discrete.train-class {MLSeq} | R Documentation |
discrete.train
objectThis object is the subclass for the MLSeq.train
class. It contains trained model information for discrete
classifiers such as Poisson Linear Discriminant Analysis (PLDA) and Negative Binomial Linear Discriminant Analysis (NBLDA).
inputs
:a list with elements used as input for classification task.
control
:a list with control parameters for discrete classifiers, e.g. PLDA, PLDA2 and NBLDA.
crossValidatedModel
:a list. It stores the results for cross validation.
finalModel
:a list. This is the trained model with optimum parameters.
tuningResults
:a list. It stores the results for tuning parameter if selected classifier has one or more parameters to be optimized.
callInfo
:a list. call info for selected method.