print.logforest

Prints the important predictors from a fitted logic forest model.

Logic Forest is an ensemble machine learning method that identifies important and interpretable combinations of binary predictors using logic regression trees to model complex relationships with an outcome. Wolf, B.J., Slate, E.H., Hill, E.G. (2010) <doi:10.1093/bioinformatics/btq354>.

Melica Nikahd

LogicForest

Logic Forest

Bethany Wolf

Andrew Gothard

Madison Hyer

print.logforest function

<dl><dt>x</dt>
<dd>An object of class <code>"logforest"</code>.</dd>
<dt>sortby</dt>
<dd>A character string specifying whether to sort the predictors by <code>"importance"</code> (default) or <code>"frequency"</code>.</dd>
<dt>...</dt>
<dd>Additional arguments (currently ignored).</dd></dl>

Arguments

Print method for logic forest models — print.logforest

<dl>

<dt>x</dt>
<dd>An object of class <code>"logforest"</code>.</dd>


<dt>sortby</dt>
<dd>A character string specifying whether to sort the predictors by <code>"importance"</code> (default) or <code>"frequency"</code>.</dd>


<dt>...</dt>
<dd>Additional arguments (currently ignored).</dd>

</dl>

print.logforest: Print method for logic forest models

Description

Usage

Value

Arguments