View source: R/DSClassifier_SlidingWindow.R
DSClassifier_SlidingWindow | R Documentation |
The classifier keeps a sliding window for the stream and rebuilds a classification model at regular
intervals. By default is builds a decision tree using rpart()
.
DSClassifier_SlidingWindow(formula, model = rpart::rpart, window, rebuild, ...)
formula |
a formula for the classification problem. |
model |
classifier model (that has a formula interface). |
window |
size of the sliding window. |
rebuild |
interval (number of points) for rebuilding the classifier. Set rebuild to
|
... |
additional parameters are passed on to the classifier (default is |
This constructor creates classifier based on DST_SlidingWindow
. The classifier has
a update()
and predict()
method.
An object of class DST_SlidingWindow
.
Michael Hahsler
Other DSClassifier:
DSClassifier()
library(stream) # create a data stream for the iris dataset data <- iris[sample(nrow(iris)), ] stream <- DSD_Memory(data) # define the stream classifier. cl <- DSClassifier_SlidingWindow( Species ~ Sepal.Length + Sepal.Width + Petal.Length, window = 50, rebuild = 10 ) cl # update the classifier with 100 points from the stream update(cl, stream, 100) # predict the class for the next 50 points newdata <- get_points(stream, n = 50) pr <- predict(cl, newdata, type = "class") pr table(pr, newdata$Species) # get the tree model get_model(cl)
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