preprocessData: A function that wraps around...
In OHDSI/PatientLevelPrediction: Developing patient level prediction using data in the OMOP Common Data Model
preprocessData R Documentation
A function that wraps around FeatureExtraction::tidyCovariateData to normalise the data
and remove rare or redundant features
Description
A function that wraps around FeatureExtraction::tidyCovariateData to normalise the data
and remove rare or redundant features
Usage
preprocessData(covariateData, preprocessSettings)
Arguments
covariateData
The covariate part of the training data created by splitData after being sampled and having
any required feature engineering
preprocessSettings
The settings for the preprocessing created by createPreprocessSettings
Details
Returns an object of class covariateData that has been processed
Value
The data processed
OHDSI/PatientLevelPrediction documentation built on May 3, 2024, 12:11 a.m.
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| preprocessData | R Documentation |
A function that wraps around FeatureExtraction::tidyCovariateData to normalise the data and remove rare or redundant features
Description
A function that wraps around FeatureExtraction::tidyCovariateData to normalise the data and remove rare or redundant features
Usage
preprocessData(covariateData, preprocessSettings)
Arguments
covariateData |
The covariate part of the training data created by |
preprocessSettings |
The settings for the preprocessing created by |
Details
Returns an object of class covariateData that has been processed
Value
The data processed
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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