Stores the predictions achieved by the best M.L. of each cluster.
new()Method for initializing the object arguments during runtime.
ClusterPredictions$new(class.values, positive.class)class.valuesA character vector containing the values of the target class.
positive.classA character with the value of the positive class.
add()The function is used to add the prediction achieved by a specific M.L. model.
ClusterPredictions$add(prediction)predictionA Prediction object containing the
computed predictions.
get()The function returns the predictions placed at specific position.
ClusterPredictions$get(position)positionA numeric value indicating the position of the predictions to be obtained.
A Prediction object.
getAll()The function returns all the predictions.
ClusterPredictions$getAll()A list containing all computed predictions.
size()The function returns the number of computed predictions.
ClusterPredictions$size()A numeric value.
getPositiveClass()The function gets the value of the positive class.
ClusterPredictions$getPositiveClass()A character vector of size 1.
getClassValues()The function returns all the values of the target class.
ClusterPredictions$getClassValues()A character vector containing all target values.
clone()The objects of this class are cloneable with this method.
ClusterPredictions$clone(deep = FALSE)deepWhether to make a deep clone.
D2MCS, ClassificationOutput,
Prediction