ml.rf {RGeostats}

R Documentation

Regression or Classification using Random Forest

Description

Regression or Classification using Random Forest algorithm. See ranger for more details.

Usage

ml.rf(dbin, dbout, classification = FALSE, auxnames = NA, catnames = NA, 
num.trees = c(100, 500, 1000, 2000), mtry = c(1), probability = FALSE, ...,
verbose = FALSE, radix = NA, modify.target = db.locmod())

Arguments

dbin	The db-class database containing the data
dbout	The db-class database containing the targets
classification	If TRUE, perform a classification (Interest variable should be categorical), otherwise perform a regression.
auxnames	List of optional auxiliary continuous covariables. See details for more information. If empty, only coordinates are used.
catnames	List of optional auxiliary categorical covariables. See details for more information. If empty, only coordinates are used.
num.trees,...	List of num.trees values to be tested for tuning the model. See ranger for details.
mtry	List of mtry values to be tested for tuning the model. See ranger for details.
probability	To be defined.
verbose	Verbose flag
radix	Radix of the name given to the variable storing the results in the target Db.
modify.target	Decides whether or not the newly created variables will have their locator defined or not. For more information, see db.locmod.

Details

The training is based on the following information from 'dbin':

• The coordinates

• The auxiliary continuous variable name(s) (defined in 'auxnames')

• The auxiliary categorical variable name(s) (defined in 'catnames')

• The target variable (first variable with locator 'z')

The prediction is performed in 'dbout'. It requires the following information:

• The coordinates

• The auxiliary continuous variable name(s) (defined in 'auxnames')

• The auxiliary categorical variable name(s) (defined in 'auxnames')

The number of coordinates, as well as the number of auxiliary variables must match between 'dbin' and 'dbout'.

Value

The target Db where the resulting variable has been added.

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