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