| Name | Version | Summary | date |
| sklearn-ml |
2.2 |
A light package build on scikit-learn, which is used for machine learning missions.By using it, you could conveniently train and use models at the same time, and do some model comparison. |
2024-04-25 14:40:23 |
| scorecard-generator |
2.2.0 |
A Python Library for Creating Scorecards From Classification Models. |
2024-04-09 22:46:31 |
| seesus |
1.2.1 |
a social, environmental, and economic sustainability classifier based on the UN Sustainable Development Goals |
2024-04-09 20:49:29 |
| feature-engineering |
2.1.4 |
Unleash the Power of Your Data with Feature Engineering: The Ultimate Python Library for Machine Learning Preprocessing and Enhancement |
2024-04-09 02:00:21 |
| deforce |
1.0.0 |
deforce: Derivative-Free Algorithms for Optimizing Cascade Forward Neural Networks |
2024-04-06 15:43:35 |
| qub-sherlock |
2.3.0 |
mine a library of historical and on-going astronomical survey data in an attempt to identify the sources of transient/variable events, and predict their classifications based on crossmatched data |
2023-09-21 12:47:58 |