Other packages > Find by keyword >

tree.interpreter  

Random Forest Prediction Decomposition and Feature Importance Measure
View on CRAN: Click here


Download and install tree.interpreter package within the R console
Install from CRAN:
install.packages("tree.interpreter")

Install from Github:
library("remotes")
install_github("cran/tree.interpreter")

Install by package version:
library("remotes")
install_version("tree.interpreter", "0.1.1")



Attach the package and use:
library("tree.interpreter")
Maintained by
Qingyao Sun
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-10-30
Latest Update: 2020-02-05
Description:
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>.
How to cite:
Qingyao Sun (2019). tree.interpreter: Random Forest Prediction Decomposition and Feature Importance Measure. R package version 0.1.1, https://cran.r-project.org/web/packages/tree.interpreter. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.0 (2019-10-30 18:40)
Other packages that cited tree.interpreter R package
View tree.interpreter citation profile
Other R packages that tree.interpreter depends, imports, suggests or enhances
Complete documentation for tree.interpreter
Functions, R codes and Examples using the tree.interpreter R package
Some associated functions: MDI . MDIoob . featureContrib . tidyRF . trainsetBias . tree.interpreter . 
Some associated R codes: MDI.R . MDIoob.R . RcppExports.R . featureContrib.R . tidyRF.R . trainsetBias.R . zzz.R .  Full tree.interpreter package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

pkgdepends  
Package Dependency Resolution and Downloads
Find recursive dependencies of 'R' packages from various sources. Solve the dependencies to obtain ...
Download / Learn more Package Citations See dependency  
deductive  
Data Correction and Imputation Using Deductive Methods
Attempt to repair inconsistencies and missing values in data records by using information from vali ...
Download / Learn more Package Citations See dependency  
SCBiclust  
Identifies Mean, Variance, and Hierarchically Clustered Biclusters
Identifies a bicluster, a submatrix of the data such that the features and observations within the s ...
Download / Learn more Package Citations See dependency  
RcppHNSW  
'Rcpp' Bindings for 'hnswlib', a Library for Approximate Nearest Neighbors
'Hnswlib' is a C++ library for Approximate Nearest Neighbors. This package provides a minimal R int ...
Download / Learn more Package Citations See dependency  
crossrun  
Joint Distribution of Number of Crossings and Longest Run
Joint distribution of number of crossings and the longest run in a series of independent Bernoulli ...
Download / Learn more Package Citations See dependency  
kgschart  
KGS Rank Graph Parser
Restore underlining numeric data from rating history graph of KGS (an online platform of the game o ...
Download / Learn more Package Citations See dependency  

23,229

R Packages

199,929

Dependencies

62,984

Author Associations

23,230

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA