TrainParams {ClassifyR} | R Documentation

## Parameters for Classifier Training

### Description

Collects and checks necessary parameters required for classifier training. The empty constructor is provided for convenience.

### Constructor

  `TrainParams()` Creates a default TrainParams object. The classifier function is DLDA. Users should create an appropriate `TrainParams` object for the characteristics of their data, once they are familiar with this software.

      TrainParams(classifier, intermediate = character(0), getFeatures = NULL, ...)

  Creates a TrainParams object which stores the function which will do the classifier building and parameters that the function will use.

  `classifier`

    A function which will construct a classifier, and also possibly make the predictions. The first argument must be a `DataFrame` object. The second argument must be a vector of classes. If the function also makes predictions and the value of the `predictor` setting of `PredictParams` is therefore `NULL`, the third argument must be a `DataFrame` of test data. The function must also accept a parameter named `verbose`. The function's return value can be either a trained classifier if the function only does training or a vector or data frame of class predictions if it also does prediction with the test set samples.

  `intermediate`

    Character vector. Names of any variables created in prior stages by `runTest` that need to be passed to `classifier`.

  `getFeatures`

    A function may be specified that extracts the selected features from the trained model. This is relevant if using a classifier that does feature selection within training (e.g. random forest). The function must return a list of two vectors. The first vector contains the ranked features (or empty if the training algorithm doesn't produce rankings) and the second vector contains the selected features.

  `...`

    Other named parameters which will be used by the classifier.

### Author(s)

Dario Strbenac

### Examples

    #if(require(sparsediscrim))
      trainParams <- TrainParams(DLDAtrainInterface)

[Package ClassifyR version 2.10.0 Index]