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Two issues here. Currently the target efficiency for rwalk and rtraj are hard-coded. I should make this an argument that can be passed by the user in case they want to play around with these.
In addition, the blob arguments I send back to the chosen NestedSampler are only used to update the scale and are not saved anywhere. Users might want access to these if they want to tune parameters and examine additional arguments besides just scalefactors. I should have both the scalefactors and blobs returned to the user. This should be implemented using a return_tuning=True flag, which returns scalefactors (scale) and tuning parameters (blob).
The text was updated successfully, but these errors were encountered:
Two issues here. Currently the target efficiency for
rwalk
andrtraj
are hard-coded. I should make this an argument that can be passed by the user in case they want to play around with these.In addition, the
blob
arguments I send back to the chosenNestedSampler
are only used to update the scale and are not saved anywhere. Users might want access to these if they want to tune parameters and examine additional arguments besides just scalefactors. I should have both the scalefactors and blobs returned to the user. This should be implemented using areturn_tuning=True
flag, which returns scalefactors (scale
) and tuning parameters (blob
).The text was updated successfully, but these errors were encountered: