predict_glmnet

object

Sent to <code><a href="/link/predict.glmnet?package=emil&version=2.0.2&to=glmnet" rd-options="glmnet" data-mini-rdoc="glmnet::predict.glmnet">predict.glmnet</a></code>.

Due to the way <code><a href="/link/glmnet?package=emil&version=2.0.2&to=glmnet" rd-options="glmnet" data-mini-rdoc="glmnet::glmnet">glmnet</a></code> is implemented, the regularization alpha
can not be modified after the model is fitted.

A toolbox for designing and evaluating predictive models with
    resampling methods. The aim of this package is to provide a simple and
    efficient general framework for working with any type of prediction
    problem, be it classification, regression or survival analysis, that is
    easy to extend and adapt to your specific setting. Some commonly used
    methods for classification, regression and survival analysis are included.

predict_glmnet: Predict using generalized linear model with elastic net regularization

Description

Usage

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See Also