deephyper.problem.Configuration

class deephyper.problem.Configuration(configuration_space: ConfigurationSpace, values: None | Dict[str, str | float | int] = None, vector: None | ndarray = None, allow_inactive_with_values: bool = False, origin: Any = None, config_id: int | None = None)

Bases: Mapping

Methods

get	Return for a given hyperparameter name item the value of this hyperparameter.
get_array	Return the internal vector representation of the Configuration.
get_dictionary	Return a representation of the Configuration in dictionary form.
is_valid_configuration	Check if the object is a valid Configuration.
items
keys	Cache the keys to speed up the process of retrieving the keys.
values

get(item: unicode, default: None | Any = None) → None | Any

Return for a given hyperparameter name item the value of this hyperparameter. default if the hyperparameter name doesn’t exist.

Parameters:

• item (str) – Name of the desired hyperparameter

• default (None, Any) –

Returns:

Value of the hyperparameter

Return type:

Any, None

get_array() → ndarray

Return the internal vector representation of the Configuration. All continuous values are scaled between zero and one.

Returns:

The vector representation of the configuration

Return type:

numpy.ndarray

get_dictionary() → Dict[str, str | float | int]

Return a representation of the Configuration in dictionary form.

Returns:

Configuration as dictionary

Return type:

dict

is_valid_configuration() → None

Check if the object is a valid Configuration. Raise an error if configuration is not valid.

items() → a set-like object providing a view on D's items

keys() → List[str]

Cache the keys to speed up the process of retrieving the keys.

Returns:

list of keys

Return type:

list(str)

values() → an object providing a view on D's values