as.ebm

If possible, coerces its input to an ebm object.

An interface to the 'Python' 'InterpretML' framework for fitting explainable boosting machines (EBMs); see Nori et al. (2019) <doi:10.48550/arXiv.1909.09223> for details. EBMs are a modern type of generalized additive model that use tree-based, cyclic gradient boosting with automatic interaction detection. They are often as accurate as state-of-the-art blackbox models while remaining completely interpretable.

Brandon Greenwell

Explainable Boosting Machines

as.ebm function

<dl><dt>x</dt>
<dd>An object that inherits from class
<code>"interpret.glassbox._ebm._ebm.ExplainableBoostingClassifier"</code> or
<code>"interpret.glassbox._ebm._ebm.ExplainableBoostingRegressor"</code>. For instance,
the result of calling <code>fit$copy()</code> where <code>fit</code> is a fitted <code>ebm()</code> object.</dd>
<dt>...</dt>
<dd>Additional optional arguments. (Currently ignored.)</dd></dl>

Arguments

Coerce to an EBM object — as.ebm

<dl>

<dt>x</dt>
<dd>An object that inherits from class
<code>"interpret.glassbox._ebm._ebm.ExplainableBoostingClassifier"</code> or
<code>"interpret.glassbox._ebm._ebm.ExplainableBoostingRegressor"</code>. For instance,
the result of calling <code>fit$copy()</code> where <code>fit</code> is a fitted <code>ebm()</code> object.</dd>


<dt>...</dt>
<dd>Additional optional arguments. (Currently ignored.)</dd>

</dl>

as.ebm: Coerce to an EBM object

Description

Usage

Value

Arguments