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inTrees (version 1.2)

Interpret Tree Ensembles

Description

For tree ensembles such as random forests, regularized random forests and gradient boosted trees, this package provides functions for: extracting, measuring and pruning rules; selecting a compact rule set; summarizing rules into a learner; calculating frequent variable interactions; formatting rules in latex code.

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Version

Install

install.packages('inTrees')

Monthly Downloads

520

Version

1.2

License

GPL (>= 3)

Maintainer

Houtao Deng

Last Published

March 12th, 2018

Functions in inTrees (1.2)

selectRuleRRF

select a set of relevant and non-redundant rules
ruleList2Exec

internal
measureRule

internal
getFreqPattern

calculate frequent variable interactions
treeVisit

internal function
sortRule

internal
voteAllRules

internal
singleRuleList2Exec

internal
extractRules

Extract rules from a list of trees
dataSimulate

Simulate data
buildLearner

build a simplified tree ensemble learner (STEL)
Num2Level

internal function
dicretizeVector

discretize a variable
applyLearner

apply a simplified tree ensemble learner (STEL) to data
XGB2List

Transform an xgboost object to a list of trees
GBM2List

Transform gbm object to a list of trees
computeRuleInfor

compute rule information
presentRules

Present a learner using column names instead of X[i,]
getTypeX

get type of each variable
getRuleMetric

Assign outcomes to a conditions, and measure the rules
rule2Table

internal function
pruneSingleRule

internal
lookupRule

internal
formatGBM

internal
RF2List

Transform a random forest object to a list of trees
pruneRule

Prune irrevant variable-value pair from a rule condition