NumPyDiscriminator.train

NumPyDiscriminator.train(data, weights, penalty=False, quantum_instance=None, shots=None)

Perform one training step w.r.t to the discriminator's parameters

প্যারামিটার:

• data (tuple(numpy.ndarray, numpy.ndarray)) -- real_batch: array, Training data batch. generated_batch: array, Generated data batch.

• weights (tuple) -- real problem, generated problem

• penalty (bool) -- Depreciated for classical networks.

• quantum_instance (QuantumInstance) -- Depreciated for classical networks.

• shots (int) -- Number of shots for hardware or qasm execution. Ignored for classical networks.

রিটার্নস:

with Discriminator loss and updated parameters.

রিটার্ন টাইপ:

dict