predict.transDat: Perform the transformation based on predefined settings

In SVMMaj: Implementation of the SVM-Maj Algorithm

Description

Given the input parameters, which are generated from transformdata, it performs the same transformation with the same settings to the given input

Usage

## S3 method for class 'transDat'
predict(x, attrib = NULL, values = NULL,
  standardization = NULL, splineInterval = NULL, splineDegree = NULL)

Arguments

x	a (new) vector of numerics to be transformed
attrib	either a list of settings, or NULL in case the attributes are given as separate input
values	a vector of levels in case x is a factor
standardization	the standardization rules from normalize
splineInterval	the knots to be used for spline basis
splineDegree	the polynomial degree of the splines

Value

a transformed data based on the user defined settings

SVMMaj documentation built on May 2, 2019, 9:58 a.m.