Comments (1)
ElePT
commented on July 29, 2024
Update: There is a confirmed bug in RawFeatureVector regarding the bind_parameters() method (I'll make a PR fixing it). Now we can see that if the parameters are bound, the following error arises:
File "/Users/elena/Documents/Code/qiskit/qiskit-machine-learning/qiskit_machine_learning/neural_networks/neural_network.py", line 126, in _validate_input
raise QiskitMachineLearningError(
qiskit_machine_learning.exceptions.QiskitMachineLearningError: 'Input data has incorrect shape, last dimension is not
equal to the number of inputs: 0, but got: 4.'
This makes sense, as binding the parameters reduces the number of inputs.... Maybe there should be a way of avoiding the parameter initialization when RawFeatureVector is used as a feature map? Or should it just not be used in this context? In that case, in what context is it useful?
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