[Enhancement] Callback for PegasosQSVC
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Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- python
- Domain
- machine-learning
Research direction
Locate the PegasosQSVC training implementation and compare its callback behavior with qiskit_machine_learning/algorithms/classifiers/vqc.py. Identify how the objective function is produced during training and define the callback invocation and arguments. Done means users can monitor that objective while PegasosQSVC trains, with tests covering the behavior.
Written by the indexing model from the issue text.
Description
What should we add?
Hello, I'm new to the Qiskit community. I was wondering if it would be possible to add a callback function that allows users to monitor the objective function during training of PegasosQSVC - similar to what is available with VQC.
Happy to try and work on that if given some direction.
Thanks,
T
- Dominant language
- Python
- Stars
- 1.1k
- Forks
- 457
- PR merge metrics
- No merged PRs in 30d
Getting set up
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