| Name | Version | Summary | date |
|---|---|---|---|
| mlrl-testbed | 0.12.2 | Provides utilities for the training and evaluation of machine learning algorithms | 2025-07-31 22:03:18 |
| mlrl-seco | 0.12.2 | A scikit-learn implementation of a Separate-and-Conquer (SeCo) multi-label rule learning algorithm | 2025-07-31 22:02:58 |
| mlrl-common | 0.12.2 | Provides common modules to be used by different types of multi-label rule learning algorithms | 2025-07-31 22:02:37 |
| mlrl-boomer | 0.12.2 | A scikit-learn implementation of BOOMER - an algorithm for learning gradient boosted multi-label output rules | 2025-07-31 22:02:15 |
| 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 |
|---|---|---|---|
| 73 | 1731 | 10459 | 305714 |