predict.lfda {lfda} | R Documentation |
LFDA Transformation/Prediction on New Data
Description
This function transforms a data set, usually a testing set, using the trained LFDA metric
Usage
## S3 method for class 'lfda'
predict(object, newdata = NULL, type = "raw", ...)
Arguments
object |
The result from lfda function, which contains a transformed data and a transforming matrix that can be used for transforming testing set |
newdata |
The data to be transformed |
type |
The output type, in this case it defaults to "raw" since the output is a matrix |
... |
Additional arguments |
Value
the transformed matrix
Author(s)
Yuan Tang
Examples
k <- iris[, -5]
y <- iris[, 5]
r <- 3
model <- lfda(k, y, r = 4, metric = "plain")
predict(model, iris[, -5])
[Package lfda version 1.1.3 Index]