Classification using Canonical Discriminant Analysis
This function builds a classification model using Canonical Discriminant Analysis.
CDA(train, labels, tune = FALSE, ...)
train |
The training set (description), as a |
labels |
Class labels of the training set ( |
tune |
If true, the function returns paramters instead of a classification model. |
... |
Other parameters. |
The classification model, as an object of class glmnet
.
require (datasets) data (iris) CDA (iris [, -5], iris [, 5])
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