View source: R/Classification.R
summary.MOA_classifier | R Documentation |
Summary statistics of a MOA classifier
## S3 method for class 'MOA_classifier' summary(object, ...)
object |
an object of class |
... |
other arguments, currently not used yet |
the form of the return value depends on the type of MOA model
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)
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