ranger_classification: Run ranger with parameters of data.frame rows.

In RJ333/phyloseq2ML: Connects Phyloseq To Ranger And Keras

Description

This functions calls ranger using the parameter values in each row of the provided master_grid, using the data of the list elements. Please have a look at the [ranger doc](https://cran.r-project.org/web/packages/ranger/ranger.pdf) for explanation on the ranger related variables, the arguments are beginning with "ranger" in the description. Except for 'the list', 'master_grid' and '.row' all arguments need to be column names of 'master_grid'

Usage

ranger_classification(
  master_grid,
  Target,
  ML_object,
  Cycle,
  Number_of_trees,
  Mtry_factor,
  .row,
  the_list,
  step,
  ...
)

Arguments

master_grid	the data frame containing all parameter combinations
Target	char, the response variable
ML_object	factor or char, the name of the corresponding 'the_list' item
Cycle	integer, the current repetition
Number_of_trees	ranger, integer, number of trees per forest
Mtry_factor	ranger, factor to multiply default ranger mtry argument
.row	current row of master_grid
the_list	The input tables list
step	character declaring 'training' or 'prediction'
...	further parameters passed on to subfunctions

Value

a data frame with results and metrics for each row of the master_grid

RJ333/phyloseq2ML documentation built on June 2, 2020, 9:25 p.m.