Man pages for ParallelForest
Random Forest Classification with Parallel Computing

accessors.forestAccessor method for forest class
easy_2var_dataEasy to fit dataset for decision trees
forest-classClass '"forest"'
grow.forestGrowing random decision forest classifier
low_high_earnersLow earners and high earners, training dataset
low_high_earners_testLow earners and high earners, testing dataset
predict.forestPredict method for random decision forest classifier fits
ParallelForest documentation built on May 29, 2017, 5:45 p.m.