learn: Supervised Learning
In alstat/face: Face Recognition with PCA.
Description
Usage
Arguments
Examples
Description
Supervised the algorithm to learn from the training data set.
Usage
1
learn(x)
Arguments
x
matrix input of class images; this object contains the imported images
transformed into matrix by importImages function.
Examples
1
2
3
4
5
6
7
library(fr)
imgData <- importImages("~/Documents/Data/jaffe/", display = FALSE)
model <- learn(imgData)
# Display the Eigenfaces
showFace(criterion)
alstat/face documentation built on May 11, 2019, 11:29 p.m.
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Description Usage Arguments Examples
Description
Supervised the algorithm to learn from the training data set.
Usage
1 | learn(x)
|
Arguments
x |
matrix input of class |
Examples
1 2 3 4 5 6 7 | library(fr)
imgData <- importImages("~/Documents/Data/jaffe/", display = FALSE)
model <- learn(imgData)
# Display the Eigenfaces
showFace(criterion)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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