voom.train-class: 'voom.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 voom based classifiers, i.e. "voomDLDA", "voomDQDA" and "voomNSC".

Slots

weigtedStats:

a list with elements of weighted statistics which are used for training the model. Weights are calculated from voom transformation.

foldInfo:

a list containing information on cross-validated folds.

control:

a list with control parameters for voom based classifiers.

tuningResults:

a list. It stores the cross-validation results for tuning parameter(s).

finalModel:

a list. It stores results for trained model with optimum parameters.

callInfo:

a list. call info for related function.

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