validateModel-PCOSP_or_RLS_or_RGA-CohortList-method: Evaluate the Performance of a List of Trained KTSP Models...
In bhklab/PDATK: Pancreatic Ductal Adenocarcinoma Tool-Kit

Description Usage Arguments Value See Also Examples

Evaluate the Performance of a List of Trained KTSP Models from a PCOSP Model

1 2	## S4 method for signature 'PCOSP_or_RLS_or_RGA,CohortList' validateModel(model, valData, ...)

`model`	A `PCOSP` model which has been trained using `trainModel`.
`valData`	A `CohortList` containing one or more `SurvivalExperiment`s. The first assay in each `SurvivalExperiment` will be classified using all top scoring KTSP models in `models(model)`.
`...`	Fallthrough arguments to `BiocParallel::bplapply`, use this to configure the parallelization settings for this function. For example to specify BPARAM.

The model object with the validationStats and validationData slots occupied.

BiocParallel::bplapply, switchBox::SWAP.KTSP.Classify

data(sampleTrainedPCOSPmodel)
data(samplePCOSPpredList)

# Set parallelization settings
BiocParallel::register(BiocParallel::SerialParam())

# Validate model
validatedPCOSPmodel <- validateModel(sampleTrainedPCOSPmodel,
  valData=samplePCOSPpredList)