process_coefficients

A data.frame, the replicated coefficients.

coefficients

A numeric vector of length one; for <code><a rd-options="" href="/link/easy_glmnet?package=easyml&version=0.1.0" data-mini-rdoc="easyml::easy_glmnet">easy_glmnet</a></code>, specifies the minimal threshold (as a percentage) a coefficient must appear out of n_samples. Defaults to 0.05.

survival_rate_cutoff

Takes the coefficients returned by the generate_coefficients function 
and prepares the coefficients for plotting.

Easily build and evaluate machine learning models on a dataset. Machine
learning models supported include penalized linear models, penalized linear models
with interactions, random forest, support vector machines, neural networks,
and deep neural networks.

WooYoung Ahn

easyml

Easily Build and Evaluate Machine Learning Models

Woo-Young Ahn

Paul Hendricks

OSU-CCSL 

process_coefficients function

A numeric vector of length one; for <code><a rd-options='' href='easy_glmnet'>easy_glmnet</a></code>, specifies the minimal threshold (as a percentage) a coefficient must appear out of n_samples. Defaults to 0.05.

process_coefficients: Process coefficients.

Description

Usage

Arguments

Value

See Also