DiscriminativeNetwork.train

abstract DiscriminativeNetwork.train(data, weights, penalty=False, quantum_instance=None, shots=None)[source]

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

Parameters

  • data (numpy.ndarray) – Data batch.

  • weights (numpy.ndarray) – Data sample weights.

  • penalty (bool) – Indicate whether or not penalty function is applied to the loss function. Ignored if no penalty function defined.

  • quantum_instance (QuantumInstance) – used to run Quantum network. Ignored for a classical network.

  • shots (int) – Number of shots for hardware or qasm execution. Ignored for classical network

Returns

with Discriminator loss and updated parameters.

Return type

dict

Raises

NotImplementedError – not implemented