HyperModel_class

Defines a searchable space of Models and builds Models from this space.

'Keras Tuner' <https://keras-team.github.io/keras-tuner/> is a hypertuning framework made for humans.
It aims at making the life of AI practitioners, hypertuner
algorithm creators and model designers as simple as possible by
providing them with a clean and easy to use API for hypertuning.
'Keras Tuner' makes moving from a base model to a hypertuned one quick and
easy by only requiring you to change a few lines of code.

Turgut Abdullayev

kerastuneR

Interface to 'Keras Tuner'

 Google Inc.

HyperModel_class function

<dl><dt>name</dt>
<dd>The name of this HyperModel.</dd>
<dt>tunable</dt>
<dd>Whether the hyperparameters defined in this hypermodel should 
be added to search space. If `FALSE`, either the search space for these parameters 
must be defined in advance, or the default values will be used.</dd></dl>

Arguments

HyperModel — HyperModel_class

<dl>

<dt>name</dt>
<dd>The name of this HyperModel.</dd>


<dt>tunable</dt>
<dd>Whether the hyperparameters defined in this hypermodel should 
be added to search space. If `FALSE`, either the search space for these parameters 
must be defined in advance, or the default values will be used.</dd>

</dl>

HyperModel_class: HyperModel

Description

Usage

Value

Arguments