tree.interpreter
Random Forest Prediction Decomposition and Feature Importance Measure
An R re-implementation of the 'treeinterpreter' package on PyPI <https://pypi.org/project/treeinterpreter/>. Each prediction can be decomposed as 'prediction = bias + feature_1_contribution + ... + feature_n_contribution'. This decomposition is then used to calculate the Mean Decrease Impurity (MDI) and Mean Decrease Impurity using out-of-bag samples (MDI-oob) feature importance measures based on the work of Li et al. (2019) <doi:10.48550/arXiv.1906.10845>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.3 |
rolling linux/jammy R-4.5 | tree.interpreter_0.1.3.tar.gz |
122.6 KiB |
0.1.3 |
rolling linux/noble R-4.5 | tree.interpreter_0.1.3.tar.gz |
123.9 KiB |
0.1.3 |
rolling source/ R- | tree.interpreter_0.1.3.tar.gz |
27.0 KiB |
0.1.3 |
latest linux/jammy R-4.5 | tree.interpreter_0.1.3.tar.gz |
122.6 KiB |
0.1.3 |
latest linux/noble R-4.5 | tree.interpreter_0.1.3.tar.gz |
123.9 KiB |
0.1.3 |
latest source/ R- | tree.interpreter_0.1.3.tar.gz |
27.0 KiB |
0.1.3 |
2026-04-26 source/ R- | tree.interpreter_0.1.3.tar.gz |
27.0 KiB |
0.1.3 |
2026-04-23 source/ R- | tree.interpreter_0.1.3.tar.gz |
27.0 KiB |
0.1.3 |
2026-04-09 windows/windows R-4.5 | tree.interpreter_0.1.3.zip |
443.1 KiB |
0.1.1 |
2025-04-20 source/ R- | tree.interpreter_0.1.1.tar.gz |
28.3 KiB |