Configuration
Configuration#
A Configuration is an dict-like object,
going from the name of selected hyperparameters to the values.
Underneath the hood, there is some vectorized representation of the configuration,
which in this case may look like np.array([0.32, 1]) which stands for {"a": 3.2, "b": "dog"}.
This vectorized representation can be useful for optimizer numerical optimization algorithms.
You can access it with configuration.get_array().
Tip
All Configuration have a reference to the underlying
ConfigurationSpace
which can be access with Configuration.config_space.
For more, please check out the API documentation for Configuration.