A function that wraps around FeatureExtraction::tidyCovariateData to normalise the data and remove rare or redundant features
Source:R/PreprocessingData.R
preprocessData.RdA function that wraps around FeatureExtraction::tidyCovariateData to normalise the data and remove rare or redundant features
preprocessData(covariateData, preprocessSettings)Arguments
- covariateData
The covariate part of the training data created by
splitDataafter being sampled and having any required feature engineering- preprocessSettings
The settings for the preprocessing created by
createPreprocessSettings
Value
The data processed
Details
Returns an object of class covariateData that has been processed