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Improve handling of missing optimizer in NN classifier/regressor

See original GitHub issue

What is the expected enhancement?

When an optimizer is not passed to neural network classifier/regressor an exception occurs: AttributeError: 'NoneType' object has no attribute 'optimize'. In this issue I suggest to improve this behavior and either raise a more meaningful exception or introduce a default optimizer, e.g. Cobyla or SLSQP.

Issue Analytics

State:
Created 2 years ago
Comments:18 (18 by maintainers)

Top GitHub Comments

2reactions

woodsp-ibmcommented, Jun 24, 2021

There is information around contributing here https://github.com/Qiskit/qiskit-machine-learning/blob/main/CONTRIBUTING.md#contributing which also links to the main Qiskit contributing docs that have a lot of common information.

The easiest way to get the tools you need for development installed is to do a pip install -r requirements-dev.txt - you will see the file in the root of the repo. It has the list of all the tools needed - because they are only needed if you are doing dev they are not part of the standard requirements/install.

1reaction

adekusar-drlcommented, Jun 24, 2021

This is likely due to different line endings in linux and windows: \n vs \r\n. I guess you did not edit copyright notices, so ignore them.

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