applyLearner

<p>a matrix with rules ordered by priority</p>

learner

<p>apply STEL to data and get predictions
</p>

 predict

 apply 

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.  Reference: Interpreting tree ensembles with inTrees (Houtao Deng, 2019, <doi:10.1007/s41060-018-0144-8>).

Houtao Deng

inTrees

Interpret Tree Ensembles

Xin Guan

Vadim Khotilovich

applyLearner function

apply a simplified tree ensemble learner (STEL) to data — applyLearner

apply a simplified tree ensemble learner (STEL) to data

applyLearner: apply a simplified tree ensemble learner (STEL) to data

Description

Usage

Arguments

Value

See Also