SVCLoss.evaluate

SVCLoss.evaluate(parameter_values, quantum_kernel, data, labels)

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

প্যারামিটার:

• parameter_values (Sequence[float]) -- an array of values to assign to the user params

• quantum_kernel (TrainableKernel) -- A QuantumKernel 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

রিটার্নস:

A loss value

রিটার্ন টাইপ:

float