| classifOutput-class {MLInterfaces} | R Documentation |
container with uniform contents for classifier outputs
Objects can be created by calls of the form new("classifOutput", ...).
These objects include label vectors for test set elements, scores on labeling
events, call history information, native classifier object access,
and a distance matrix for test set feature vectors.
method:"character" tag identifying
classification method in use predLabels:"MLLabel" vector
of labels predicted for test cases predScores:"MLScore" structure
of scores on classification events (for example, vote proportions
or fitted probabilities of class membership
call:"call" call engendering the
classifOutput object classifRobject:"ANY" fitted model
object distMat:"dist" distance matrix
of test set feature vectors signature(object = "classifOutput"): ... signature(out = "classifOutput"): ... VJ Carey <stvjc@channing.harvard.edu>