process_variable_importances

<p>A data.frame, the replicated coefficients.</p>

variable_importances

<p>Takes the variable importances returned by the 
generate_variable_importances function and prepares 
the variable importances for plotting.</p>

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

process_variable_importances: Process variable importances.

Description

Usage

Arguments

Value

See Also