forest: Train h2o rf model. negDT if you want own samples for that

In Roleren/uORFomePipe: uORF prediction in R

Train h2o rf model. negDT if you want own samples for that

Description

Train h2o rf model. negDT if you want own samples for that

Usage

forest(dt, cv = 10, ntrees = 64, ip, port, nthreads_h2o, max_mem_size)

Arguments

dt	data.table of features to train on
cv	numeric, default 10, number of cross validations
ntrees	numeric, default 64, number of trees for random forest
ip	h2o cluster ip, default: "localhost".
port	h2o cluster port, default: 54321
nthreads_h2o	number of cores for H20. Default: max(min(45, as.integer(BiocParallel::bpparam()$workers/2)), 1)
max_mem_size	max allowed memory for H20: default ("200G")

Roleren/uORFomePipe documentation built on Jan. 14, 2024, 5:11 a.m.