implementRF: Build random forest model

In dulvrq/ddl8s1ts: Map forest disturbance using Landsat 8 and Sentinel-1

Description

Build a RF model using caret and save result in a subfolder.

Usage

implementRF(
  dt_train,
  dt_test,
  dir_rf = NULL,
  name_rdata = NULL,
  do_prallel = T,
  max_cores
)

Arguments

dt_train	dataframe. Training data for RF. Reference col should be 'manual'.
dt_test	dataframe. Test data for RF. This should have the same columns as dt_train.
dir_rf	a directory to save the result of RF. If NULL, a subfolder will be automatically generated.
name_rdata	filefame for saving the RF result. If NULL, name will be automatically generated.
do_prallel	logical. If TRUE, use parallel process to tune RF.
max_cores	numeric. Maximum numbers of cores used for parallel processing.

Value

a list of the results of RF modeling. Rdata file is saved in a subfolder.

dulvrq/ddl8s1ts documentation built on May 2, 2021, 5:18 a.m.