VQC.test

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

Predict the labels for the data, and test against with ground truth labels.

Parameters

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

  • params (list) – list of parameters to populate in the variational form

Returns

classification accuracy

Return type

float