experimentData-class

An experimentData object contains information concerning the experiment.
These objects can be used to instantiate multiple experiments using the same
iterations, feature information and variable importance.

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) 

experimentData-class function

<dl>
<dt><code>experiment_setup</code></dt>
<dd>Contains regarding the experimental setup that is used
to generate the iteration list.</dd></dl>
<dt><code>iteration_list</code></dt>
<dd>List of iteration data that determines which instances
are assigned to training, validation and test sets.</dd>
<dt><code>feature_info</code></dt>
<dd>Feature information objects. Only available if the
experimentData object was generated using the <code>precompute_feature_info</code> or
<code>precompute_vimp</code> functions.</dd>
<dt><code>vimp_table_list</code></dt>
<dd>List of variable importance table objects. Only
available if the experimentData object was created using the
<code>precompute_vimp</code> function.</dd>
<dt><code>project_id</code></dt>
<dd>Identifier of the project that generated the experimentData
object.</dd>
<dt><code>familiar_version</code></dt>
<dd>Version of the familiar package used to create this
experimentData.</dd>

Slots

Experiment data — experimentData-class

<dl>
<dt><code>experiment_setup</code></dt>
<dd>Contains regarding the experimental setup that is used
to generate the iteration list.</dd>


<dt><code>iteration_list</code></dt>
<dd>List of iteration data that determines which instances
are assigned to training, validation and test sets.</dd>


<dt><code>feature_info</code></dt>
<dd>Feature information objects. Only available if the
experimentData object was generated using the <code>precompute_feature_info</code> or
<code>precompute_vimp</code> functions.</dd>


<dt><code>vimp_table_list</code></dt>
<dd>List of variable importance table objects. Only
available if the experimentData object was created using the
<code>precompute_vimp</code> function.</dd>


<dt><code>project_id</code></dt>
<dd>Identifier of the project that generated the experimentData
object.</dd>


<dt><code>familiar_version</code></dt>
<dd>Version of the familiar package used to create this
experimentData.</dd>


</dl>

experimentData-class: Experiment data

Description

Arguments

Slots

Details

See Also