hyperparameter

Interface function to get the correct type of hyperparameter.

class Hyperparameter(hotype=None, opttype='float', name='', low=0, high=0, choices=None)[source]

Base class for all hyperparameters.

Will always return the correct subclass of hyperparameter.

Parameters:

hotype (string) –
Type of hyperparameter. Currently supported:
- optuna: Hyperparameter for HyperOptOptuna.
- oat: Hyperparameter for HyperOptOAT.
- naswot: Hyperparameter for HyperOptNASWOT.
opttype (string) –
Datatype of the hyperparameter. Follows optunas naming convetions. In principle supported are:
- float
- int
- categorical (list)
Float and int are not available for OA based approaches at the moment.
name (string) – Name of the hyperparameter. Please note that these names always have to be distinct; if you e.g. want to investigate multiple layer sizes use e.g. ff_neurons_layer_001, ff_neurons_layer_002, etc. as names.
low (float or int) – Lower bound for numerical parameter.
high (float or int) – Higher bound for numerical parameter.
choices (list) – List of possible choices (for categorical parameter).

Returns:

hyperparameter – Hyperparameter in desired format.

Return type: