predict_hazard.glmnetcv_survival_learner

A higher hazard coefficient estimate corresponds to a smaller predicted
survival time.

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 

predict_hazard.glmnetcv_survival_learner function

<dl><dt>obj</dt>
<dd>The learner or grid to use for prediction.</dd>
<dt>X</dt>
<dd>The features of the data.</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 3.0 or higher.

IAI Compatibility

Return the fitted hazard coefficient estimate made by a
glmnetcv_survival_learner for each point in the features. — predict_hazard.glmnetcv_survival_learner

<dl>

<dt>obj</dt>
<dd>The learner or grid to use for prediction.</dd>


<dt>X</dt>
<dd>The features of the data.</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 3.0 or higher.

predict_hazard.glmnetcv_survival_learner: Return the fitted hazard coefficient estimate made by a `glmnetcv_survival_learner` for each point in the features.

Description

Usage

Arguments

IAI Compatibility

Details

Examples