KernelLoss#

आधार: ABC

Abstract base class for computing the loss of a kernel function. Unlike many loss functions, which only take into account the labels and predictions of a model, kernel loss functions may be a function of internal model parameters or quantities that are generated during training.

Methods

abstract evaluate(parameter_values, quantum_kernel, data, labels)[स्रोत]#

An abstract method for evaluating the loss of a kernel function on a labeled dataset.

मापदण्ड:

parameter_values (Sequence[float]) -- An array of values to assign to the user params
quantum_kernel (TrainableKernel) -- A trainable quantum kernel object to evaluate
data (ndarray) -- An (N, M) matrix containing the data N = # samples, M = dimension of data
labels (ndarray) -- A length-N array containing the truth labels

प्रदत्त :

A loss value

प्रदत्त प्रकार :

float