Fix predict comment
@@ -335,8 +335,8 @@ class QSVMVariational(QuantumAlgorithm):
data (numpy.ndarray): NxD array, N is number of data, D is data dimension
quantum_instance (QuantumInstance): quantum backend with all setting
Returns:
- [dict]: for each data point, generates the predicted probability for each class
- list: for each data point, generates the predicted label, which with the highest prob
+ list: 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)
"""
batches, _ = self.batch_data(data, None)
predicted_probs = None
