summary.MOA_classifier {RMOA} | R Documentation |
Summary statistics of a MOA classifier
Description
Summary statistics of a MOA classifier
Usage
## S3 method for class 'MOA_classifier'
summary(object, ...)
Arguments
object |
an object of class |
... |
other arguments, currently not used yet |
Value
the form of the return value depends on the type of MOA model
Examples
hdt <- HoeffdingTree(numericEstimator = "GaussianNumericAttributeClassObserver")
hdt
data(iris)
iris <- factorise(iris)
irisdatastream <- datastream_dataframe(data=iris)
## Train the model
hdtreetrained <- trainMOA(model = hdt,
Species ~ Sepal.Length + Sepal.Width + Petal.Length + Petal.Width,
data = irisdatastream)
summary(hdtreetrained$model)
[Package RMOA version 1.1.0 Index]