orthoMTL
Multi-Task Learning with Orthogonal Constraints
Fits regularised multi-task learning models where relationships between tasks are controlled via orthogonality or disjoint-support constraints. Supports regression, binary classification, and censored survival data. In survival mode, time-to-event outcomes are converted into binary labels at user-defined thresholds, enabling the discovery of features with time-varying effects that standard proportional-hazards models cannot detect. Implements the penalty described in Vervier et al. (2014) <https://hal.science/hal-00985654>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | orthoMTL_0.1.0.tar.gz |
218.9 KiB |
0.1.0 |
rolling linux/noble R-4.5 | orthoMTL_0.1.0.tar.gz |
218.8 KiB |
0.1.0 |
rolling source/ R- | orthoMTL_0.1.0.tar.gz |
114.4 KiB |
0.1.0 |
latest linux/jammy R-4.5 | orthoMTL_0.1.0.tar.gz |
218.9 KiB |
0.1.0 |
latest linux/noble R-4.5 | orthoMTL_0.1.0.tar.gz |
218.8 KiB |
0.1.0 |
latest source/ R- | orthoMTL_0.1.0.tar.gz |
114.4 KiB |
0.1.0 |
2026-04-23 source/ R- | orthoMTL_0.1.0.tar.gz |
0 B |