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Currently ETKDG only takes random_seed as an argument. Would be better if it could also take additional arguments for generating conformers.
random_seed
The text was updated successfully, but these errors were encountered:
Agreed. Also, what do you think of presets that match the different versions from the different papers?
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Were you thinking presets as different classes or as different arguments for the same optimizer?
Would say arguments
Make sure this papers features are implemented:: https://pubs.acs.org/doi/abs/10.1021/acs.jcim.0c00025
stevenkbennett
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Currently ETKDG only takes
random_seed
as an argument. Would be better if it could also take additional arguments for generating conformers.The text was updated successfully, but these errors were encountered: