get_prediction_constant.glmnetcv_learner

Julia Equivalent:
<a href="https://docs.interpretable.ai/v3.2.2/Heuristics/reference/#IAI.get_prediction_constant-Tuple%7BGLMNetCVLearner%7D"><code>IAI.get_prediction_constant</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_constant.glmnetcv_learner function

<dl><dt>obj</dt>
<dd>The learner to query.</dd>
<dt>fit_index</dt>
<dd>The index of the fit in the path to use for prediction,
defaulting to the best fit if not supplied.</dd>
<dt>...</dt>
<dd>Additional arguments (unused)</dd></dl>

Arguments

Requires IAI version 2.1 or higher.

IAI Compatibility

Julia Equivalent:
<a href='https://docs.interpretable.ai/v3.2.2/Heuristics/reference/#IAI.get_prediction_constant-Tuple%7BGLMNetCVLearner%7D'><code>IAI.get_prediction_constant</code></a>

Return the constant term in the prediction in a trained
GLMNet learner — get_prediction_constant.glmnetcv_learner

<dl>

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


<dt>fit_index</dt>
<dd>The index of the fit in the path to use for prediction,
defaulting to the best fit if not supplied.</dd>


<dt>...</dt>
<dd>Additional arguments (unused)</dd>

</dl>

Requires IAI version 2.1 or higher.

get_prediction_constant.glmnetcv_learner: Return the constant term in the prediction in a trained GLMNet learner

Description

Usage

Arguments

IAI Compatibility

Examples