extract_hyperparameters

Collects hyperparameters from models in a <code>familiarEnsemble</code>.

internal

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) 

extract_hyperparameters function

<dl><dt>object</dt>
<dd>A <code>familiarEnsemble</code> object, which is an ensemble of one or more
<code>familiarModel</code> objects.</dd>
<dt>message_indent</dt>
<dd>Number of indentation steps for messages shown during
computation and extraction of various data elements.</dd>
<dt>verbose</dt>
<dd>Flag to indicate whether feedback should be provided on the
computation and extraction of various data elements.</dd>
<dt>...</dt>
<dd>Unused arguments.</dd></dl>

Arguments

Internal function to extract hyperparameters from models. — extract_hyperparameters

<dl>

<dt>object</dt>
<dd>A <code>familiarEnsemble</code> object, which is an ensemble of one or more
<code>familiarModel</code> objects.</dd>


<dt>message_indent</dt>
<dd>Number of indentation steps for messages shown during
computation and extraction of various data elements.</dd>


<dt>verbose</dt>
<dd>Flag to indicate whether feedback should be provided on the
computation and extraction of various data elements.</dd>


<dt>...</dt>
<dd>Unused arguments.</dd>

</dl>

Internal function to extract hyperparameters from models.

extract_hyperparameters: Internal function to extract hyperparameters from models.

Description

Usage

Value

Arguments