crossValidatePredictiveModel: Perform cross validation on a preditive model, this method...

In Sage-Bionetworks/predictiveModeling: The predictive modeling package allows users to write custom predictive models or use off-the-shelf models via caret, and compare their performance.

Description

Perform cross validation on a preditive model, this method support both caret models and PredictiveModels

Usage

  crossValidatePredictiveModel(featureData, responseData,
    model, numFolds = 5, trControl = defaultTrainControl(),
    ...)

Arguments

featureData
responseData
method	either an instance of PredictiveModel or a string holding the name of one of the machine learning methods that caret supports
numFolds	defaults to 5
trControl	defaults to defaultTrainControl

Value

a list of PredictiveModelPerformance one per fold

Author(s)

Adam Margolin

See Also

defaultTrainControl

Sage-Bionetworks/predictiveModeling documentation built on May 9, 2019, 12:12 p.m.