get_vimp_method_names,familiarCollection-method

get_vimp_method_names

Variable importance methods in familiarCollection objects can
have custom names for export and plotting. This function retrieves the
currently assigned names.

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

German Cancer Research Center (DKFZ) 

Technische Universität Dresden 

get_vimp_method_names,familiarCollection-method function

<dl><dt>x</dt>
<dd>A familiarCollection object.</dd></dl>

Arguments

Get current variable importance method name labels — get_vimp_method_names,familiarCollection-method

<dl>

<dt>x</dt>
<dd>A familiarCollection object.</dd>

</dl>

get_vimp_method_names,familiarCollection-method: Get current variable importance method name labels

Description

Usage

Value

Arguments

Details

See Also