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it should be able to do the conventional fitting--provide a function template, user is able to dictate which parameters to float/freeze, then run the fit as usual. this would allow user to input a candidate function found from previous run and then fine-tune it in the next run. this should make the api more inclusive and allow user to run the traditional approach as well, not just the sr way.
The text was updated successfully, but these errors were encountered:
it should be able to do the conventional fitting--provide a function template, user is able to dictate which parameters to float/freeze, then run the fit as usual. this would allow user to input a candidate function found from previous run and then fine-tune it in the next run. this should make the api more inclusive and allow user to run the traditional approach as well, not just the sr way.
The text was updated successfully, but these errors were encountered: