PreProcessingPredict: Preprocess the input for a new set of test objects for...

In RSSL: Implementations of Semi-Supervised Learning Approaches for Classification

Preprocess the input for a new set of test objects for classifier

Description

The following actions are carried out: 1. data.frames are converted to matrix form and labels converted to integers 2. An intercept column is added if requested 3. centering and scaling is applied if requested.

Usage

PreProcessingPredict(modelform, newdata, y = NULL, classnames = NULL,
  scaling = NULL, intercept = FALSE)

Arguments

modelform	Formula object with model
newdata	data.frame object with objects
y	Vector or factor with class assignments (default: NULL)
classnames	Vector with class names
scaling	Apply a given z-transform to the design matrix X (default: NULL)
intercept	Whether to include an intercept in the design matrices

Value

list object with the following objects:

X	design matrix of the labeled data
y	integer vector indicating the labels of the labeled data

RSSL documentation built on March 31, 2023, 7:27 p.m.