set_hparams_glmnet

<p>Alpha is set to <code>0</code> for ridge (L2). An alpha of <code>1</code> would make it lasso (L1).</p>

internal

An interface to build machine learning models for
classification and regression problems. 'mikropml' implements the ML
pipeline described by Topçuoğlu et al. (2020)
<doi:10.1128/mBio.00434-20> with reasonable default options for data
preprocessing, hyperparameter tuning, cross-validation, testing, model
evaluation, and interpretation steps.  See the website
<https://www.schlosslab.org/mikropml/> for more information,
documentation, and examples.

Kelly Sovacool

mikropml

User-Friendly R Package for Supervised Machine Learning
Pipelines

Begüm Topçuoğlu

Zena Lapp

Evan Snitkin

Jenna Wiens

Patrick Schloss

Nick Lesniak

Courtney Armour

Sarah Lucas

set_hparams_glmnet function

Author

Set hyperparameters for regression models for use with glmnet — set_hparams_glmnet

Set hyperparameters for regression models for use with glmnet

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set_hparams_glmnet: Set hyperparameters for regression models for use with glmnet

Description

Usage

Arguments

Value

Author