discrete.train-class: 'discrete.train' object

In dncR/MLSeq: Machine Learning Interface for RNA-Seq Data

Description

This 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).

Slots

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.

dncR/MLSeq documentation built on May 17, 2020, 6:45 p.m.