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I wanted to ask if support for n_jobs=-1 is currently available in the NeoLSSVM model to allow parallelization and use all available CPU cores during training. I am not sure if this functionality is already supported, and I would appreciate it if you could clarify. If this feature is not available yet, I would like to request its addition, as it could greatly improve performance, especially when working with large datasets.
Thanks for your work on this project, and I look forward to your response!
The text was updated successfully, but these errors were encountered:
Hi,
I wanted to ask if support for n_jobs=-1 is currently available in the NeoLSSVM model to allow parallelization and use all available CPU cores during training. I am not sure if this functionality is already supported, and I would appreciate it if you could clarify. If this feature is not available yet, I would like to request its addition, as it could greatly improve performance, especially when working with large datasets.
Thanks for your work on this project, and I look forward to your response!
The text was updated successfully, but these errors were encountered: