VQC.train

VQC.train(data, labels, quantum_instance=None, minibatch_size=- 1)[source]

Train the models, and save results.

Parameters

  • data (numpy.ndarray) – NxD array, N is number of data and D is dimension

  • labels (numpy.ndarray) – Nx1 array, N is number of data

  • quantum_instance (QuantumInstance) – quantum backend with all setting

  • minibatch_size (int) – the size of each minibatched accuracy evaluation