piwheels

Pratik-model

This package directly gives you output performance on 12 different algorithms

Installation

In a virtualenv (see these instructions if you need to create one):

pip3 install pratik-model

Dependencies

• xgboost
• scikit-learn
• catboost

Releases

Version	Released	Bullseye Python 3.9	Bookworm Python 3.11	Trixie Python 3.13	Files
0.1.6	2024-11-16
Pratik_model-0.1.6-py3-none-any.whl (16 KB)
0.1.5	2024-11-16
Pratik_model-0.1.5-py3-none-any.whl (16 KB)
0.1.4	2024-11-16
Pratik_model-0.1.4-py3-none-any.whl (16 KB)
0.1.3	2024-11-16
0.1.2	2023-06-13
Pratik_model-0.1.2-py3-none-any.whl (16 KB)
0.1.1	2023-04-27
Pratik_model-0.1.1-py3-none-any.whl (16 KB)
0.1.0	2023-03-31
Pratik_model-0.1.0-py3-none-any.whl (16 KB)
0.0.9	2023-03-31
0.0.8	2023-03-31
0.0.7	2023-03-31
0.0.6	2023-03-30
Pratik_model-0.0.6-py3-none-any.whl (16 KB)
0.0.5	2023-03-30
Pratik_model-0.0.5-py3-none-any.whl (16 KB)
0.0.4	2023-03-30
Pratik_model-0.0.4-py3-none-any.whl (16 KB)
0.0.3	2023-03-30
Pratik_model-0.0.3-py3-none-any.whl (15 KB)
0.0.2	2023-03-30
0.0.1	2023-03-30

Issues with this package?

• Search issues for this package
• Package or version missing? Open a new issue
• Something else? Open a new issue