pyMAISE.Float

class pyMAISE.Float(min_value, max_value, step=None, sampling='linear', default=None, parent_name=None, parent_values=None)[source]

Bases: HyperParameters

Define an floating point hyperparameter. This is used in neural network hyperparameter tuning.

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

__init__(min_value, max_value, step=None, sampling='linear', default=None, parent_name=None, parent_values=None)[source]

Methods

hp(hp, hp_name)

Create an instance of keras_tuner.HyperParameters.Float.

hp(hp, hp_name)[source]

Create an instance of keras_tuner.HyperParameters.Float.

Parameters:

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

Returns:

float_hp – Float KerasTuner hyperparameter.

Return type:

keras_tuner.HyperParameters.Float