pyMAISE.Choice

class pyMAISE.Choice(values, ordered=None, default=None, parent_name=None, parent_values=None)[source]

Bases: HyperParameters

Define choice hyperparameter. This is used in neural network hyperparameter tuning. This can be used for string or other parameters where a range is not applicable.

Refer to KerasTuner’s documentation for information on the arguments [C+15].

__init__(values, ordered=None, default=None, parent_name=None, parent_values=None)[source]

Methods

hp(hp, hp_name)

Create an instance of keras_tuner.HyperParameters.Choice.

Attributes

values

The possible choices for the hyperparameter.

hp(hp, hp_name)[source]

Create an instance of keras_tuner.HyperParameters.Choice.

Parameters:

hp (keras_tuner.HyperParameters) – Base hyperparameter class.
hp_name (str) – Name of the hyperparameter.

Returns:

choice_hp – Choice KerasTuner hyperparameter.

Return type:

keras_tuner.HyperParameters.Choice

property values

The possible choices for the hyperparameter.

Type:: list of int, float, str, or bool