kerasFit

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

kerasFit function

<dl><dt>model</dt>
<dd>model
If <code>NULL</code>, a simple keras model will be build, which is considered default
(see <code>getSimpleKerasModel</code>).</dd>
<dt>specList</dt>
<dd>prepared data. See <code>genericDataPrep</code>.
See <code>getGenericTrainValTestData</code>.</dd>
<dt>FLAGS</dt>
<dd>flags, see also <code>mapX2FLAGS</code></dd>
<dt>kerasConf</dt>
<dd>List of additional parameters passed to keras as described in <code>getKerasConf</code>.
Default: <code>kerasConf = getKerasConf()</code>.</dd></dl>

Arguments

kerasFit fit — kerasFit

<dl>

<dt>model</dt>
<dd>model
If <code>NULL</code>, a simple keras model will be build, which is considered default
(see <code>getSimpleKerasModel</code>).</dd>


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


<dt>FLAGS</dt>
<dd>flags, see also <code>mapX2FLAGS</code></dd>


<dt>kerasConf</dt>
<dd>List of additional parameters passed to keras as described in <code>getKerasConf</code>.
Default: <code>kerasConf = getKerasConf()</code>.</dd>

</dl>

kerasFit: kerasFit fit

Description

Usage

Value

Arguments

Details

See Also