inTrees: Interpret Tree Ensembles
Version 1.1

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.

Browse man pages Browse package API and functions Browse package files

AuthorHoutao Deng
Date of publication2014-07-25 07:42:10
MaintainerHoutao Deng <softwaredeng@gmail.com>
LicenseGPL (>= 3)
Version1.1
URL https://sites.google.com/site/houtaodeng/intrees
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("inTrees")

Man pages

applyLearner: apply a simplified tree ensemble learner (STEL) to data
buildLearner: build a simplified tree ensemble learner (STEL)
computeRuleInfor: compute rule information
dataSimulate: Simulate data
dicretizeVector: discretize a variable
extractRules: Extract rules from a list of trees
formatGBM: internal
GBM2List: Transform gbm object to a list of trees
getFreqPattern: calculate frequent variable interactions
getRuleMetric: Assign outcomes to a conditions, and measure the rules
getTypeX: get type of each variable
lookupRule: internal
measureRule: internal
Num2Level: internal function
presentRules: Present a learner using column names instead of X[i,]
pruneRule: Prune irrevant variable-value pair from a rule condition
pruneSingleRule: internal
RF2List: Transform a random forest object to a list of trees
rule2Table: internal function
ruleList2Exec: internal
selectRuleRRF: select a set of relevant and non-redundant rules
singleRuleList2Exec: internal
sortRule: internal
treeVisit: internal function
voteAllRules: internal

Functions

GBM2List Man page Source code
Num2Level Man page Source code
RF2List Man page Source code
applyLearner Man page Source code
buildLearner Man page Source code
computeRuleInfor Man page Source code
dataSimulate Man page Source code
dicretizeVector Man page Source code
extractRules Man page Source code
formatGBM Man page Source code
getFreqPattern Man page Source code
getRuleMetric Man page Source code
getTypeX Man page Source code
lookupRule Man page Source code
measureRule Man page Source code
presentRules Man page Source code
pruneRule Man page Source code
pruneSingleRule Man page Source code
rule2Table Man page Source code
ruleList2Exec Man page Source code
selectRuleRRF Man page Source code
singleRuleList2Exec Man page Source code
sortRule Man page Source code
treeVisit Man page Source code
voteAllRules Man page Source code

Files

NAMESPACE
NEWS
R
R/getTypeX.R
R/measureRule.R
R/getRuleMetric.R
R/dicretizeVector.R
R/treeVisit.R
R/RF2List.R
R/dataSimulate.R
R/getFreqPattern.R
R/rule2Table.R
R/singleRuleList2Exec.R
R/pruneSingleRule.R
R/presentRules.R
R/Num2Level.R
R/lookupRule.R
R/GBM2List.R
R/buildLearner.R
R/applyLearner.R
R/extractRules.R
R/selectRuleRRF.R
R/inTrees-internal.R
R/voteAllRules.R
R/sortRule.R
R/formatGBM.R
R/computeRuleInfor.R
R/pruneRule.R
R/ruleList2Exec.R
MD5
DESCRIPTION
man
man/extractRules.Rd
man/RF2List.Rd
man/selectRuleRRF.Rd
man/lookupRule.Rd
man/formatGBM.Rd
man/computeRuleInfor.Rd
man/getRuleMetric.Rd
man/ruleList2Exec.Rd
man/dicretizeVector.Rd
man/voteAllRules.Rd
man/GBM2List.Rd
man/buildLearner.Rd
man/rule2Table.Rd
man/measureRule.Rd
man/sortRule.Rd
man/dataSimulate.Rd
man/pruneRule.Rd
man/pruneSingleRule.Rd
man/getTypeX.Rd
man/treeVisit.Rd
man/presentRules.Rd
man/applyLearner.Rd
man/Num2Level.Rd
man/singleRuleList2Exec.Rd
man/getFreqPattern.Rd
inTrees documentation built on May 29, 2017, 2:54 p.m.