smac.model.gaussian_process.abstract_gaussian_process¶
Classes¶
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Abstract base class for all Gaussian process models. |
Interfaces¶
- class smac.model.gaussian_process.abstract_gaussian_process.AbstractGaussianProcess(configspace, kernel, instance_features=None, pca_components=7, seed=0)[source]¶
Bases:
AbstractModel
Abstract base class for all Gaussian process models.
- Parameters:
configspace (ConfigurationSpace)
kernel (Kernel) – Kernel which is used for the Gaussian process.
instance_features (dict[str, list[int | float]] | None, defaults to None) – Features (list of int or floats) of the instances (str). The features are incorporated into the X data, on which the model is trained on.
pca_components (float, defaults to 7) – Number of components to keep when using PCA to reduce dimensionality of instance features.
seed (int)
- property meta: dict[str, Any]¶
Returns the meta data of the created object.