predict.GlmnetModelDefinition: Generate predictions for a glmnet model.
Description
Generate predictions for a glmnet model.
Usage
## S3 method for class 'GlmnetModelDefinition':
predict(object, data, verbose = FALSE, \dots)
Arguments
object
An object from ModelDefinition.
data
A dataframe that will be used to generate predictions.
verbose
If TRUE then prediction information will be printed to the console.
...
Extra unused arguments.
Value
A list is returned with elements as follows:
model.matrixThe model matrix used to calculate predicted values.
predictedPredicted values.
lambdaThe lambda value used by glmnet.
Details
This function generates predictions using the data provided. If columns in the model matrix are missing
then columns of zeros will be inserted and a warning will be generated. Typically transformations are
applied using GetTransforms before predict is applied.