score.default

Julia Equivalent:
<a href="https://docs.interpretable.ai/v3.2.2/IAIBase/reference/#IAI.score-Tuple%7BUnion%7BAbstractString%2C%20Symbol%7D%2C%20Vararg%7BAny%7D%7D"><code>IAI.score</code></a>

An interface to the algorithms of 'Interpretable AI'
<https://www.interpretable.ai> from the R programming language.
'Interpretable AI' provides various modules, including 'Optimal Trees' for
classification, regression, prescription and survival analysis, 'Optimal
Imputation' for missing data imputation and outlier detection, and 'Optimal
Feature Selection' for exact sparse regression. The 'iai' package is an
open-source project. The 'Interpretable AI' software modules are proprietary
products, but free academic and evaluation licenses are available.

Jack Dunn

Interface to 'Interpretable AI' Modules

Ying Zhuo

Interpretable AI LLC 

score.default function

<dl><dt>obj</dt>
<dd>The type of problem.</dd>
<dt>predictions</dt>
<dd>The predictions to evaluate.</dd>
<dt>truths</dt>
<dd>The true target values for these observations.</dd>
<dt>...</dt>
<dd>Other parameters, including the criterion. Refer to the Julia
documentation for available parameters.</dd></dl>

Arguments

Requires IAI version 2.1 or higher.

IAI Compatibility

Julia Equivalent:
<a href='https://docs.interpretable.ai/v3.2.2/IAIBase/reference/#IAI.score-Tuple%7BUnion%7BAbstractString%2C%20Symbol%7D%2C%20Vararg%7BAny%7D%7D'><code>IAI.score</code></a>

Calculate the score for a set of predictions on the given data — score.default

<dl>

<dt>obj</dt>
<dd>The type of problem.</dd>


<dt>predictions</dt>
<dd>The predictions to evaluate.</dd>


<dt>truths</dt>
<dd>The true target values for these observations.</dd>


<dt>...</dt>
<dd>Other parameters, including the criterion. Refer to the Julia
documentation for available parameters.</dd>

</dl>

Requires IAI version 2.1 or higher.

score.default: Calculate the score for a set of predictions on the given data

Description

Usage

Arguments

IAI Compatibility

Examples