get_prediction_weights

If a GLMNet learner, the index of the fit in the path to query,
defaulting to the best fit if not supplied.

Julia Equivalent:
<a href="https://docs.interpretable.ai/v3.0.0/OptimalFeatureSelection/reference/#IAI.get_prediction_weights"><code>IAI.get_prediction_weights</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 

get_prediction_weights function

<dl><dt>lnr</dt>
<dd>The learner to query.</dd>
<dt>...</dt>
<dd>If a GLMNet learner, the index of the fit in the path to query,
defaulting to the best fit if not supplied.</dd></dl>

Arguments

Requires IAI version 1.1 or higher.

IAI Compatibility

Julia Equivalent:
<a href='https://docs.interpretable.ai/v3.0.0/OptimalFeatureSelection/reference/#IAI.get_prediction_weights'><code>IAI.get_prediction_weights</code></a>

Return the weights for numeric and categoric features used for prediction in
the trained learner — get_prediction_weights

<dl>

<dt>lnr</dt>
<dd>The learner to query.</dd>


<dt>...</dt>
<dd>If a GLMNet learner, the index of the fit in the path to query,
defaulting to the best fit if not supplied.</dd>

</dl>

Requires IAI version 1.1 or higher.

get_prediction_weights: Return the weights for numeric and categoric features used for prediction in the trained learner

Description

Usage

Arguments

IAI Compatibility

Examples