discrete.train-class {MLSeq} | R Documentation

## `discrete.train` object

### 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.

[Package MLSeq version 2.6.0 Index]