constructData: Construction and Handling of 'CVST.data' Objects

Description Usage Arguments Value Author(s) Examples

View source: R/util.R

Description

The CVST methods needs a structured interface to both regression and classification data sets. These helper methods allow the construction and consistence handling of these types of data sets.

Usage

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Arguments

x

The feature data as vector or matrix.

y

The observed values (regressands/labels) as list, vector or factor.

data

A CVST.data object generated via constructData.

subset

A index set.

Value

constructData returns a CVST.data object. getN returns the number of data points in the data set. getSubset returns a subset of the data as a CVST.data object, while getX just return the feature data. shuffleData returns a randomly shuffled instance of the data.

Author(s)

Tammo Krueger <tammokrueger@googlemail.com>

Examples

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nsine = noisySine(10)
isClassification(nsine)
isRegression(nsine)
getN(nsine)
getX(nsine)
nsineShuffeled = shuffleData(nsine)
getX(nsineShuffeled)
getSubset(nsineShuffeled, 1:3)

CVST documentation built on May 2, 2019, 3:43 p.m.