multivarious (version 0.2.0)

classifier.projector: create classifier from a projector

Description

create classifier from a projector

Usage

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

Value

a classifier object

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.

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]))