aggregate_vimp_table

aggregate_vimp_table,list-method

aggregate_vimp_table,character-method

aggregate_vimp_table,vimpTable-method

aggregate_vimp_table,NULL-method

aggregate_vimp_table,experimentData-method

This methods aggregates variable importance from one or more
<code>vimpTable</code> objects.

Single unified interface for end-to-end modelling of regression,
categorical and time-to-event (survival) outcomes. Models created using
familiar are self-containing, and their use does not require additional
information such as baseline survival, feature clustering, or feature
transformation and normalisation parameters. Model performance,
calibration, risk group stratification, (permutation) variable importance,
individual conditional expectation, partial dependence, and more, are
assessed automatically as part of the evaluation process and exported in
tabular format and plotted, and may also be computed manually using export
and plot functions. Where possible, metrics and values obtained during the
evaluation process come with confidence intervals.

Alex Zwanenburg

familiar

End-to-End Automated Machine Learning and Model Evaluation

Steffen Löck

Stefan Leger

Iram Shahzadi

Asier Rabasco Meneghetti

Sebastian Starke

Technische Universität Dresden 

German Cancer Research Center (DKFZ) 

aggregate_vimp_table function

<dl><dt>x</dt>
<dd>Variable importance (<code>vimpTable</code>) object, a list thereof, or one or
more paths to these objects.</dd>
<dt>aggregation_method</dt>
<dd>Method used to aggregate variable importance. The
available methods are described in the feature selection methods vignette.</dd>
<dt>rank_threshold</dt>
<dd>Rank threshold used within several aggregation methods.
See the feature selection methods vignette for more details.</dd>
<dt>...</dt>
<dd>unused parameters.</dd></dl>

Arguments

Aggregate variable importance from multiple variable importance
objects. — aggregate_vimp_table

<dl>

<dt>x</dt>
<dd>Variable importance (<code>vimpTable</code>) object, a list thereof, or one or
more paths to these objects.</dd>


<dt>aggregation_method</dt>
<dd>Method used to aggregate variable importance. The
available methods are described in the feature selection methods vignette.</dd>


<dt>rank_threshold</dt>
<dd>Rank threshold used within several aggregation methods.
See the feature selection methods vignette for more details.</dd>


<dt>...</dt>
<dd>unused parameters.</dd>

</dl>

Aggregate variable importance from multiple variable importance
objects.

aggregate_vimp_table: Aggregate variable importance from multiple variable importance objects.

Description

Usage

Value

Arguments