GLMNETHyperparameters
VariantElastic net (glmnet). See `setup_GLMNET`.
Properties
alphatunablenumberdefault1≥ 0≤ 1Elastic net mixing parameter (0 = ridge, 1 = lasso).
familystring | nulldefaultnullGLM family. NULL = set from outcome type.
one of
"gaussian""binomial""poisson""multinomial""cox""mgaussian"offsetarray | nulldefaultnull≥ 1 itemsOffset. Must have one value per case.
which_lambda_cvstringdefault"lambda.1se"Which cross-validated lambda to use for prediction.
one of
"lambda.1se""lambda.min"nlambdaintegerdefault100≥ 1Number of lambda values.
lambdaarray | nulldefaultnull≥ 1 itemsRegularization strength. NULL = determined by cv.glmnet during tuning.
penalty_factorarray | nulldefaultnull≥ 1 itemsPenalty factor, one per feature.
standardizebooleandefaulttrueStandardize features.
interceptbooleandefaulttrueInclude intercept.
ifwtunablebooleandefaulttrueInverse Frequency Weighting in classification.
Relationships
Used by