classifier.projector: create 'classifier' from a 'projector'

In bbuchsbaum/multivarious: Extensible Data Structures for Multivariate Analysis

create classifier from a projector

Description

create classifier from a projector

Usage

## S3 method for class 'projector'
classifier(x, colind = NULL, labels, new_data, knn = 1, ...)

Arguments

x	A model object, such as a projector, that has been fit to a training dataset.
colind	Optional vector of column indices used for prediction. If not provided, all columns will be used.
labels	the labels associated with the rows of the projected data (see new_data)
new_data	reference data associated with labels and to be projected into subspace (required).
knn	the number of nearest neighbors to use when classifying a new point.
...	Additional arguments to be passed to the specific model implementation of classifier.

Value

a classifier object

See Also

Other classifier: classifier.multiblock_biprojector()

Examples

data(iris)
X <- iris[,1:4]
pcres <- pca(as.matrix(X),2)
cfier <- classifier(pcres, labels=iris[,5], new_data=as.matrix(iris[,1:4]))
p <- predict(cfier, as.matrix(iris[,1:4]))

bbuchsbaum/multivarious documentation built on April 15, 2024, 3:33 a.m.