 the objectives to maximize. The `objective` argument is optional when `Tuner.run_trial()` or `HyperModel.fit()` returns a single float as the objective to minimize.</p></dd>


<dt>max_epochs</dt>
<dd><p>Integer, the maximum number of epochs to train one model. It is recommended to set this to a value slightly higher than the expected epochs to convergence for your largest Model, and to use early stopping during training (for example, via `tf.keras.callbacks.EarlyStopping`). Defaults to 100.</p></dd>


<dt>