NumPyDiscriminator.train¶
- NumPyDiscriminator.train(data, weights, penalty=False, quantum_instance=None, shots=None)[source]¶
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: