
| MD5 |
deadd8e74944b20204cb995a29a3ae9a
|
|
| BLAKE2b-256 |
8fb868f763269287a638334821a413f62f353e154e4473a68598235ccae21807
|
