Saabas's Prediction Interpretation Algorithm | MDI in $f_{T, k}(X)$ | MDI-oob in $f_{T, k}(X)$ | MDI and MDI-oob of the forest | Examples | Regression | Classification | References
Package: tree.interpreter 0.1.3
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>.
Authors:
tree.interpreter_0.1.3.tar.gz
tree.interpreter_0.1.3.zip(r-4.7-x86_64)tree.interpreter_0.1.3.zip(r-4.7-arm64)tree.interpreter_0.1.3.zip(r-4.6-x86_64)tree.interpreter_0.1.3.zip(r-4.6-arm64)tree.interpreter_0.1.3.zip(r-4.5-x86_64)
tree.interpreter_0.1.3.tgz(r-4.6-x86_64)tree.interpreter_0.1.3.tgz(r-4.6-arm64)tree.interpreter_0.1.3.tgz(r-4.5-x86_64)tree.interpreter_0.1.3.tgz(r-4.5-arm64)
tree.interpreter_0.1.3.tar.gz(r-4.7-arm64)tree.interpreter_0.1.3.tar.gz(r-4.7-x86_64)tree.interpreter_0.1.3.tar.gz(r-4.6-arm64)tree.interpreter_0.1.3.tar.gz(r-4.6-x86_64)
tree.interpreter_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tree.interpreter/json (API)
| # Install 'tree.interpreter' in R: |
| install.packages('tree.interpreter', repos = c('https://nalzok.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/nalzok/tree.interpreter/issues
data-sciencedatascienceinterpretabilitymachine-learningrandom-forestcpp
Last updated from:a295182b49. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 123 | ||
| linux-devel-x86_64 | OK | 170 | ||
| source / vignettes | OK | 201 | ||
| linux-release-arm64 | OK | 125 | ||
| linux-release-x86_64 | OK | 137 | ||
| macos-release-arm64 | OK | 116 | ||
| macos-release-x86_64 | OK | 309 | ||
| macos-oldrel-arm64 | OK | 119 | ||
| macos-oldrel-x86_64 | OK | 378 | ||
| windows-devel-arm64 | OK | 339 | ||
| windows-devel-x86_64 | OK | 151 | ||
| windows-release-arm64 | OK | 338 | ||
| windows-release-x86_64 | OK | 115 | ||
| windows-oldrel-x86_64 | OK | 110 | ||
| wasm-release | OK | 96 |
Exports:featureContribfeatureContribTreeMDIMDIoobMDIoobTreeMDITreetidyRFtrainsetBiastrainsetBiasTree
Dependencies:RcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Feature Contribution | featureContrib featureContribTree |
| Debiased Mean Decrease in Impurity | MDIoob MDIoobTree |
| Mean Decrease in Impurity | MDI MDITree |
| Tidy Random Forest | tidyRF |
| Trainset Bias | trainsetBias trainsetBiasTree |
| Random Forest Prediction Decomposition and Feature Importance Measure | tree.interpreter |