extract_variable_importances.easy_random_forest

<p>A list of class <code>easy_random_forest</code>.</p>

object

<p>This function wraps the procedure for extracting variable importances
 from a random forest model and makes it accessible 
to the easyml core framework.</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

extract_variable_importances.easy_random_forest: Extract variable importance scores from a random forest model.

Description

Usage

Arguments

Value