evalKerasGeneric

Hyperparameter Tuning: Keras Generic Classification Function.

Implements additional models, simulation tools, and interfaces as extensions to 'SPOT'.
It provides tools for hyperparameter tuning via 'keras/tensorflow', interfacing 'mlr', for performing Markov chain simulations,
and for sensitivity analysis based on sequential bifurcation methods as described in Bettonvil and Kleijnen (1996).
Furthermore, additional plotting functions for output from 'SPOT' runs are implemented.
Bartz-Beielstein T, Lasarczyk C W G, Preuss M (2005) <doi:10.1109/CEC.2005.1554761>.
Bartz-Beielstein T, Zaefferer M, Rehbach F (2021) <arXiv:1712.04076>.
Bartz-Beielstein T, Rehbach F, Sen A, Zaefferer M <arXiv:2105.14625>.
Bettonvil, B, Kleijnen JPC (1996) <doi:10.1016/S0377-2217(96)00156-7>.

Thomas Bartz-Beielstein

SPOTMisc

Misc Extensions for the 'SPOT' Package

Martin Zaefferer

Frederik Rehbach

evalKerasGeneric function

<dl><dt>x</dt>
<dd>matrix of transformed hyperparameter values to evaluate with the function.
If <code>NULL</code>, a simple keras model will be build, which is considered default
(see <code>getSimpleKerasModel</code>).</dd>
<dt>kerasConf</dt>
<dd>List of additional parameters passed to keras as described in
<code>getKerasConf</code>. If no value is specified, stop() is called.</dd>
<dt>specList</dt>
<dd>prepared data. See <code>genericDataPrep</code>.
See <code>getGenericTrainValTestData</code>.</dd></dl>

Arguments

evalKerasGeneric model building and compile — evalKerasGeneric

<dl>

<dt>x</dt>
<dd>matrix of transformed hyperparameter values to evaluate with the function.
If <code>NULL</code>, a simple keras model will be build, which is considered default
(see <code>getSimpleKerasModel</code>).</dd>


<dt>kerasConf</dt>
<dd>List of additional parameters passed to keras as described in
<code>getKerasConf</code>. If no value is specified, stop() is called.</dd>


<dt>specList</dt>
<dd>prepared data. See <code>genericDataPrep</code>.
See <code>getGenericTrainValTestData</code>.</dd>

</dl>

evalKerasGeneric: evalKerasGeneric model building and compile

Description

Usage

Value

Arguments

Details

See Also