auto_machine_learner: Apply machine learning functions

Description Usage Arguments Value Author(s)

View source: R/machine_learner.R

Description

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

Usage

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auto_machine_learner(
  dataframe,
  aim_variable,
  co_variables,
  method = c("DT", "BDT", "RF")
)

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?

additionalparameters

default = FALSE; list containing additional parameters for the ML procedures / e.g.: list(RF=list(ntree=10000))

Value

list containing the models

Author(s)

Wolfgang Hamer


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