TreeBoostler is a transfer learning method that transfer statistical relational models learned through gradient-boosting approach.
boostsrl is a Python package with wrappers for creating background knowledge and performing learning and inference. We used a modification of the original boostsrl package to work with a BoostSRL modification that allows the algorithm to learn parameters and perform refinement on given trees, as well transfer learning. It runs the transfer learning/theory revision modification of the BoostSRL developed in the following repositories:
https://github.com/rodrigoazs/BoostSRL
https://github.com/rodrigoazs/boostsrl-python-package
- Java 1.8
- Python (2.7, 3.3, 3.4, 3.5, 3.6)
- subprocess32 (if using Python 2.7:
pip install subprocess32) - graphviz-0.8
- Run the experiments on transfer_experiment.py or learning_curve.py