| Name | Version | Summary | date |
|---|---|---|---|
| mlrl-boomer | 0.10.0 | A scikit-learn implementation of BOOMER - an algorithm for learning gradient boosted multi-label classification rules | 2024-05-05 17:02:39 |
| mlrl-seco | 0.10.0 | A scikit-learn implementation of a separate-and-conquer multi-label rule learning algorithm | 2024-05-05 17:01:59 |
| mlrl-common | 0.10.0 | Provides common modules to be used by different types of multi-label rule learning algorithms | 2024-05-05 17:01:31 |
| mlrl-testbed | 0.10.0 | Provides utilities for the training and evaluation of multi-label rule learning algorithms | 2024-05-05 00:06:13 |
| xcolumns | 0.0.2 | A small library for Consistent Optimization of Label-wise Utilities in Multi-label clasifficatioN | 2024-04-06 23:34:22 |
| hour | day | week | total |
|---|---|---|---|
| 65 | 1788 | 10022 | 214841 |