machine_fitter: Apply fitting of machine learning functions

In whamer/papros: PAthogen PROgnosis System

Description

This functions fits one or several machine learning methods on a given dataset

Usage

machine_fitter(
  dataframe,
  aim_variable,
  co_variables,
  method = c("BDT", "RF"),
  splitper = 70
)

Arguments

dataframe	dataframe containing variables of interest
aim_variable	Character string with the name of the aim variable
co_variables	Character string with the name of the co-variables
method	default = c("DT","BDT","RF"); which method should be used: DecisionTree, BoostedDecisionTree and/or RandomForest?
splitper	default = 70; percentage of dataset used for fitting the model

Value

list containing the models

Author(s)

Wolfgang Hamer

whamer/papros documentation built on Feb. 6, 2021, 8:54 a.m.