voom.train-class {MLSeq} | R Documentation

## `voom.train` object

### 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.

[Package MLSeq version 2.6.0 Index]