 to test, and the number of models that should be built and fit for each trial <code>(executions_per_trial)</code>.</p>
<p>Available tuners are <code>RandomSearch</code> and <code>Hyperband</code>.</p>
<blockquote>
<p>Note: the purpose of having multiple executions per trial is to reduce results variance and therefore be able to more accurately assess the performance of a model. If you want to get results faster, you could set executions_per_trial=1 (single round of training for each model configuration).</