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 |
XGB2List | Transform an xgboost object to a list of trees |
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