| Name | Version | Summary | date |
|---|---|---|---|
| autolrtuner | 1.0.2 | Heuristically optimize learning rates in neural networks through subsampling loss differentials. | 2024-12-20 11:02:15 |
| opda | 0.7.0 | Design and analyze optimal deep learning models. | 2024-11-12 05:58:19 |
| mltb2 | 1.0.1 | Machine Learning Toolbox 2 | 2024-10-22 07:19:40 |
| featuristic | 1.1.0 | Genetic algorithms for automated feature engineering and feature selection | 2024-04-10 14:40:08 |
| 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 |
| hour | day | week | total |
|---|---|---|---|
| 13 | 1078 | 9534 | 274504 |