R: Elastic net objective function value

obj_function {glmnet}

R Documentation

Elastic net objective function value

Returns the elastic net objective function value.

obj_function(y, mu, weights, family, lambda, alpha, coefficients, vp)

`y`	Quantitative response variable.
`mu`	Model's predictions for `y`.
`weights`	Observation weights.
`family`	A description of the error distribution and link function to be used in the model. This is the result of a call to a family function.
`lambda`	A single value for the `lambda` hyperparameter.
`alpha`	The elasticnet mixing parameter, with `0 \le \alpha \le 1`.
`coefficients`	The model's coefficients (excluding intercept).
`vp`	Penalty factors for each of the coefficients.

[Package glmnet version 4.1-8 Index]