VQC.predict

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

Predict the labels for the data.

Parameters

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

  • 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

for each data point, generates the predicted probability for each class list: for each data point, generates the predicted label (that with the highest prob)

Return type

list