TrainableKernel

class TrainableKernel(*, training_parameters=None, **kwargs)

ベースクラス: BaseKernel, ABC

An abstract definition of the ability to train kernel via specifying training parameters.

パラメータ:

• training_parameters (ParameterVector | Sequence[Parameter] | None) – a sequence of training parameters.

• **kwargs – Additional parameters may be used by the super class.

Attributes

enforce_psd	Returns True if the kernel matrix is required to project to the closest positive semidefinite matrix.
feature_map	Returns the feature map of this kernel.
num_features	Returns the number of features in this kernel.
num_training_parameters	Returns the number of training parameters.
parameter_values	Returns numerical values assigned to the training parameters as a numpy array.
training_parameters	Returns the vector of training parameters.

Methods

assign_training_parameters(parameter_values)	Fix the training parameters to numerical values.
evaluate(x_vec[, y_vec])	Construct kernel matrix for given data.